Mastery layerfor AI agents.
Sonzai turns real work into operating experience. Conversations, documents, corrections, tools, and outcomes become the state an agent uses to master the job.
The model knows the world.
The agent masters your work.
Stores facts about one user and retrieves them later.
Learn more →Carries state between people, accounts, teams, and workflows.
Resolves contradictions, decays stale state, and turns each deployment into work XP.
Learn more →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: 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 mastery graph under the agent.
The runtime keeps the messy operational picture coherent: facts, entities, relationships, citations, decisions, and what changed since the last conversation.
Every turn updates the operating picture.
Requests, corrections, decisions, tone
Promises, objections, owners, approvals
Handoffs, tasks, tools, blockers
Policies, runbooks, notes, citations
What worked, what failed, what to reuse
Mastery, XP, and runtime state
Current answers for teams choosing between Managed Runtime, MCP, OpenClaw, standalone state, and custom model stacks.
Sonzai is the Mastery Layer for AI agents: a managed runtime that turns conversations, workflows, corrections, and outcomes into operating experience. Teams use it to build AI employees and companions that get better at the specific job over time through REST, MCP, OpenClaw, and native SDKs for TypeScript, Python, and Go.