Run and fine-tune models. Deploy custom models. All with one line of code.
Post-train specialized models for your task, creating an AI edge your competitors can't buy
Stage
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Established
Founded
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Based in
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IL
Pricing model
Paid
Contact for pricing
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.
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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
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Forward-Deployed Researchers provide end-to-end model training and optimization
Custom evaluation suite development from real tasks
Production-ready deployment with cost-quality trade-offs
Deployment flexibility including on-premises and VPC options
Data security with no retention and full traceability
Continuous model improvement from production traffic
Customer ownership of model weights and training recipes
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
Customers own specialized models trained on proprietary data, not rented general-purpose models
Achieve frontier-level quality at lower costs through specialized training
Five years of experience with diverse post-training and optimization methods
Models ship production-ready in weeks with ongoing improvement capability
Secure deployment with no data retention and auditable access controls