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What is Patronus AI?
Patronus AI is a research lab focused on the data and simulations that frontier AI models learn from. Its main offering is a catalog of reinforcement learning environments covering software engineering, computer use, customer service, and finance, each built to reflect how real applications behave rather than idealized versions of them. Agents receive tasks inside these simulated applications and are scored with reward signals, giving AI labs a way to improve performance on long, multi-step workflows. The company is also developing Digital World Models, which predict the behavior of digital environments and allow training environments to be generated at scale instead of being built one at a time by hand. These environments and models support the post-training and evaluation of AI agents that operate in software.
What is Agenta?
Agenta is a full-featured, open-source LLMOps platform designed to solve the core challenges AI teams face when building and maintaining large language model applications. Most teams rely on scattered prompts, ad-hoc experiments, and limited visibility into model behavior; Agenta eliminates this chaos by becoming a central hub for all prompt iterations, evaluations, traces, and collaboration. Its unified playground allows developers and product teams to compare prompts and models side-by-side, track version changes, and reuse real production failures as test cases. Through automated evaluation workflows—including LLM-as-a-judge, built-in evaluators, human feedback, and custom scoring—Agenta provides a scientific approach to validating prompts and model updates. The platform supports step-level evaluation, making it easier to diagnose where an agent’s reasoning breaks down instead of inspecting only the final output. Advanced observability tools trace every request, display error points, collect user feedback, and allow teams to annotate logs collaboratively. With one click, any trace can be turned into a long-term test, creating a continuous feedback loop that strengthens reliability over time. Agenta’s UI empowers domain experts to experiment with prompts without writing code, while APIs ensure developers can automate workflows and integrate deeply with their stack. Compatibility with LangChain, LlamaIndex, OpenAI, and any model provider ensures full flexibility without vendor lock-in. Altogether, Agenta accelerates the path from prototype to production, enabling teams to ship robust, well-tested LLM features and intelligent agents faster.
Integrations Supported
Cohere
Falcon AI
Hugging Face
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
API Availability
Has API
API Availability
Has API
Pricing Information
Custom pricing based on project scope. Contact Patronus AI to discuss.
Pricing Information
Free
Free Version
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Patronus AI
Date Founded
2023
Company Location
United States
Company Website
www.patronus.ai/
Company Facts
Organization Name
Agenta
Date Founded
2023
Company Location
Germany
Company Website
agenta.ai/
Categories and Features
Artificial Intelligence
Machine Learning
Natural Language Processing
Categories and Features
Prompt Engineering
Not specified
Prompt Management
Not specified