River
River builds personal AI that individuals own and shape — offering an API and tools to fine-tune and run personalized models locally and in the cloud, with a focus on privacy, ownership, and continual specialization.
River is ai tools software teams evaluate for personal & entertainment. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Personal & Entertainment
What it does
AI Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Personal & Entertainment
Pricing snapshot
Paid from Pay per token
Next step
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River
River is building personal intelligence that individuals own, control, and run themselves. The company focuses on interfaces, models & algorithms, infrastructure, and personal hardware to enable highly personalized, continually learning AI that aligns with a user's values. River provides an API and tooling to fine-tune and train models (LoRA fine-tuning and reinforcement learning) across open-source models ranging from ~35B to 1T parameters, intending to let users bring their data, shape model weights, and own the intelligence they create.
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Claim this listingKey Features
LoRA fine-tuning
Supports LoRA-based fine-tuning to adapt open-source models to user data and tasks.
Reinforcement learning
Offers reinforcement learning workflows to teach models new skills and turn them into agents.
Wide model support
Runs on a variety of open-source models ranging from approximately 35B to 1T parameters.
Python client and API
Provides a small Python client and an API to fine-tune, train, and deploy personalized models.
Pay-per-token billing
Uses token-based billing (pay per token) for usage.
Personal hardware & infrastructure
Emphasizes personal hardware and infrastructure built for continual specialization at scale.
Pricing
Pay-as-you-go
Pay per token- Token-based billing
Use Cases
Personalized assistants
Create an AI that is customized to an individual's preferences, values, and data so it behaves responsibly and aligned to the user.
Task-specific agents
Teach models new skills and convert them into cost-efficient agents for specific tasks via fine-tuning and reinforcement learning.
Local and private intelligence
Run and own intelligence on personal hardware to maintain ownership of data, models, and compute.
Integrations
Open-source models
Supports fine-tuning and reinforcement learning on a variety of open-source models.
Python client
Provides a small Python client to interact with the API and training workflows.
Benefits
Limitations
Frequently Asked Questions
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Getting Started
- 1 Sign up on the River site
- 2 Explore the API documentation and examples available on the site
- 3 Use the Python client to fine-tune models (LoRA) or run reinforcement learning workflows with your data
Support
docs
Explore the API and examples via links on the site.
social
Company presence and contact options referenced as Connect: X and LinkedIn.
site contact
A 'Contact' link is present on the site (visit the main site for contact entry points).
API
Explore the API and see examples via the site links ("Explore the API → See an example →").
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