Shared memory for regulated companies and their AI agents
Stage
Not given
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Founded
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Based in
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US
Pricing model
Freemium
Freemium
Pricing
Serverless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP
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
GPU clusters at scale with autoscaling
Voice agent infrastructure with sub-second latency
Comprehensive model library with 25+ regions
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
2x faster inference powered by cutting-edge research optimization
60% lower cost with workload-specific optimization
90% faster pre-training with Together Kernel Collection
Research-optimized infrastructure with proprietary kernels
Single unified API across multiple model providers
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