Start building with Alchemist
Start building with Alchemist
What Olbrain 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 is The Agent OS for building, running and governing agent systems that work together. Agentify your enterprise. Our forward-deployed engineers work with your team to build and deploy agent systems tailored to your business on Olbrain.
Five kinds of agent on one orchestration layer: Concierge (conversational), Operator (workflow), Analyst (research), Orchestrator, and Designate (role-holding — humans supervise). 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.
Specialized agent systems work toward business-wide goals and constraints, with relevant shared context, clear responsibilities and handoffs, and common governance. Each deployment defines what context may be shared, who owns each decision, when work passes between systems, and where human approval is required. These connections are designed and validated for each deployment. A shared platform alone does not establish coordination, complete action capture or enterprise-wide learning. Workflow design is configurable; integrations, shared context, controls and cross-system behavior require engineering and validation within the agreed scope. The aim is coordinated business outcomes: specialists carry out their responsibilities while handoffs and controls keep the wider business objective in view.
Connect Codex or Claude Code and describe the business outcome. Alchemist facilitates access to Olbrain and its specialist agents. Your AI agent uses the available platform tools to build on an existing runtime, trust and integration foundation. People review results, approve deployment and supervise through Screens. Olbrain engineers provide implementation support where agreed. Each system has its own scope and acceptance criteria.
The Agency Protocol is Olbrain's self-identity architecture. The identity-bound, signed, append-only record is live and supports attribution of recorded actions. Full cryptographic exclusivity and narrative-continuity enforcement remains in development. The enterprise retains accountability.
Olbrain is model-agnostic. It calls leading language models directly and can swap models after engineering evaluation and revalidation. Model cost is included in the ₹2 per message; workflow runs pay model use 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, signed PII-free receipts supporting attribution of recorded actions, PII tokenization before any model call, tenant isolation, per-tenant key management, and role-based access control. Signed records do not by themselves establish complete action capture; coverage and enforcement require separate verification. 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.
The identity-bound, signed, append-only record supports attribution of recorded actions. It does not establish complete action capture or global identity enforcement. Full cryptographic continuity and exclusivity remain in development; the enterprise retains accountability. See the current memo capability record.
Standard pricing is ₹20,000 a month for each agent, Superagent or app (a Superagent’s one subscription covers all its member agents), after a 30-day trial from when it is first made live; ₹2 per message from the first message, with model cost included; workflow runs billed by the work done plus model use at cost; and ₹9,500 per Olbrain FDE day when approved. Building and testing are free. Developers building with Alchemist start with 300 free credits, then $24 a month with 2,000 credits. Prices exclude 18% GST. Olbrain for Shopify is the exception: it is billed only by Shopify, on the store’s Shopify invoice, and none of these prices apply to it. See the complete price card.
Organizations building agent systems around defined business objectives, including existing and new businesses. FP&A is a deployment example. Large-enterprise FP&A remains the current sales focus described in the investor memo; platform scope is broader than that commercial focus.
Yes. Ten agents run in production — five build and run customer agent systems, 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: four agents in UAT, one at BRD, 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.