Private AI for regulated firms with data kept in your country or on your own servers
Portable context for terminal coding agents
Stage
Not given
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Founded
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Based in
US
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Pricing model
Freemium
Open source
Pricing
Per seat per month: €19 with ChatGPT, Claude or Codex integration (Your current AI setup); pricing varies for open models hosted in country or on own servers. Minimum 3 seats. Annual billing provides 2 months free versus monthly billing. Individual plans available. Custom quotes for more than 100 se
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Key features
Inbox Triage bot: reads support inbox, drafts routine replies, flags items needing human attention
Reply Drafter bot: writes careful replies to emails using company history and policies
Support Report bot: turns weekly support emails into actionable reports with trends
Article Writer bot: creates weekly website articles from client questions
SEO Doctor bot: checks Google rankings and identifies pages to improve
Data audit logging: every question, answer and data access recorded on customer's servers
Open model support: runs Mistral, Qwen, DeepSeek and other open-source language models
Flexible deployment: existing AI apps, local cloud provider, or on-premise servers
Team Brain with source attribution: firm's memory with sources cited for every answer
Context Ledger for curating admitted instructions, files and memory
Deterministic context admission before model processing
Workflows with Mother agent team design and checking
Love Spot drawing board with Matilda companion
Desktop app with theme customization
Support for GPT, Claude and Gemini models
Terminal and desktop app sharing state
Portable context for terminal coding agents
What makes it different
Complete audit trail for regulatory compliance: every action logged on customer's side for audits and regulators
No per-prompt billing: fixed seat-based pricing regardless of usage volume
Designed by security expert: built by someone experienced in regulated industry deployments and compliance
Deterministic context admission ensures agents see processed context before model receives it
Context Ledger provides transparent curation of agent inputs
Mother agent orchestrates multi-agent workflows with checking and merged results