AI that reads each person first, knows their normal, and remembers every pair
The open-source AI agent for company-wide work
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Freemium
Pricing
43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
Community (free): open-source self-hosted version with core agents, search, integrations, and community support. Business: $10/user/month billed annually, includes all core AI agent features, all integrations, SAML/OIDC single sign-on, priority email support, guided onboarding. Enterprise: custom pr
Key features
Reads individual email history and communication patterns
Analyzes what has built up between two people over time
Tracks changes against each person's normal baseline
Provides color-coded feedback: green, yellow, red across five dimensions
Predicts likely outcomes with recommended actions
Includes contextual external factors when provided
Sealed record system for privacy and historical continuity
MCP server with Apache 2.0 open source client code
llms.txt file for agent discovery and integration
OpenAPI file for tool integration
Task execution across multiple tools
Permission-aware context retrieval
Support for commercial and self-hosted models
Hybrid search with BM25 and semantic search
Source citations for answers
Cost and token visibility by team and model
Code execution in sandboxed environments
25+ workplace connectors
Audit logs and compliance controls
What makes it different
Reads each person individually first, through their own patterns, rather than generic scoring
Remembers relationship history and shows what changed between readings
Never returns scores, trait ratings or personality labels on named people
Simple one-request API integration with no library installation needed
Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects
Open source with Apache 2.0 license allowing inspection and self-hosting
Single unified system replacing multiple specialized tools
Model-independent context layer avoiding re-ingestion when switching providers
Full cost transparency and token tracking across all models
Flexible deployment with managed or self-hosted options
ARVX
Omni