Train, evaluate, and deploy models at scale
A unified ML platform with model catalog, training pipelines, evaluation framework, and optimized inference — all in one place.
Everything you need for ML
Model Catalog
Access OpenAI, Anthropic, and self-hosted models (Qwen3, vLLM) from a single interface. Compare capabilities, pricing, and context windows.
Training Pipelines
Run training jobs with GPU scheduling, progress tracking, and automatic checkpointing. Monitor loss curves and metrics in real-time.
Evaluation Framework
Benchmark models on tool calling, planning quality, hallucination rate, and context retention. Compare results across model versions.
Fast Inference
Optimized serving with automatic batching, quantization, and GPU scheduling. 12ms p99 latency.
Capabilities
- OpenAI, Anthropic, and local model support
- Usage analytics with per-model cost tracking
- Interactive playground for model testing
- Fine-tuning jobs (coming soon)
- Python and TypeScript SDK support
- Prometheus metrics and Grafana dashboards