Decision Sovereignty
Memory + Decision Engine
for AI in production.
Typed memory, audited decisions, evolving with use.
Enterprise-Grade Security & Compliance
How it works
How you build with Zunft.
Three steps. Each verb is a typed surface. Each step ends with a persona that maps to the buying motion — bottom-up adoption to top-down approval.
5 min
author
Solo DevPrompt Claude Code to author a typed decision kernel via MCP. The kernel authoring engine emits a typed class and an audit row.
1 day
decide
Tech-LeadWire the kernel into your agent loop. Every invocation produces a typed ChoiceArchitecture — options, trade-offs, provenance.
1 week
audit
CTO / ComplianceEvery decision is a row in the audit trail. HITL gates route human approvals. Overrides feed the calibration loop.
A decision is the unit of work — not a commit.
Authored with the IDEs your engineers already use. Runs on the protocols your agents already speak.
Authored with
Others gated on MCP stream-compat verification.
Runs on
HTTPMCPPython SDK·LangGraphPydantic AIGoogle ADK·Claude SDKOpenAI SDK·WindmillHow it ships
From CRM optimization to decision engineering.
01
The CRM optimization trap
Sales orgs keep adding fields, workflows, and integrations to systems built for record-keeping, not decision-making.
02
The decision-engine shift
What if the system optimized decisions, not records? Typed sales ontologies, authored decision kernels, audited HITL approvals.
03
What ships today
Currently shipping with design partners across DACH industrial-services commercial use-cases. Production deployments under NDA.
Apply to be a design partnerBuilt against real industrial commercial use-cases. Compute + Sales Ontologies + Decision-Orchestration. Open the architecture →
Quickstart
Author your first kernel in 5 minutes.
{
"mcpServers": {
"zunft": {
"transport": "streamable-http",
"url": "https://api.zunft.ai/mcp/tenant/stream"
}
}
}First call opens a browser to sign you in to your tenant. Token is cached locally.
Then in Claude Code:
“Author a lead-qualification kernel for our industrial sales pipeline. Include a HITL gate and emit the audit row.”
→ zunft.author_kernel
prompt "lead-qualification · industrial sales pipeline"
gate hitl
emit audit
✓ kernel authored
class lead:QualifyingDecision
slots lead_score · fit_signals · risk_flags · recommendation
HITL gate active · 1 reviewer required
audit lead-qual-2026-06-25-001 · sha256 7a3f…
→ ready · next: zunft.generate_decision5 min to first authored kernel.
Works with any MCP-capable client (Cursor / Cline / Codex — verified compat varies).
How we price
Mechanism visible. Amount is conversation.
The meter
We price by typed decisions generated. One ChoiceArchitecture emitted = one billable decision.
What's included
Memory storage · audit trail · HITL gates · tenant isolation · OAuth — included in the meter.
The conversation
For volume estimates, sovereign cloud (EU/DACH), on-prem deployment, multi-year commit — talk to us.
About
Decision sovereignty for AI in production.
Built so your AI can be reviewed.
We engineer typed runtime for multi-agent systems — ontology authoring, decision generation, audit, HITL. Tenants own their kernels. Operators don't see your data. Reviewers see every choice.
Built and operated by a small senior team in Munich.
Supported By
Built by serial founders.
Ready to make your AI CTO-fest?
Book a decision review — we look at your agent's outputs and show you how Runtime reviews them.