Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
Shared memory for regulated companies and their AI agents
Stage
Established
Not given
Founded
2017
Not given
Based in
US
US
Pricing model
Contact for pricing
Freemium
Pricing
Not given
Team plan: $10/person/month with 14-day free trial, includes meeting recording, email and calendar enrichment, knowledge organized by topic, private scopes and projects, agent keys with custom permissions, import existing brain, and MCP for all agents. Enterprise plan: custom pricing for regulated a
Key features
One integrated runtime combining neural and symbolic systems
Deterministic policy enforcement before action
Complete execution trace for every turn
Natural language program authoring with code generation
Consistent decisions from identical inputs
CPU-based logic execution with lightweight language models
Managed service and custom enterprise deployment options
Records and transcribes meetings with visible participant
Automatically extracts facts from email and calendar
Scoped access control with automatic sorting
Private projects limited to members
Agent API keys with read-only or read-write permissions
Works with Claude, ChatGPT, Cursor, Codex over MCP
Import existing brain from markdown, Obsidian, or GBrain
Facts organized by topic with full history
Raw email stays private to owner, team sees extracted facts only
180 days of email history imported on day one
What makes it different
Symbolic logic governs decisions instead of neural weights
Lower operational costs through CPU-based logic and lightweight models
Every fact is scoped automatically by sensitivity level and agents see only what their teammate can access
Agents can write back to the same brain over MCP, updating shared knowledge in real time
CASA Tier 2 security assessed and verified by Google for Gmail and Calendar access
Onboard entire team in under 5 minutes with one-click Google sign-in
Data never used to train AI models, privacy verified in policy
Apollo-1
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