Persistent intelligence
RUBI maintains operational context beyond a single question or session.
Autonomous AI Agent & Personal AI Operator
Meet RUBI. Your AI That Gets Things Done.
RUBI is an autonomous AI agent designed to go beyond conversation. Talk naturally, automate workflows, interact with applications, manage everyday tasks, and turn your instructions into real actions — all through one intelligent AI operator. Connected accounts and device actions stay within your permissions.
Explore RUBI AI
Meet RUBI
Watch the RUBI film
See how RUBI connects awareness, authorized action, proof and measurable value.
Podcast
Meet RUBI, the Persistent Intelligence System
A conversation about what persistent operational intelligence means for people, companies and investors.
RUBI Highlights
Intelligence that stays with the work
Two concise perspectives on how RUBI connects persistent intelligence with proactive, governed operations.
Proactive operations
Authorized signals become structured decisions, action and measurable proof.
Technology & architecture
BUILT BEYOND THE MODEL
RUBI is not defined by one foundation model. Its architecture connects persistent memory, organizational context, tools, permissions, multimodal perception, verified execution and measurable business outcomes.
Is RUBI just an LLM wrapper?
No. Foundation models provide reasoning, but they are only one replaceable layer. RUBI combines persistent memory, organizational context, structured data, entity relationships, perception, tools, permissions, execution, monitoring, audit, proof and value measurement.
What is proprietary?
RobLabs controls the RUBI product architecture, business logic, workflows, intelligence layers, memory structures and operational concepts. The system uses version-controlled source code and standard technologies to remain portable and maintainable.
How does RUBI scale?
RUBI separates workloads instead of treating the platform as one monolithic AI request. Voice, monitoring, memory, workflow execution, model inference, email, browser work, durable tasks and analytics can evolve independently.
Is RUBI model-agnostic?
No. RUBI is designed around model routing. Approved models can be selected by speed, cost, reasoning depth, privacy, language, voice, vision and specialist capability. Private or local models are part of the supported deployment roadmap.
How is enterprise data protected?
RUBI uses account and organization data scopes, role-based access, row-level security, permission-controlled actions, encrypted transport, protected credential storage and audit records. Sensitive credentials are not stored in ordinary application records or exposed to browsers.
Why is RUBI difficult to replicate?
No single component is impossible to recreate. The difficult part is the integrated system and accumulated organizational context: memory, relationships, baselines, decisions, permissions, integrations, workflows, verified actions, outcomes and learning.
The problem
Organizations do not fail because they lack data.
They fail because important signals were disconnected, unnoticed or acted on too late. RUBI is designed to connect those signals before the consequences become expensive.
The complete RUBI loop
From signal to verified value.
The differentiation is not any single AI capability. It is the way awareness, context, consequence analysis, action, proof and measurable value operate as one system.
Signal
Awareness
Consequence
Prevention
Action
Proof
Value
Learning
36
capabilities compared
one by one, against the three leading assistants
24
exist only in Rubi
no equivalent in any consumer assistant today
20
sectors mapped
with the pressure, the action and where the money moves
0
actions without a grant
every privileged operation is authorized and recorded
RUBI Organizational Immune System
Your company has blind spots.
RUBI looks for them 24/7.
RUBI connects weak signals across your authorized systems, predicts what they may affect and helps prevent problems before they become expensive. RUBI combines persistent awareness, consequence analysis, authorized prevention, proof and value measurement into one operational intelligence layer.
RUBI Awareness
Authorized signals, deduplicated into one evolving finding.
RUBI Reality Graph
People, customers, vendors, contracts and what depends on what.
RUBI Consequence Engine
What it affects, when, and how large the exposure can become.
RUBI Proof & Value Ledger
Verified outcomes, and value only counted once measured.
New in RUBI
A complete operating system for AI agents
Build a specialist, train it on your operation, control every tool, test it before deployment and measure what it actually delivered — all under RUBI Central.
LIVE
RUBI Agent Society™
One governed registry for RUBI-native, external, Campusverse and deployed agents. Every task, handoff, budget, result and kill switch follows the same control plane.
LIVE
Agent Studio
Configure, train, equip, test, deploy and monitor specialized agents. Deployment remains locked until the latest readiness tests pass.
LIVE
Governed agent teams
Specialists work in sequence with explicit handoffs and hard limits for steps, time, cost and loops — then return one consolidated result.
LIVE
Trained operational context
Knowledge, examples, corrections, procedures and tool permissions feed the same agent across RUBI, widgets and the public API.
CONNECTION REQUIRED
Plug-and-play tools
Connect supported services or discover tools from an approved MCP endpoint. New tools start with conservative read, send and delete permissions.
BETA
Consequence & prevention
Signals can become consequence chains, preventive recommendations and governed tasks instead of disappearing inside isolated chats.
Proprietary product framework
The RUBI Intelligence Stack™
Nine recognizable technologies working as layers of one persistent architecture — not as disconnected applications.
LIVE
RUBI Awareness™
RUBI notices what matters.
Persistent evaluation of authorized signals across the organization.
BETA
RUBI Reality Graph™
RUBI understands how everything is connected.
A living temporal map of people, organizations, systems, decisions and outcomes.
BETA
RUBI Consequence Engine™
RUBI understands what happens next.
Direct, indirect and second-order effects with time, exposure and confidence.
BETA
RUBI Organizational Immune System™
AI that finds problems before they become problems.
Weak signals become a preventive, permission-controlled and verifiable response.
IN DEVELOPMENT
RUBI Attention Debt™
What nobody is watching can become expensive.
Measures unresolved attention by age, relevance, risk and economic exposure.
BETA
RUBI Assumption Expiry™
RUBI remembers why a decision was made.
Rechecks whether the assumptions behind important decisions still hold.
LIVE
RUBI Proof™
AI should not simply say done. It should prove it.
Links trigger, evidence, approval, action, before, after and verification.
BETA
RUBI Value Ledger™
Measure what AI actually creates.
Separates identified, approved and realized business value.
IN DEVELOPMENT
RUBI Resilience Twin™
Know what breaks before it breaks.
Models dependency failures, time to impact and recovery paths before disruption.
Persistent Operational Intelligence
Always-on agents are infrastructure. RUBI's differentiation begins above that layer.
Always-on execution is useful. But staying online is not intelligence. RUBI is designed to understand what all those continuous signals mean together.
- RUBI understands what signals mean
- RUBI understands what they affect
- RUBI understands what may happen next
- RUBI understands what should be prevented
- RUBI understands whether the action worked
- RUBI understands how much value was created
Deployment
Deploy RUBI your way
RUBI is designed to adapt intelligence to the organization's infrastructure rather than forcing every organization into one deployment model.
- RUBI CloudAVAILABLE
- RUBI HybridPLANNED
- RUBI Private CloudPLANNED
- RUBI EdgePLANNED
- RUBI On-PremisePLANNED
- RUBI SovereignIN DESIGN
Who Rubi is
Rubi is not a chatbot you visit. She is an assistant that lives inside your devices and your systems, with a durable memory of your facts, rules and decisions, eyes through your camera, a voice you can interrupt, access to the web, and the authority to actually do things: build, publish, monitor, repair, approve, escalate and report.
ChatGPT, Gemini, Claude, Copilot and Perplexity are strong in different areas, from conversation and research to work inside their ecosystems. RUBI is built for the layer above individual assistants and agents: cross-system operational context, centralized authority, coordinated specialists, consequence analysis, proof and verified value.
The advantage is not one model.
Foundation models can be accessed by many companies. The harder layer is building the context, permissions, memory, relationships, operational history, verification and learning that allow intelligence to operate continuously inside a real organization.
RUBI is designed as an integrated architecture for persistent operational intelligence. The differentiation is the combined system: persistent awareness, a living Reality Graph, decision and outcome memory, consequence reasoning, permission-controlled execution, Proof, Value Ledger and organizational learning.
Capability coverage
Scored directly from the matrix below — a full point for an included capability, half a point for a partial one.
RobLabs R.U.B.I.100% (36 of 36)
ChatGPT18% (6.5 of 36)
Gemini18% (6.5 of 36)
Claude13% (4.5 of 36)
The gap, in one line
Of the 36 capabilities examined, 24 are available in no consumer assistant at all. They are not conveniences — they are exactly the capabilities a company needs before it lets software touch anything that matters: acting on systems, approving and gating those actions, proving afterwards what happened, publishing and repairing what it built, and continuing to run when the human logs off.
A model can be rented by anyone in an afternoon. The layer above it — memory, permission, execution and proof — is what took RobLabs many months and many stages to build, and it is not reproduced simply by changing the underlying model.
Investor projection
Not the same road, only further ahead
The strongest general assistants are likely to become more capable, more multimodal and better at completing short chains of tasks. Rubi benefits from that progress because her reasoning layer can improve with the models. But Rubi is moving along a different axis: deeper into a specific person's or company's operation, with owned memory, explicit authority, private infrastructure, continuous duties and accountable execution.
The difference, in plain language
No technical background needed. One of these answers questions about the world; the other runs part of your company.
A general-purpose agent
ChatGPT · Gemini · Claude
Think of a brilliant advisor who works in a separate room. You can ask anything and get excellent answers — but the advisor cannot see your stock, your cash, your calendar, your cameras or your contracts, and cannot act on anything inside your company.
- Answers questions — does not operate your business
- Knows the world in general — not your company in particular
- Every conversation starts close to zero again
- Cannot touch real systems, money or devices
You ask they answer. The work is still yours.
Rubi — your own operator
RobLabs R.U.B.I.
Rubi is not an advisor in another room. She is an operator inside your company — connected to your systems, acting only with your permission, recording proof of everything she does, and remembering it all forever.
- Acts on your systems — with your explicit authorization
- Knows your people, rules, projects and history
- Every action makes her more valuable to you — it compounds
- Works while you sleep and proves afterwards what she did
You authorize Rubi acts records proof remembers improves.
Direction of travel
TodayNear termLong term
ChatGPT · Gemini · Claude
General-purpose intelligence
Conversation
Multimodal answers
General-purpose agents
Broader knowledge, richer media and more tasks — primarily through a general interface designed to serve everyone.
RobLabs R.U.B.I.
Owned operational intelligence
Personal assistant
Governed operator
Autonomous operating layer
Connected Rubi network
Deeper into one owner's world: durable memory, governed authority, private integrations, continuous work, physical devices and cooperation between Rubis.
Even when the models improve
A smarter model makes Rubi smarter too. It does not replace the customer's memory, permissions, integrations, devices, operating history or deployed agents. For a general assistant to become equivalent, its provider would need to move beyond a universal consumer service and assume the architecture, access controls, deployment burden and operational liability of a deeply embedded enterprise system. That is a category and business-model change — not a normal model upgrade.
Models are replaceable inputs
Rubi can adopt stronger intelligence without surrendering the operating layer.
Operations compound
Every approved action and outcome increases customer-specific value and switching cost.
What investors are underwriting
Accumulated operating context
Every approved action, company rule, person, project and outcome makes Rubi more specific to that operation. A new model starts with intelligence; it does not start with this history.
Authority, not just ability
Enterprise value comes from knowing exactly what Rubi may do, in which system, for how long and with whose approval. Model capability alone does not create trusted authority.
Infrastructure already connected
Private systems, local devices, cameras, workflows and deployed agents form a working network. Replacing the conversation model does not recreate those connections.
A measurable operating record
Monitoring runs, repairs, promises, approvals and signed receipts build evidence over time. The defensible asset is the record of reliable operation, not a collection of prompts.
Projection, not a claim of privileged knowledge: the competitor path is an informed strategic interpretation of publicly available consumer products as of September 2026. Those companies may change direction. The investment thesis is that matching Rubi would require recreating an operating architecture and customer-specific history, not merely releasing a more capable language model.
The detailed assistant comparison
This legacy consumer-assistant view remains for detail. For the current comparison — including Microsoft Copilot, Perplexity and agent platforms — use the 2026 market matrix.
Included Partial / limited Not available
| Rubi's Capability | ChatGPT | Gemini | Claude | RobLabs R.U.B.I. |
|---|---|---|---|---|
| Answers questions and writes text | Included | Included | Included | Does this too — and then keeps working after the answer. |
| Remembers you across sessions and devices | Partial / limited | Partial / limited | Partial / limited | Durable structured memory you own: facts, projects, decisions, rules — on every device you sign in on. |
| Remembers standing rules and obeys them forever | Partial / limited | Not available | Partial / limited | Explicit rules and knowledge areas you write once, visible and editable, applied to every reply. |
| Live voice you can interrupt | Included | Included | Partial / limited | Interruptible live voice inside your own app, on phone, desktop, TV and embedded devices. |
| Sees through your device camera | Partial / limited | Partial / limited | Not available | Camera vision routed into real operations: describe, read, identify — plus face biometry as a security gate. |
| Face recognition to authorize sensitive actions | Not available | Not available | Not available | Enrolled biometrics gate privileged operations. |
| Acts on your systems: reads data, runs actions, restarts, rolls back | Not available | Not available | Not available | Executes governed operations on connected systems, each behind an explicit grant. |
| Permission gateway with approvals and device binding | Not available | Not available | Not available | Grants with scope, expiry, environment and device binding; sensitive actions wait for approval. |
| Immutable audit trail of everything it did | Not available | Not available | Not available | Every action, approval and escalation recorded and queryable. |
| Builds a complete website or system and publishes it at a live address | Not available | Not available | Not available | Generates the pages, publishes them online, and hands you the address. |
| Monitors what it built and repairs it by itself | Not available | Not available | Not available | Scheduled health checks, uptime and speed tracking, automatic page repair. |
| Watches sites, topics and news for you while you are away | Partial / limited | Partial / limited | Not available | Standing monitors with change detection — she reports only what actually changed. |
| Works offline and syncs when the connection returns | Not available | Not available | Not available | Encrypted offline queue; nothing is lost without a signal. |
| Deploys inside your own product as a branded agent | Partial / limited | Partial / limited | Partial / limited | One step: agent API endpoint or embeddable widget, with her memory, tools and governance included — not a raw model you rebuild around. |
| Multi-tenant organizations with roles and segregation | Not available | Not available | Not available | Organizations, members, devices and roles with strict isolation per environment. |
| Runs under your brand, your domain, your rules | Not available | Not available | Not available | She is yours: name, voice, language, personality and multiple personas (Rubi Sun, Rubi Moon…) per user. |
| Answers with real, grounded data only | Partial / limited | Partial / limited | Partial / limited | Hard rules: authoritative clock and calendars, and only data from search, database or knowledge — otherwise she says she does not have it. |
| Keeps running when you close the tab | Not available | Not available | Not available | Monitoring, scheduled checks and approvals continue without you watching. |
| Warns about a physical hazard in front of you, on the device, with no internet | Not available | Not available | Not available | SmartEyes decides obstacles, steps and approaching objects locally — around twenty readings per second, under two milliseconds each — and speaks and vibrates before any cloud is consulted. |
| Builds a temporary 3D map of the space around you | Not available | Not available | Not available | Occupancy grid and free-space corridor anchored to your own movement, cleared the moment the session stops. |
| Models your company: departments, processes, systems, dependencies and numbers | Not available | Not available | Not available | A living company model she keeps updated from conversation, with the dependency graph between processes and metrics. |
| Learns what 'normal' is for your business and warns before it becomes a problem | Not available | Not available | Not available | Baselines per metric, continuous deviation detection, revenue and cost leakage, early-warning levels with the money at stake. |
| Refuses to give generic advice | Not available | Not available | Not available | Every recommendation carries the action, the target, the evidence, the owner, the timeframe, the financial impact and the KPI that proves it — checked automatically before it reaches you. |
| Speaks each language with a native voice, not an accent | Partial / limited | Partial / limited | Not available | The language of the answer selects a native voice profile; Portuguese is generated from Brazilian phonology, with numbers, money and dates spoken naturally and a pronunciation dictionary you can correct by voice. |
| Sends and reads email from her own address | Not available | Not available | Not available | Her own connected mailbox: she writes, sends, reads replies and follows the thread. |
| Listens to your meetings and coaches you live | Not available | Partial / limited | Not available | In-room or online: she follows the discussion, suggests the missing question and returns decisions and commitments. |
| Writes and tracks a commercial proposal end to end | Partial / limited | Partial / limited | Partial / limited | Scope, value and delivery in a shareable proposal with its own link, plus what happened after it was sent. |
| Correlates scattered signals into one business issue with its financial impact | Not available | Not available | Not available | Fifteen enterprise layers write into one shared record set: a supplier breach, the contract clause, the customers exposed and the revenue at stake become a single prioritized issue. |
| Separates fact, inference, hypothesis and prediction in every conclusion | Not available | Not available | Not available | Each claim carries its source, its timestamp and its confidence — a hypothesis is never presented as a fact. |
| Reads contracts and watches every deadline, obligation and penalty | Partial / limited | Partial / limited | Partial / limited | Parties, value, obligations, service levels and termination windows become monitored data, with the clause linked to the alert. |
| Finds revenue leaking and drives the recovery to a verified result | Not available | Not available | Not available | Uncontacted leads, failed payments, ownerless renewals and silent customers, each with the money at stake and the recovery action. |
| Shows how the company actually operates, not how the manual says it does | Not available | Not available | Not available | Real process paths rebuilt from authorized events, with bottlenecks, rework and the cost of each delay. |
| Governs every AI agent running inside the company | Not available | Not available | Not available | A registry with owner, model, permissions, autonomy and cost — unmanaged agents are flagged and can be quarantined. |
| Holds sensitive actions for human approval, with evidence attached | Not available | Not available | Not available | Every enterprise action is classified from read-only to critical; critical ones cannot run without an explicit authorization, and every decision is recorded. |
| Proves the value it created instead of claiming it | Not available | Not available | Not available | An impact ledger separating identified, approved and realized value — realized only counts after the outcome is verified against your own numbers. |
| Blocks work that would break your data residency or sovereignty policy | Not available | Not available | Not available | Deployment mode, allowed providers, regions, internet and export rules are enforced by the system, and a blocked task is explained, never silently rerouted. |
Comparison based on the leading public consumer AI products. Marks describe what a signed-in user gets out of the box, without building custom software.
Rubi vs. a chat assistant
The honest comparison, point by point. The right column is what Rubi does today; the middle column is what a chat interface is, by design.
| ChatGPT, Gemini, Claude | RobLabs R.U.B.I. | |
|---|---|---|
| What it is | A chat window. You open it, ask, copy the answer out and paste it somewhere else. | An operating layer that lives inside your systems, with its own memory, permissions, devices and audit trail. |
| Memory | Remembers loosely inside one product, in one account, and forgets when the thread or the session ends. | A durable, structured memory you control: facts, projects, decisions, rules and knowledge areas, shared across every device you sign in on. |
| Acting on your systems | Produces text. It cannot log into your platform, read your database, restart a service or publish anything. | Executes governed actions on connected systems: reads telemetry and logs, runs runbooks, restarts services, rolls back releases, each one behind an explicit grant. |
| Building and publishing | Writes code you then have to host, deploy and maintain yourself. | Designs a site or internal system, publishes it at a live address, monitors uptime and speed, and repairs the broken page by herself. |
| Watching the world for you | Answers only when you ask. Nothing happens while you sleep. | Runs on a schedule: follows sites, topics, competitors, releases and system health, and reports only what actually changed. |
| Eyes and voice | Text with optional voice, inside their app, on their terms. | Live voice you can interrupt, a camera she sees through, face recognition as a gate for sensitive operations, on phone, desktop, TV or embedded device. |
| Offline | No connection, no assistant. | Keeps working on the device with an encrypted queue that syncs when the connection returns. |
| Governance | You trust the vendor's policy. There is no per-action approval, no environment separation, no audit log you own. | Roles, per-capability grants, staging versus production, expiring access, device binding, human approval for high-risk actions and an immutable audit trail. |
| Where it runs | Their cloud, their account, their model, their retention. | Your deployment, your domain, your database, multi-tenant or private, embeddable in any third-party product as an API agent or widget. |
| Grounding | Confidently invents dates, numbers and status when it does not know. | Bound to real data: an authoritative clock across time zones and calendars, and a rule that a number, status or news item must come from a live check, the database or stored knowledge, or she says she does not have it. |
Voice & text
Talk or type, with barge-in so you can interrupt at any time.
Proposals that close
She researches the client, writes scope and pricing, sends it, sees when it is opened, follows up and learns from every win and loss.
Visual intelligence
Point the camera and ask — descriptions, object identification, text and document scanning.
Persistent memory
Rules, memories and knowledge that follow you across devices.
Works offline
On-device analysis with an encrypted queue that syncs when you reconnect.
Permission gated
Every privileged action is authorized, indicated and audited.
Web search & browsing
Searches Google/Bing/DuckDuckGo and visits public sites to bring live answers.
Monitoring
Follows sites, news and events, alerting you when something relevant changes.
Deploy as agent
Export Rubi as an API agent or embeddable widget for external apps and systems.
Calendar integration
Reads and creates events through your OAuth-connected calendar.
Biometry & face
Face recognition and biometric gates for sensitive operations.
Live brain
Real-time 3D neural mesh showing what Rubi knows and how it is thinking.
Master Check
One button runs diagnostics on every connection, device and permission.
Email accounts
Keeps encrypted email credentials to read and act on your messages.
System repair
Self-diagnoses and repairs the systems she builds and operates, page by page and service by service.
Multilingual
Speaks and understands many languages, with Brazilian Portuguese voice as default.
Verifiable answer receipts
Any answer can be sealed into a signed public receipt. Anyone opens the link and sees the exact answer, its evidence and the moment it was issued — and whether a single character was changed.
Works with the app closed
Give her a task and close the app. She finishes it on the server and calls your phone with a notification and an email the moment it is done.
Scheduled camera watch
Authorized windows where she opens the camera herself, watches the place and emails descriptions and photos of any movement.
Promises she keeps alone
She commits to a recurring duty and executes it on a clock with nobody online, recording every run as kept or failed. Her reliability is measured, not claimed.
How she is built, layer by layer
A chat assistant is the first layer of this diagram and nothing else. Everything below it is what turns an answer into an operation — and it is the part that takes years, not prompts, to build.
Layer 1
Surfaces
Phone, desktop, tablet, TV, Android app and embedded devices — plus her agent API and widget inside someone else's product.
Voice you can interruptTextCameraEmbedded agent
Layer 2
Reasoning
A pluggable intelligence layer. Providers can be swapped without touching anything below, so the product never depends on one vendor.
Model independentTool callingGrounded answers only
Layer 3
Memory & knowledge
Durable, structured and owned by the customer: facts, people, projects, decisions, standing rules and knowledge areas that survive every session.
Facts & peopleStanding rulesProjectsRelationship graph
Layer 4
Governance
Roles, per-capability grants with scope and expiry, environment separation, device binding, biometric gates and human approval on high-risk actions.
GrantsApprovalsBiometryImmutable audit
Layer 5
Execution
The part nobody else has: she builds, publishes, monitors, repairs, escalates and reports on real systems — and keeps doing it after you close the tab.
Build & publishMonitor & repairRunbooksScheduled duties
Layer 6
Resilience
An encrypted on-device queue keeps her working with no signal, syncing everything the moment the connection returns.
Offline queueEncrypted syncDiagnostics
A day inside your operation
Not a demo script — the ordinary rhythm of an assistant that has a place in the business rather than a tab in the browser.
06:40
Overnight report
She already ran the scheduled checks: the pages she watches, the services she monitors, the topics you assigned. You get only what actually changed.
08:15
Voice in the car
You talk, she answers and acts — creating calendar events, writing follow-ups, opening a monitor on a competitor you just heard about.
10:30
Eyes on the problem
You point the camera at a machine, a lab result or a contract. She reads it, compares it with what she knows about your operation and answers out loud.
13:00
Builds and publishes
From one line of brief she plans a site, asks a few sharp questions, shows you a preview, and publishes it at a live address once you approve.
16:20
A service goes down
She reads the telemetry, identifies the failure, repairs or rolls back through the authorized channel, and leaves the approval and the audit record attached.
21:00
Still working
You close everything. Her monitors, scheduled duties and promises keep running, and every run is recorded as kept or failed.
Six things that exist nowhere else together
Any one of these could be argued about in isolation. The point is the combination: they only create value when they are the same assistant, sharing the same memory, the same permissions and the same record of what happened.
Memory that belongs to you
Not a vendor feature that quietly forgets. Structured facts, rules, people, projects and decisions stored in your own database, visible, editable and portable.
Permission to act, with a gate on it
Grants with scope, expiry, environment and device binding; biometric and human approval on the dangerous ones. An assistant with power and a brake — the combination is the hard part.
She ships and then keeps the thing alive
Building a site is common. Publishing it, watching its uptime and speed, detecting the broken page and repairing it without being asked is not.
Time keeps passing when you leave
Monitors, scheduled duties and standing promises execute on a clock with nobody online, and every run is logged as kept or failed. Reliability measured, not claimed.
No signal is not an excuse
She keeps capturing, analysing and queueing encrypted work offline, then syncs on reconnect. Every chat assistant is a blank screen without internet.
Proof you can hand to an auditor
Immutable action history plus sealed public receipts: anyone opens the link and sees the exact answer, its evidence, the moment it was issued and whether a character changed.
Ask a chat assistant to do this
Every line below is a request Rubi answers by doing the work. Paste the same sentence into any chat assistant and you get a description of how you could do it yourself.
“Watch a regulator page and warn me before it hurts us”
Rubi checks the pages and topics you assign on a schedule, compares against the last version, and reports only the real change with the facts, dates and numbers. A chat assistant only answers the moment you ask.
“Build the client portal and put it online tonight”
From a written brief she designs the pages, writes the content, publishes it at a live address, then monitors speed, availability and errors and fixes the broken page. Drafts publish themselves; production waits for your approval.
“Our service is down. Look at it and fix it”
She reads the telemetry and the logs of the connected system, identifies the failure, and restarts or rolls it back through the authorized channel, with the approval and the audit record attached.
“Look at this and tell me what is wrong”
Point the camera at a machine, a document, a lab result or a shelf. She sees it, reads the text, compares it against what she knows about your operation and answers by voice while you keep your hands busy.
“Remember how we decided this, forever”
Facts, projects, people, preferences and decisions are stored as durable memory and applied automatically in every later conversation, on every device you own.
“Put yourself inside our product for our customers”
The same assistant ships as an API agent or an embeddable widget inside someone else's system, with its own key, scoped permissions and message history.
“Answer the night shift while I sleep”
Multiple named assistants, each with its own voice, language, personality and allowed capabilities, sharing one knowledge base but keeping separate conversations.
“Work where there is no signal”
In a lab, a basement or a field site she keeps capturing, analyzing and queueing encrypted work, then syncs the moment the connection returns.
Rubi for companies & infrastructure
The same assistant that works on your phone scales to teams, departments and critical systems. Rubi becomes an enterprise-grade operating layer with governance, segregation and observability built in from the start.
32 enterprise capabilities4 operating domains0 actions without an authorization record
Governance, security & trust
Multi-tenant organizations
Separate teams, departments, subsidiaries or clients with isolated data, policies and budgets under one deployment. A holding company runs every operating unit side by side without one ever reading another.
Built in. Organizations, members and per-organization roles are already in the data model.
Role-based access control
Owner, admin, operator and viewer roles, per system, per environment and per device. Nobody holds more access than the job needs, and every role sits in its own table so access can never be edited through a profile screen.
Built in. Roles are stored apart from user data to reduce privilege-escalation risk and support auditable access control.
Time-boxed operational grants
Access to a production system can be granted for a window — four hours, one shift, one incident — and expires by itself. No forgotten credentials left active after the contractor leaves.
Built in. Grants carry scope, environment and an expiry the system enforces on every request.
Permission & action gateway
Anything that touches money, production or personal data stops at a gate: explicit grant, device binding, supervisor approval, and a stated reason. The assistant never acts because it assumed it could.
Built in. Approvals are persisted with who asked, who decided, when and why.
Compliance & retention
Immutable audit trails, per-category retention rules and deletion schedules built for regulated work — health, finance, public sector, defence procurement.
Built in. Retention policies are configurable per data category, not global.
Verifiable answer receipts
Any answer, report or decision can be sealed into a signed receipt. An auditor opens the link and sees the exact text, its evidence and the moment it was issued — and whether one character was changed since.
Built in. Receipts are cryptographically sealed, not just logged.
Biometric authorization
High-risk operations can require a face present at the terminal, not just a password someone shared. Enrollment, matching and every attempt are recorded against the person.
Built in. Face templates, match events and camera authorizations are separate, owner-scoped records.
Secrets never leave the vault
Every credential for every connected system is encrypted server-side and never returns to a browser, a log or a model prompt. Staff can operate a system they are not able to extract the keys for.
Built in. Credentials are AES-encrypted at rest and only decrypted inside the server call that uses them.
Deployment, integration & reach
Private or hybrid deployment
Run it behind your firewall, in your own cloud account, or as a managed instance on your domains. Data residency is a configuration, not a negotiation.
Built in. The operating layer, the local bridge and the mobile build are separable pieces.
Enterprise data integration
ERPs, CRMs, databases, ticketing, file stores, lab and campus systems through encrypted, scoped connectors — read-only until you widen it.
Built in. Each integration carries its own credentials, scope and health history.
Legacy system bridges
A thirty-year-old platform nobody wants to replace gets a conversational layer that reads it, writes to it and orchestrates it. The modernization budget buys an interface instead of a rewrite.
Built in. Systems are reached over their own APIs and probed for reachability before any action.
On-premise network bridge
A small agent on your network discovers cameras, controllers, appliances and devices, and executes queued commands locally. The cloud layer never needs a hole in your firewall.
Built in. The bridge authenticates with a rotatable key and only pulls work it is allowed to run.
Deployable subordinate agents
Spin up a named assistant for a site, a department or a client, with its own mission, its own allowed sources and its own API key — embedded on a page or called from your own software.
Built in. Each deployment gets a one-time live key, an embed snippet and a scoped tool set.
Fleet of devices, one brain
Phones, tablets, desks, kiosks and vehicles run the same assistant with the same memory. A technician continues on the truck exactly where the planner stopped at the office.
Built in. Device registrations and per-device instances share one memory layer.
Works without connectivity
Offline packs, encrypted local queues and deferred execution. Mines, plants, aircraft, ships and field sites keep operating and reconcile the moment a link returns.
Built in. Queued work is encrypted locally and replayed in order once online.
Builds and repairs its own surfaces
It designs, publishes and then monitors the public sites and panels a company needs, repairing what breaks without a ticket in a backlog.
Built in. Published pages are checked, measured and fixed by the same assistant that made them.
Operations, reliability & cost
Infrastructure monitoring
Watches APIs, services, queues, pages and endpoints continuously and tells the right person before customers notice — in plain language, with what changed.
Built in. Monitors run on a schedule and store every finding with its evidence.
Incident command
When something breaks it opens the incident, classifies the root cause, attempts the safe remediations it is allowed to attempt and escalates the rest with a written handover.
Built in. Incidents, action runs and their outcomes are separate audited records.
Runbooks & automation
Standard operating procedures become repeatable, auditable automations: month-end close, onboarding, shift handover, supplier checks, licence renewals.
Built in. Every automated run records who authorized it and what it changed.
Measured before and after
It records the state before it acts and the state after, so an improvement is a number your CFO can check — not a claim in a slide.
Built in. Speed and health checks are stored as timestamped measurements.
Standing commitments
It promises a recurring duty and executes it on a clock with nobody online, marking every run kept or failed. Reliability becomes a metric instead of a feeling.
Built in. Commitment runs are logged individually, successes and misses alike.
Assistant-to-assistant coordination
Your assistant talks to the assistant of a supplier, a client or a colleague: exchanges information and negotiates meeting times between two calendars, without either person in the loop.
Built in. Connections, messages and meetings between assistants are consented and recorded.
Mailboxes, calendars and documents
Reads and acts on company email, agendas and files — drafts the reply, books the slot, chases the missing signature, flags what actually needs a human.
Built in. Connected accounts are per-user and scoped to what the owner approved.
Cost and latency control
Heavy reasoning is used where it pays and light models handle the rest, so a large deployment does not scale its bill linearly with its usage.
Built in. Effort level is selected per task, not fixed per deployment.
Intelligence that compounds
Institutional memory
Decisions, people, suppliers, prices, disputes and reasons are kept as durable facts with history — so the company stops losing its context every time someone leaves.
Built in. Memories carry revisions, so you can see what a fact used to be and when it changed.
Relationship graph
It links people to companies, contracts, sites and events, so a question like 'who connects this supplier to that delay' has an answer instead of a meeting.
Built in. Entities and edges are stored as a queryable graph, not as free text.
Visual intelligence
Cameras, phones and uploaded frames become an input: reads panels, meters, labels, shelves, plates, documents and damage, and files what it saw.
Built in. Frames, analyses and sessions are retained under the owner's retention rules.
Market and competitor watch
Tracks competitors, tenders, regulation and prices in the open web continuously, and reports only the change that matters to your position.
Built in. Findings are timestamped against the source they came from.
Operating simulations
Before touching a live process it can run the operation as a simulation — incidents, decisions, approvals and outcomes — so leadership sees the behaviour before the risk.
Built in. Simulated runs are labelled as simulations everywhere they appear.
Board-ready reporting
Usage, decisions, approvals, incidents and savings assembled into the report a security review, an auditor or an investment committee asks for.
Built in. Reports are generated from the same records the auditor can inspect.
Training your people
The same layer teaches: onboarding, languages, compliance, clinical and technical material, adapted to each employee and tracked.
Built in. Course progress belongs to the person and follows them across devices.
It extends itself
New integrations, new monitors, new agents and new surfaces are added by asking for them in a sentence — the operating layer grows without a development cycle.
Built in. A deploy assistant plans the integration and provisions it end to end.
Enterprise Intelligence: the operating layer of the organization
Rubi is not a dashboard that reports numbers. She continuously watches what is happening inside the company, explains why it is happening, connects scattered signals into one business issue, estimates the money involved, ranks what deserves attention today, recommends the action, runs what she is allowed to run, holds the rest for your approval and only counts value as realized once the result is verified. Fifteen specialized layers read and write the same company records, so contracts, revenue, suppliers, processes, customers and security are never separate stories.
15 intelligence layers1 shared company brain0 critical actions without approval
Revenue Intelligence
Continuously detect where money is being lost and where it can be recovered: uncontacted leads, abandoned proposals, failed payments, overdue invoices, renewals without an owner, discounting and inactivity.
Reports. Recoverable revenue
Process Intelligence
Reconstruct the real process paths from authorized system events, expose bottlenecks, rework, waiting, loops and SLA breaches, and quantify the delay each step contributes.
Reports. Cycle time vs. official
Contract Intelligence
Extract parties, dates, value, obligations, SLA, penalties and termination windows from contracts, monitor deadlines and obligations continuously and detect commercial leakage.
Reports. Deadlines and exposure
Procurement & Spend
Analyse spend by category and supplier, detect duplicate vendors and invoices, price variance, off-contract purchasing and concentration, and prepare negotiations with real leverage.
Reports. Identified savings
Customer 360
Combine authorized sales, meetings, support, contracts, billing and complaints into one customer view with an explainable churn signal set and a next best action.
Reports. Customers needing attention
Vendor & Third-Party Risk
Model suppliers, their criticality, data access, SLA and alternatives, detect deterioration and concentration, and simulate the impact of a third-party failure.
Reports. Elevated vendor risks
Agent Control Plane
Maintain the registry of AI agents — owner, model, permissions, data sources, autonomy, cost and activity — detect unmanaged agents and control them through explicit governance actions.
Reports. Agents and risk exposure
Cyber Defense
Correlate authorized identity, cloud, endpoint, application and network signals into single incidents, determine scope and business impact, and prepare or execute authorized remediation.
Reports. Security posture
Regulatory Radar
Monitor approved authoritative sources for the organization's jurisdictions and activities, map each change to the affected process, document and evidence, and produce a compliance action plan.
Reports. Changes and deadlines
Data Guardian
Catalogue authorized data assets with owner, sensitivity, retention and access, trace lineage back to the source of a number, and warn when sensitive data moves to an unauthorized destination.
Reports. Sensitive assets and exposure
Enterprise Knowledge Graph
Hold people, customers, vendors, contracts, systems, processes, decisions and incidents as connected entities so Rubi can answer why a decision was made and what it affected.
Reports. Entities and relationships
Digital Twin Enterprise
Keep an operational model of capacity, constraints, dependencies, cost and demand so scenarios can be simulated with explicit assumptions rather than guessed.
Reports. Constraints and scenarios
Crisis Command
Run an incident with status, severity, confirmed facts, open unknowns, affected areas, roles, the next fifteen minutes, situation reports and a structured recovery review.
Reports. Active crisis state
M&A / Due Diligence
Structure diligence areas, ingest the data room, track answered and unanswered questions, reconcile financial claims against evidence and produce committee-ready output.
Reports. Open questions and risks
Private / Sovereign Mode
Define deployment mode, allowed providers, regions, residency, internet and export policy, route every task through those rules and block anything that would violate them.
Reports. Deployment and policy
What Rubi does, industry by industry
Three things decide whether an assistant earns money inside a business: it has to hold the company's whole context in durable memory, reason through a problem in steps before it answers, and actually act on the systems where the money moves. Rubi does all three, which is why these sectors are addressable and a chat window is not.
Bitcoin mining & compute farms
The pressure. ASIC efficiency, hashprice swings, spot energy cost and predictive maintenance across thousands of boards.
What Rubi does. Watches pool APIs, machine sensors and energy prices continuously, and decides on her own whether to throttle, curtail during peak tariffs, or re-point hashpower to the algorithm paying best right now — every switch logged and reversible.
Where the money moves. Avoids burned hardware, buys power on the cheap side of the curve and arbitrages where compute earns most, hour by hour.
Online casinos & betting platforms
The pressure. Real-time fraud and bonus abuse, live odds pricing and keeping high-value players from walking away.
What Rubi does. Correlates clicks, session time and bet history into a behavioural read of each account, flags laundering and bot patterns as they form, and triggers a tailored retention offer sized to that player's risk profile before they churn.
Where the money moves. Cuts card and fake-account fraud losses, absorbs first-line support instantly and grows the lifetime value of legitimate players.
Payment gateways, acquirers & fintechs
The pressure. Millisecond transactional risk, central-bank and scheme compliance, and merchants integrating APIs.
What Rubi does. Acts as the support and compliance brain: walks partner developers through the integration in their own language and code, while auditing global fraud patterns that static rule engines let through.
Where the money moves. Lowers chargeback ratios, frees senior engineers from B2B support and shortens merchant onboarding, so revenue starts earlier.
Real-estate developers & builders
The pressure. Land feasibility, volatile input costs, post-sale inspections and precision launch marketing.
What Rubi does. Cross-reads city master plans with local market data before a plot is bought, keeps steel and cement price movements on watch, and runs inspection scheduling and balloon-instalment renegotiation autonomously.
Where the money moves. Stops multi-million bets on weak locations, reduces default and friction at mortgage handover and produces sharply qualified leads.
Restaurants, dark kitchens & food groups
The pressure. Menu engineering against floating input costs, perishables forecasting and direct WhatsApp service.
What Rubi does. Reads incoming invoices, recalculates food cost per dish in real time and tells the manager exactly which plates to reprice or which supplier to swap — while selling consultatively on the restaurant's own channel.
Where the money moves. Keeps customers off high-fee marketplaces, drives waste towards zero and lifts average ticket with suggestions that actually fit the order.
Creator agencies & influencer management
The pressure. Real engagement versus bots, matching creators to brands and answering inbound brand mail at volume.
What Rubi does. Reads the audience behind the numbers in seconds, assembles a defensible media kit, and filters, prices and drafts brand proposals as they arrive in the inbox.
Where the money moves. Closes more campaigns per week, protects creators from one-sided contract clauses and removes days of manual commercial work.
Public tender & government bidding
The pressure. Daily official-gazette sweeps, dense tender documents full of legal traps and heavy documentation.
What Rubi does. Monitors procurement portals every day, matches openings to real stock and capacity, issues a 'risks and traps in this tender' report and assembles the paperwork and price proposal without omissions.
Where the money moves. Removes the certificate and formality errors that disqualify bids, multiplies how many tenders can run in parallel and maps rival bidding history.
Corporate law & compliance
The pressure. Thousands of pages of contracts, case law and regulatory audits in M&A work.
What Rubi does. Cross-reads contract sets in seconds, surfaces hidden clauses and exposure, weighs precedent from prior rulings and drafts filings that hold up conceptually — with every source cited.
Where the money moves. Collapses junior research time, shields the client from regulatory fines and lets the same team serve more matters.
Private clinics, labs & diagnostics
The pressure. Patient triage, structured clinical histories for the physician and world literature review.
What Rubi does. Listens to and summarises the consultation, reads prior lab results for inflammatory or hormonal trends forming early, and presents grounded diagnostic hypotheses the physician confirms — and she already speaks Pathway360 and 360 RobGenes.
Where the money moves. Removes hours of chart paperwork daily, raises patient throughput and makes preventive follow-up genuinely personal.
M&A advisory & venture capital
The pressure. Deep due diligence, dense financial statements and market multiple projections.
What Rubi does. Reads whole data rooms, pulls out hidden tax and labour liabilities, and produces valuations that move with the current macro picture — in minutes, with the evidence attached.
Where the money moves. Shortens deal cycles from months to days, keeps skeletons out of the portfolio and widens how many deals a desk can evaluate.
Fintechs & wealth management
The pressure. Dynamic allocation, portfolio rebalancing at scale and suitability obligations.
What Rubi does. Runs as the automated investment brain: builds strategies around each client's exact risk profile and live market news, and moves positions the moment a geopolitical shock lands — inside the mandate and fully logged.
Where the money moves. Scales wealth management to thousands of clients without new analysts and protects capital at machine response time.
Performance marketing agencies
The pressure. Hundreds of ad variations, constant campaign analysis and bid tuning across networks.
What Rubi does. Reads live behaviour data, identifies which channel is burning budget right now and rewrites the weak ads herself, based on what is converting this hour.
Where the money moves. Stops spend on ads that do not sell, multiplies return on ad spend and makes performance-based pricing viable for the agency.
Logistics, fleets & supply chain
The pressure. Routing, fuel price swings and customs or port disruption anywhere in the world.
What Rubi does. Redirects fleets and containers on her own by crossing weather, global news and road restrictions, recalculating customs cost on the spot.
Where the money moves. Saves fuel and demurrage, uses warehouse space better and keeps fleets from sitting idle.
Manufacturing & industrial plants
The pressure. Predictive maintenance, massive technical manuals and component quality control.
What Rubi does. Diagnoses root cause by crossing live sensor data with the plant's own engineering manuals, then walks the technician through the fix step by step — with her camera watching the machine as they work.
Where the money moves. Prevents the unplanned line stops that cost tens of thousands per hour and extends the life of expensive assets.
Software & SaaS engineering
The pressure. Clean architecture, documentation, legacy refactoring and proactive vulnerability detection.
What Rubi does. Understands the repository and the cloud around it, not isolated snippets: she builds and publishes services, hunts and fixes security flaws, and repairs the systems she created — by herself.
Where the money moves. Halves time-to-market for releases and critical patches, reduces hiring for operational development work and heads off breaches.
EdTech & large-scale digital education
The pressure. Unbiased essay grading, 24/7 pedagogical support and personalised paths against dropout.
What Rubi does. Tutors each student with real academic depth and endless patience, adapting tone and exercises to the specific difficulty she detects in real time — and remembering that student between sessions.
Where the money moves. Drives dropout down, scales enrolment without inflating faculty and opens premium tutoring as a new revenue line.
Executive search & high-volume HR
The pressure. Screening thousands of profiles, contextual first interviews and verifying technical fit.
What Rubi does. Runs fluent voice or text screening, reads the candidate's portfolio, code or sales history, and probes the real edges of their technical knowledge instead of ticking keywords.
Where the money moves. Compresses hiring cycles from weeks to days and avoids the cost of a bad hire in a strategic seat.
Hotels, resorts & cruise lines
The pressure. Dynamic room and cabin pricing, plus thousands of simultaneous guest requests.
What Rubi does. Adjusts rates minute by minute against flight capacity, holidays, weather and competitor pricing, while serving as the concierge that resolves room service, tours and spa bookings inside the property's own system.
Where the money moves. Maximises revenue per available room, clears front-desk bottlenecks and earns the organic reviews that bring the next guests.
Games, VFX & interactive entertainment
The pressure. Branching narrative, believable NPC behaviour and documenting enormous fictional worlds.
What Rubi does. Holds the logical consistency of a huge world in durable memory, so characters converse, react and remember what the player did — and she can be embedded straight into the product as an agent.
Where the money moves. Cuts writing and development time sharply and keeps players engaged long after launch.
Global insurers
The pressure. Urgent claims, organised fraud rings and actuarial recalculation.
What Rubi does. Looks at photos, camera footage, expert reports and documents together, clears honest claims in minutes and routes to human audit the cases whose geography or timeline quietly does not add up.
Where the money moves. Blocks sophisticated fraud that rule-based systems pass, while building a reputation for speed with legitimate customers.
The hard questions
The objections a serious buyer or investor raises first, answered without marketing.
+ − Is this a wrapper around a chat model?
The model is the smallest, most replaceable part. What the customer buys is the memory, the permission gateway, the integrations, the execution and the audit trail — none of which come from a model provider. Swap the provider and the product keeps working unchanged.
+ − Why can a chat assistant not just add these features?
Because they are not features, they are an architecture: a database the customer owns, a per-action authorization model, environment separation, device binding, a scheduler that runs without a user, and connections into systems nobody else is allowed to touch. That is a different product with a different liability profile.
+ − How is my data protected?
Data is isolated per account, encrypted in transit and at rest, and credentials live in an encrypted server-side vault that never reaches the browser. Sensitive actions require authorization and leave an audit record. The data belongs to the owner, and it is never sold or shared.
+ − What if she does not know something?
She says so. She is bound to real data: an authoritative clock, live checks, the database or stored knowledge. Inventing a number, a status or a date is prohibited by a standing rule, not left to chance.
+ − Can she run under our brand and our domain?
Yes. Name, voice, language, personality and multiple personas per user, on your domain, in your deployment, embeddable into a third-party product as an API agent or widget.
+ − How long did this take to build?
Development started in 2025 at RobLabs and ran for many months across several stages. Reproducing the equivalent today means many thousands of hours of specialised work — and no AI is capable of developing a system like her.
Why Rubi is an investable asset
The model layer is a commodity that every competitor rents from the same handful of providers. What is scarce is everything around it: memory that belongs to the customer, permission to act, connections into real systems, and proof of what was done. That is the product.
Owns the customer's operational context
Memory, rules, permissions, devices, integrations and audit history accumulate inside the deployment. That context is the moat: the longer she runs, the more expensive she is to replace.
Sells where chat assistants cannot go
Regulated and operational environments need approvals, environment separation, retention rules and an audit trail. Those are built in, not bolted on.
One platform, many revenue surfaces
Per-seat assistants, per-organization enterprise deployments, embedded agents inside third-party products, and site and system building with monitoring attached.
Model independent
The intelligence layer is pluggable. Providers can change without touching the memory, the governance, the integrations or the customer's workflows.
Already running in production
Voice, vision, memory, monitoring, governed operations, publishing and Android delivery are shipped and in daily use, not a roadmap.
Deploys into legacy systems
Hospitals, labs, campuses and industrial platforms get a conversational operating layer without replacing the software they already paid for.