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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Frontier AI labs use Patronus AI to train models and agents on realistic, multi-step work. The company designs reinforcement learning environments modeled on everyday digital tasks, from writing and shipping code to operating websites, resolving customer support requests, and completing financial workflows. Every environment combines replicas of real software with task definitions and reward signals, and it introduces the friction agents meet in practice, including slow responses, changing interfaces, and interruptions. Alongside these environments, Patronus AI researches Digital World Models: AI models that learn how software environments respond to an agent’s actions, making it possible to create new training environments automatically and keep them challenging as model capabilities grow. Labs apply this work across post-training, benchmarking, and evaluation.

Description

ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Claude Code No 
DeepSeek No 
Google Cloud Platform No 
Qwen No 
Runpod No 
gpt-oss-120b No 

Integrations

Amazon Web Services (AWS) Yes 
Claude Code Yes 
DeepSeek Yes 
Google Cloud Platform Yes 
Qwen Yes 
Runpod Yes 
gpt-oss-120b Yes 

Pricing Details

Custom pricing based on project scope. Contact Patronus AI to discuss.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Patronus AI

Founded

2023

Country

United States

Website

www.patronus.ai/

Vendor Details

Company Name

ReinforceNow

Country

United States

Website

www.reinforcenow.ai/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

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