Structured AI decision support through multiple independent perspectives
An AI workforce that runs on your machines
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
Essential: €9 (4 AI perspectives); Consilium: €19 (8 AI perspectives); Grand Consilium: €29 (12 AI perspectives). Prepaid packages available: Essential packages of 5 for €39 or 10 for €69; Consilium packages of 5 for €69 or 10 for €129; Grand Consilium packages of 5 for €99 or 10 for €179. Each pric
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
Multiple independent AI perspectives analyze the same question
Anonymous cross-checking of AI answers
Structured Decision Brief with recommendation and risks
Three analysis levels: Essential (4), Consilium (8), Grand Consilium (12) perspectives
Support for 42 languages
Automatic masking of personal and identifying data
Zero Data Retention requirement from AI providers
One follow-up question included per report
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
Anonymous ranking ensures quality of arguments over model reputation
Structured decision report rather than raw AI text
Data confidentiality with Zero Data Retention built in
Fixed transparent pricing per analysis level
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