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Agents that compound.

Sonzai gives AI employees the operating context they need to improve with tenure: the team, the account, the workflow, and what changed since the last conversation.

Don't have an engineering team?

We'll build your AI Employee for you.

Forward-deployed engineers from the team behind $70M+ in AI value at DBS Bank and OCBC's first gen-AI rollout. We design, build, and operate a custom AI Employee on your workflow, on Sonzai's runtime — typical first deployment in 4–6 weeks.

Context that gets more useful every week.

Sonzai turns conversations, documents, and workflow events into a durable operating context. The agent does not just remember more. It learns what matters, when to surface it, and which state to carry forward.

A live memory graph under the agent.

The runtime keeps the messy operational picture coherent: facts, entities, relationships, citations, and decisions.

User
Account
Workflow
Document
Decision
Multiplayer Memory · the company OS layer

One memory.
Every agent. Every teammate.

A shared, typed knowledge graph for every AI Employee on your project — and every human reading alongside them. Documents ingest, agents write back what they learn, and newer information supersedes older facts. The institutional memory that doesn't leave.

  • Intra + inter-agent — same graph, all your agents share it
  • Typed facts (Person, Account, Decision, Promise, Document)
  • Documents auto-ingest; agents auto-update the KB
  • Newer information supersedes older facts, automatically
agents · users · documents · facts

Compounding agents, managed runtime, and the Mind Layer

Current answers for teams choosing between Managed Runtime, MCP, OpenClaw, standalone memory, and custom model stacks.

Sonzai is the managed runtime and Mind Layer for compounding AI employees. It carries operating context across users, accounts, teams, workflows, and time through REST, MCP, OpenClaw, and native SDKs for TypeScript, Python, and Go.