What Olbrain Studio is, what you can build on it, how it works, the models it uses, where data lives, how security and audit work, and what it costs.
Olbrain Studio is the operating system for enterprise AI agents — a platform to build, run, and govern an enterprise’s entire fleet of AI agents. Its master orchestrator, Alchemist, is an AI agent that builds and runs the fleet for you: you describe the goal in natural language and Alchemist directs the work from discovery through build, deployment, governance, and observability. It is live at studio.olbrain.com (build) and admin.olbrain.com (run and govern).
Five kinds of agent on one orchestration layer: Concierge (conversational), Operator (workflow), Analyst (research), Orchestrator, and Copilot. Three runtimes are live and shipping today — conversational, workflow, and research. Typical agents include customer support, KYC and onboarding, collections and NACH, TDS verification, and document processing. See use cases.
On Olbrain, agents author the agents: Alchemist and its specialist sub-agents do the discovery, requirements, build, and instrumentation, so your team brings the goal and stays on review and the hard edge cases. Every agent runs as a persistent, governable identity under the Agency Protocol, and every action is captured in an immutable audit log with signed, PII-free receipts. Olbrain builds and owns its entire agent stack, including its own orchestration layer, and is India-hosted.
Alchemist is the AI agent inside Olbrain Studio that builds and runs your entire enterprise agent fleet. It has full operator-level access to Studio; enterprise users interact with it in natural language, and it directs a fleet of specialist sub-agents through discovery, build, deployment, governance, and observability.
The Agency Protocol is Olbrain’s mechanism for giving each agent a persistent, governable identity — one accountable, exclusive actor — so that every decision and action is attributable to it and the enterprise can answer for what its AI does.
Olbrain Studio is model-agnostic. It calls leading language models directly and can swap models without changing the agent, so Studio adopts the newest, most capable, or most compliant model as it becomes available. Language-model costs are passed through at cost.
Olbrain customer data is stored and processed in India — Google Cloud, Mumbai region (asia-south1). The architecture is DPDP-aligned and built for RBI data-residency requirements. PII is tokenized before any payload reaches a language model.
Security is built in: an immutable, append-only audit log, a signed PII-free receipt for every action, PII tokenization before any model call, tenant isolation, per-tenant key management, and role-based access control. Customer and enterprise data is never used to train base models, fine-tunes, or evaluations. SOC 2 and ISO 27001 programs are in progress. Full, honestly status-labelled detail is on the Trust page.
Every agent action is written to an immutable, append-only audit log and emits a signed, PII-free receipt. Lumen can replay any action and generate an audit packet on demand for InfoSec, Risk, or a regulator. Accountability stays with the enterprise; Olbrain provides the infrastructure that makes the enterprise’s AI something it can attribute, verify, and answer for.
₹20,000 per agent per month (includes build, hosting, platform updates, and support), plus ₹1 per CS-packet for conversational usage and ₹1 per step for workflow usage. Language-model costs are passed through at cost with no markup. Billing is monthly with no lock-in and no minimum. See pricing.
Enterprises that need to build and govern fleets of AI agents under regulatory scrutiny — beginning with Indian regulated finance (NBFCs, banks, insurers, asset managers, fintechs) — where auditable identity, attributable decisions, and data residency matter.
Yes. Ten agents run in production — five build and run customer fleets, and five run Olbrain itself (engineering documentation, production debugging, DevOps, hiring, and sales). Olbrain is in active UAT with a leading Indian NBFC of roughly $1B AUM: five agents in UAT and sixty-plus workflows in scope.
No. Olbrain builds and owns its entire agent stack, including its own orchestration layer. Language models are called directly and are swappable, so the platform can adopt new models the day they ship.
Agents reach external systems through tools — implemented as Model Context Protocol (MCP) tool servers — and connectors.
Olbrain Labs Private Limited, headquartered in Gurugram, India (CIN U62013HR2024PTC123898), co-founded by Alok Gotam (Founder & CEO) and Nishant Singh (Founder & CTO). The Olbrain mission has been continuous since February 2017; the current operating entity was registered in August 2024. More in the press kit.