Run and fine-tune models. Deploy custom models. All with one line of code.
Architecting the AI-Native Enterprise
Stage
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Founded
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Based in
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US
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
Image generation from text
Distillery: Operating system for enterprise AI
Weave: Autonomous AI system construction
Context Mesh: Enterprise knowledge structured for AI
Context Views: Enterprise semantic layer for agents
Journey: AI voice layer for digital experiences
Personalization: 1:1 customer engagement at enterprise scale
Capture: Tacit knowledge capture at scale
Canary: Self-improvement for AI systems
Forward-deployed engineers and researchers
EBITDA impact in 6 months
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
Distyl