Run and fine-tune models. Deploy custom models. All with one line of code.
The user-owned context backend for AI agents
Stage
Not given
Growing
Founded
Not given
Not given
Based in
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US
Pricing model
usage-based
freemium
Pricing
Most models billed by time based on hardware used (CPU $0.000100/sec, T4 GPU $0.000225/sec, L40S GPU $0.000975/sec). Some models billed by input/output tokens or generated items. Private custom models billed for all uptime; fast-booting fine-tunes billed only for active processing.
Not given
Key features
Run thousands of community-contributed open-source models
Fine-tune models with custom data to create specialized versions
Deploy custom models using Cog, an open-source packaging tool
Automatic scaling based on demand
Pay only for compute time used
Image generation from text
One user-owned context for every agent
Agents wake up to what changed since their last loop
Readable, traceable context with every change logged
End-to-end encryption with AES-256
Granular sharing controls with revocable access
Right to export, delete, and transparency
Context that travels across AI products and models
What makes it different
One-line code interface for running models without ML expertise
Automatic infrastructure scaling without manual management
Open-source community with thousands of production-ready models
Fine-tuning capability to customize models for specific tasks
User-owned context that travels with you across AI products
Traceable agent activity with full visibility and control
Agents coordinate through shared context without learning being trapped in silos