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.
Not given
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
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
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
Distyl