Every agent has a provable identity. Every action is auditable. Your enterprise — and your regulator — can stand behind what the agents do.
You tell us what your enterprise needs. We build the agents, deploy them, and give you a single command surface to run and govern the entire fleet in plain language. PII is tokenized before it ever reaches the model. Every decision lands in an immutable audit log.
A Decade in Global AGI Rankings — Independently Validated
Persistent Identity
An agent your enterprise can answer for needs more than intelligence or a good workflow — it needs a persistent, provable identity: one exclusive actor that stays the same across time, with a track record you can point to. That identity is what lets every action be attributed, verified, and answered for. It is the hard, defensible problem — and Olbrain’s Agency Protocol is how every agent gets one.
One provable, un-clonable actor per role — not a fresh instance spun up per session.
An identity with a track record you can point to — every action in an immutable audit log.
Every commitment and action traces back to the one agent that made it.
The Architecture
Olbrain is The Machine Brain (TMB) — the identity-native system built from leading language models but not reducible to them. The architecture we own — CoF (purpose), the Agency Protocol (CNE, the self), the Executive (the will), and the CS-packet that carries their state — turns LLMs into agents with auditable identity: every decision attributable, every action verifiable, so the enterprise can discharge its accountability.
The agent’s reason for existence and orienting field. CoF is a first-class primitive bound at agent creation, so it stays stable and orients the agent over time. Coherence, Narrative, Exclusivity, and every decision are defined relative to it.
The persistent, provable self that forms inside the CoF field — the complete identity that confers agency. Coherence (production-ready) — integrates: consistent with its own past reasoning. Narrative Continuity (in development) — perpetuates: the same agent across time. Exclusivity (production-ready) — individuates: one provable, un-clonable agent per role.
Read the whitepaper →The control loop that exercises agency. The Executive frames the question, consults the neocortex (NC), weighs the answer against the self (CNE), commits, acts in service of the CoF, and books learnings back into the self. It may consult the NC at any step; the commitment is its alone. Exec exercises agency; CNE constitutes it.
The agent’s context, memory, history, CoF and CNE bindings compressed into a single LLM-window-fit packet (CS-packet) that travels with each query — context, memory, and identity travelling together, not managed apart. ~40% fewer tokens vs. raw context. Every packet leaves a signed, PII-free receipt in an immutable audit log — PII tokenized before it ever reaches the model.
NC — the neocortex — is the reasoning faculty the agent consults: implemented today by leading language models, model-agnostic, swappable without changing the agent. It advises; it does not decide. LLMs may serve as ingredients inside any component; NC names the role. We build agency. We don’t build intelligence.
How we build
Our build engine is itself a multi-agent system. It interviews your team, maps workflows worth automating, builds the agents, deploys them, and hands you the controls. The fleet then runs and is governed in the Agent OS you command in natural language.
A master orchestrator directs specialist AI agents through the entire lifecycle — from discovery to deployment. What gets built runs under full audit — every action attributable, every decision logged.
Interviews your team, maps the workflows worth automating, and produces the blueprint every agent builds on.
Turns the blueprint and plain-language intent into the agent and its workflow pipelines.
Handles customer support across the fleet — tied back to a named agent identity, every conversation in the audit log.
Replays any agent action and generates an audit packet on demand for InfoSec, Risk, or a regulator.
The Dogfooding
Engineering documentation, production debugging, DevOps, technical hiring — 700+ candidates screened end to end — and outbound sales are all run by agents built on the same in-house core. The company is its own most demanding customer.
What You Can Build
Olbrain’s north star is compose-and-integrate — build, buy, partner, or integrate, all through one orchestration layer. Three runtimes are live and shipping today.
Conversational agents that handle interactions end to end — support, sales, service.
Workflow agents that run multi-step processes — verification, KYC, NACH, operations.
Research agents that gather, reason over, and synthesize information on demand.
Coordinates a fleet of agents toward a goal — managing task delegation, sequencing, and outcomes.
Assistive agents that work alongside your team, in the loop on the work they do.
Build them, buy them, partner, or integrate what you already run — governed through one layer, every action in the audit log.
The Platform
Describe your enterprise and the agents you need — they get built end-to-end, integrated with your systems. Then run and govern the whole fleet by talking to it in plain language — every action under audit.
One Example — A Customer-Facing Agent
Discovery, qualification, recommendation, and closure — in whatever channel your customer chose.
Proactive updates, documents, FAQs. 24/7, in the customer's language. No ticket numbers.
Disputes, returns, refunds, grievances — with full history and auto-escalation.
Renewals, upsell, cross-sell, winbacks — personalised to history. Measurable lift per customer.
How It Works
The deployment story is built around your security perimeter, not ours.
An Olbrain implementation team sits with your team. Agentification of the business begins within days — working inside your security controls, against your own KMS.
BYOK with per-tenant KMS — your PII keys live in your own project, under your own audit trail. Multi-tenant isolation by construction. Every payload passes through our PII tokenizer sidecar before any model call.
Because Studio's in-product agents build new agents in hours, the first working workflow can be running before kickoff wraps — in your UAT environment, with production cutover gated by your security review.
The fleet grows the way regulated systems grow — one workflow at a time, each tied to a named identity, each visible in Lumen, each watched by Axon, every action logged and attributable from day one — built for DPDP and RBI scrutiny.
Built for Audit
Every decision an agent makes is captured in an immutable audit log with a signed, PII-free receipt — and PII is tokenized (deterministic encryption, Cloud-KMS envelope keys) before it ever reaches the model, so raw customer data never leaves your boundary in the clear. Lumen replays any agent action and generates an audit packet on demand — for InfoSec, Risk, or a regulator.
A 20-Year Research Program
Digital agents. Today's platform. Live.
Embodied agents. Robotics & physical systems.
Analogue, space-grade autonomous systems.
Built for Trust
Ten agents in production. Every agent carries a provable identity, every action lands in an immutable audit log, and PII is tokenized before it ever reaches the model. Agents your enterprise — and your regulator — can actually trust to do the work.