Start building with Alchemist
Start building with Alchemist
Olbrain assembles the full agent stack for you and runs it under one orchestration layer, one identity model, and one audit trail. Here is what the platform does.
Five kinds of agent on one orchestration layer — conversational, workflow, research, coordination, and role-holding. Designate agents hold the role; humans supervise.
Three runtimes shipping in production today, each tuned to its kind of work.
The orchestrator and its specialists handle discovery, requirements, build, and instrumentation. You bring the goal in natural language.
Every agent is anchored to an explicit purpose, bound at creation, that orients its behavior and stays stable over time.
Connect enterprise documents and systems so agents answer and act from your knowledge, not guesses.
Agents act through tools — Model Context Protocol (MCP) tool servers — and connectors into enterprise systems and APIs.
Document AI, reasoning, integration, data ops, control flow, human gates, and outputs compose into directed graphs that fan out per item and aggregate.
Agents and workflows start from conversation, from other agents, from external events, or on a schedule.
Specialist systems can be connected through scoped workflows, relevant shared context, responsibilities and handoffs. Cross-system behavior and controls require engineering and validation; a shared platform alone does not prove coordination.
The identity-bound, signed, append-only record is live. Full cryptographic exclusivity and narrative-continuity enforcement remains in development; the enterprise retains accountability.
The Context Service keeps append-only, judge-gated memory scoped from global to agent to session.
Identity-bound, signed, append-only records and PII-free receipts support attribution of recorded actions. Replay scope depends on the recorded data and supported action paths in the deployment; complete action capture or replay of every external side effect is not claimed.
Detected PII is tokenized (deterministic encryption, Cloud-KMS envelope keys) before a payload reaches a language model.
Single-pane observability, policy enforcement, and lifecycle management in Olbrain Noesis (noesis.olbrain.com) — recorded actions associated with named agent identities.
Calls leading language models directly. Model changes require engineering evaluation and revalidation before deployment; model cost is included in the ₹2 per message, and workflow runs pay model use at cost.
Olbrain builds and owns its entire agent stack, including its own orchestration layer, end to end.
Publish agents across the channels your enterprise uses; run them on Olbrain’s cloud with no infrastructure required from you.
Stored and processed in Google Cloud, Mumbai (asia-south1); built for RBI data residency; tenant isolation and per-tenant keys.