Shared memory for regulated companies and their AI agents
Connect your AI agent to App Store data
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Freemium
Pricing
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
Free tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip
Key features
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
23 MCP tools for iOS app analysis
Keyword ranking history by storefront
Competitor tracking and keyword overlap inspection
Apple Ads campaign data integration
RevenueCat subscription and revenue snapshots
Read-only Apple Ads tools
Hosted MCP endpoint with remote access
What makes it different
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
Maintains separate data boundaries between sources to avoid false attribution
Separates missing ranks from measured drops in analysis
Connects paid and organic data with revenue context in one investigation