Marketplace and runtime for headless, agent-first apps
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Serverless inference with per-token pricing (pay for output, input, and cached tokens). Training pricing from $0.50 to $10.00 per 1M training tokens depending on model size and fine-tuning type. On-demand deployments at $0.134 to $0.334 per minute ($8 to $20 per hour) for various GPU types.
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Key features
Guided training runs
Configuration-led training
Custom training logic
Serverless inference
On-demand dedicated deployments
Reserved capacity
OpenAI compatible API
Model library with latest open models
Reinforcement learning support
Multi-region deployments
Install agent-first apps without graphical interface
Connect via MCP or REST protocols
Browse and install from marketplace
Run apps locally on your server or computer
Share app results between connected agents
Build custom apps using Python, JavaScript or containers
Test improvements before reusing apps
Keep apps private or publish to marketplace
Optional runner to track tasks without model API agent
Linux x86-64 and ARM64 support
What makes it different
Drop-in replacement for closed-model APIs with cost savings of 50-75%
Instant production deployment from any training checkpoint in seconds
Optimized inference engine for industry-leading throughput and latency
Elastic and global RL inference scaling
Own the complete learning loop for specialized intelligence
Data stays in your own environment
Add tools without changing agent harness
Multiple agents share results in same collection
Agents can create tools by automating repeated work