Run and fine-tune models. Deploy custom models. All with one line of code.
The all-in-one agentic AI solution for your organization
Stage
Not given
Startup
Founded
Not given
2024
Based in
Not given
Not given
Pricing model
Paid
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.
Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
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
Centralized context repository for unifying work signals across tools
MCP protocol integration with AI assistants and tools
First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
Per-agent scoped access with full audit trail
Custom vector embeddings for agent memory
Instant agent shutdown from anywhere globally
QUAERO enterprise AI agent governance system
Two-way sync with tools for agent actions and work flows
Support for custom MCP servers and internal tools
Real-time organizational context for agent reasoning
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
AI-first design with structured, queryable context rather than static documentation
Consistent policy and audit rules across all integrations
MCP-native integrations with no bespoke connectors to maintain
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