Olbrain Studio is the operating system for enterprise AI agents — one platform to build, run, and govern your enterprise’s entire AI agent fleet. You don’t operate it; Alchemist, an AI agent inside Studio, builds and runs the fleet for you. Every agent it deploys runs as a persistent, governable identity, with every action captured in an immutable audit log.
Olbrain gives you Alchemist — the AI agent inside Studio that does the building. You describe the goal in natural language; Alchemist directs the work through discovery, build, deployment, governance, and observability, and your engineers focus on review and the hard edge cases.
Olbrain’s north star is compose-and-integrate — build, buy, partner, or integrate, all through one orchestration layer.
See use cases for what teams build today.
Inside Studio, Alchemist directs a fleet of specialist sub-agents across the lifecycle: discover the workflow worth automating and produce a requirements document; build the agent and its workflow pipelines; run and support the fleet in production; and observe and audit — replaying any action and generating an audit packet on demand. The deeper architecture is documented in the concepts.
Instructions and purpose, knowledge, tools, connectors, workflows, and triggers — assembled for you and bound to a clear purpose at creation. Underneath, the Agency Protocol gives each agent a persistent, governable identity, so its decisions are attributable and the enterprise can answer for them. Every action lands in an immutable, append-only audit log with a signed, PII-free receipt, and PII is tokenized before it ever reaches a model. Olbrain is model-agnostic — it calls leading language models directly and swaps them freely — and owns its entire stack, including its own orchestration layer. Full detail on the capabilities page.
Olbrain customer data is stored and processed in India (Google Cloud, Mumbai). The platform is DPDP-aligned and built for RBI data residency, with tenant isolation, per-tenant key management, and role-based access control. Customer data is never used to train models. Security posture and certification status (SOC 2, ISO 27001 in progress) are kept honestly status-labelled on the Trust page.
Per-agent subscription includes build, hosting, platform updates, and support; conversational usage is ₹1 per CS-packet and workflow usage is ₹1 per step; language-model costs pass through at cost. Monthly, no lock-in, no minimum. See pricing, or open Studio to start.