Riven Models

Train, evaluate, and serve models at scale.

The Riven AI Platform gives you a unified control plane for the full model lifecycle — from fine-tuning and evaluation to production inference. Ship any HuggingFace or custom model in minutes, with observability baked in.

Riven
Serving Engine
vLLM
Runtime
OpenAI
Compatible API
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What's included

Everything you need, nothing you don't.

High-Performance Inference

Production-grade serving that scales with your traffic. Deploy any HuggingFace or custom model in minutes.

Fine-Tuning Pipelines

LoRA, QLoRA, and full fine-tuning workflows. Connect your dataset, pick a base model, and let the pipeline handle the rest.

Evaluation Framework

Built-in eval harness with MMLU, HellaSwag, and custom benchmarks. Compare model versions side-by-side with drift detection.

Inference Observability

Token throughput, latency percentiles, and per-request traces. Grafana dashboards auto-provisioned on deploy.

Full capability list

Optimized serving at any traffic scale
Multi-GPU horizontal scaling
LoRA / QLoRA fine-tuning
BM25 + vector hybrid retrieval
RLHF & DPO training loops
Model registry with versioning
A/B and shadow traffic routing
Auto-scaling on GPU utilization
OpenAI-compatible API surface
Prometheus + Grafana observability

Early access

Riven is in beta — pricing opens as we leave beta. Request access and we'll reach out within a few days.

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