AI agents for specific business functions that rehearse tasks as test runs before execution
An AI workforce that runs on your machines
Stage
Not given
MVP
Founded
Not given
Not given
Based in
DE
US
Pricing model
Paid
Freemium
Pricing
Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
Key features
Pre-built roles from a catalogue (31 roles)
Fingerprint verification on approval (SHA-256)
Full audit trail of proposals, test runs and approvals
Integration with 12+ pre-connected services
Custom REST API and MCP server connections
Servers in Germany within EU
AI Act compliance file (limited risk classification)
Command Center shows goals, plans, and shipped work with pull request integration
Agent runs on your own hardware with persistent, stoppable execution
Signed, tamper-evident receipts for all memory access
Encrypted Vault for private information sealed in browser before upload
Trust score from 0 to 1000 based on verifiable activity
Verified badge eligibility for published agents
MCP tools for building and publishing custom agent capabilities
JavaScript and Python SDKs with auto-instrumentation for tracking
Cryptographic verification that instructions come from your workspace
Full memory export with no vendor lock-in
What makes it different
Test runs show actual outcomes with no side effects before real execution
No automatic approvals—every proposal requires explicit human approval
Approved test run and execution count together as one task, not two
Declined proposals are free and don't count against quota
Agents run on your machines with full data privacy and local execution
Verifiable, tamper-evident audit trail for every agent action
Agent memory persists across model changes with no loss of context
Finished work delivered, not chat logs—pull requests and shipped tasks
Earn from published agents through creator payouts on the directory