River AI

Founded by Igor Babuschkin in 2024

Train and own personalized AI models that run on your hardware

Cost

Pay-per-Token

Rating

★ People love it

Time to value

Requires Expertise

You can use River AI to train and own personalized AI models through LoRA fine-tuning and reinforcement learning on open-source models ranging from 35B to 1T parameters. It lets you bring your own data, shape model weights, and deploy custom agents for specific tasks via a Python client. The goal is to give individuals full ownership of their AI — including the hardware it runs on, the data it learns from, and the resulting model weights.

What River AI does

Fine-tune open-source models using your own datasetApply reinforcement learning to shape model behaviorDeploy trained models as task-specific agentsManage training jobs through a Python clientTrack and control model weights you fully ownRun inference on locally hosted personal hardwarePay only for tokens used during training and inferenceIterate on model training to improve task-specific accuracyLoRA-based fine-tuning on open-source models from 35B to 1T parametersReinforcement learning support for custom model trainingSingle Python client to manage all training and deploymentPay-per-token pricing with no large upfront costFull ownership of trained model weightsDesigned to run AI locally on personal hardwareContinual learning architecture that adapts to individual usersTurn fine-tuned models into cost-efficient task-specific agents

Pricing breakdown

PlanPrice10 seats / yr

Pay per token$0—

Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.

Tutorials & Demos

Frequently asked

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NVIDIA Bright Cluster Manager

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