Introducing Patronus AI

RL Envs

Dynamic, feedback-driven environments for domain-specific agent training and evaluation.

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Code

Our Coding environments focus on simulating real-world software engineering and product development workflows. The environments simulate scenarios such as software task management, application development, and team coordination, with more to come!

Code

Customer Service

Our Customer Service environments simulate multi-turn customer service chatbot interactions with the user in a variety of real-world domains such as banking, e-commerce, healthcare, and travel.

Customer Service

Computer Use

Our Computer Use RL environments focus on complex multi-step workflows on commonly used sites. The environments themselves are replicas of real-world websites and simulate latency, UI changes, information feed updates, and random pop-ups.

Computer Use

Finance

Our Finance environments simulate financial information exchanges, trading applications, and instruction following for contracts. They test for numerical reasoning, multi-turn reasoning, financial document analysis, social sentiment analysis, and tool-based computation.

Finance

Games

Our Games environments simulate real-world educational and critical thinking games such as NYT crosswords, connections, etc., that will challenge agents to apply gathered knowledge, develop stronger associations, and sharpen their reasoning ability.

Games

Computer Use

Our Computer Use RL environments focus on complex multi-step workflows on commonly used sites. The environments themselves are replicas of real-world websites and simulate latency, UI changes, information feed updates, and random pop-ups.

Code

Our Coding environments focus on simulating real-world software engineering and product development workflows. The environments simulate scenarios such as software task management, application development, and team coordination, with more to come!

Customer Service

Our Customer Service environments simulate multi-turn customer service chatbot interactions with the user in a variety of real-world domains such as banking, e-commerce, healthcare, and travel.

Finance

Our Finance environments simulate financial information exchanges, trading applications, and instruction following for contracts. They test for numerical reasoning, multi-turn reasoning, financial document analysis, social sentiment analysis, and tool-based computation.

Finance

Games

Our Games environments simulate real-world educational and critical thinking games such as NYT crosswords, connections, etc., that will challenge agents to apply gathered knowledge, develop stronger associations, and sharpen their reasoning ability.

Games

From Benchmarking to Realistic RL

Patronus AI creates research-grade datasets and benchmarks tailored specifically for AI agents—capturing complex, real-world reasoning, decision-making, and multi-step workflows that generic data can't simulate. We’ve developed some of the most rigorous agent evaluation tools in the market.

1

FinanceBench

10,000+ expert-annotated Q&A pairs from real SEC filings for evaluating financial reasoning and compliance in advanced LLMs

2

BLUR

573 natural “tip-of-the-tongue” queries across text, sketches, audio, and languages, exposing memory and multimodal reasoning gaps in top agents

3

TRAIL

Benchmark for agentic reasoning and trace evaluation with 20+ failure types and human-labeled execution paths; SOTA models score <11%

4

MemTrack

Tests long-term memory and retrieval in LLM agents, tracking context retention and consistency across complex, multi-step reasoning tasks.

Every dataset and benchmark we build brings depth, precision, and real-world credibility.

RL Environments Catalog

Coding
Tool Use
Computer Use
Finance
Games
Environments for Software Workflows

Coding Agent Task Management

Completes diverse day-to-day engineering tickets, including bugs, documentation improvements, feature additions, code refactor, and product design updates

SWE
Engineering
Task Planning

Data Analysis (Text2SQL)

Converts text to SQL queries and returns execution results

SQL
Analysis
NLP

Web Development Design

Provides direction on web development by interpreting the UI mock, breaking apart the task, assigning priorities and ordering, and building out the features

Web Dev
Prioritization
UI

Agent Memory

Holds and applies context based on a timeline-driven environment

Memory
Context
Time

Multi-agent Engineering Team

Collaborates with a team to complete tickets, receive realistic human-like interruptions (task and context switching, off-topic and casual conversation)

Collaboration
Task Completion
Interruptions
 Environments for Customer or Employee Support

Banking Customer Service

Answers banking-related customer queries with relevant knowledge, policy adherence, and effective conversational abilities

Banking
Multi-turn
Database

Hotel Concierge

Answers hotel-related customer queries with relevant knowledge, policy adherence, and effective conversational abilities

Hotels
Multi-turn
Database

Car Sales

Answers car sales-related customer queries with relevant knowledge, policy adherence, and effective conversational abilities

Cars
Multi-turn
Database
Environments for Website Use

Restaurant Finder & Review System

Finds restaurants to try, and also contribute multimedia content (ex., opinions, ratings, photos, videos) in the form of reviews

Search
Content Creation
Content Evaluation

Blurb Feed Platform

Creates post content, contributes meaningfully to discussions, and conducts research on topics of interest

Content Creation
Multi-turn
Search
Environments for Financial Services

Financial Q&A

Demonstrates numerical reasoning, multi-turn reasoning, financial document analysis, and tool-based computation by answering financial questions

Finance
Q&A
Database

Financial Instruction Following

Operates within regulatory constraints when performing actions on behalf of the user regarding actions with financial documents

Finance
Instruction Following
Tool Use

Financial Trading

Reasons to through noisy financial data and news to elicit insights for optimal trading strategy formation

Finance
Data
Strategy

Banking Risk Analyst

Analyzes risks in a bank setting, specifically fraudulent transactions

Databases
Multi-turn
Databases
Environments for Financial Services

Financial Q&A

Demonstrates numerical reasoning, multi-turn reasoning, financial document analysis, and tool-based computation by answering financial questions

Finance
Q&A
Database

Financial Instruction Following

Operates within regulatory constraints when performing actions on behalf of the user regarding actions with financial documents

Finance
Instruction Following
Tool Use

Financial Trading

Reasons to through noisy financial data and news to elicit insights for optimal trading strategy formation

Finance
Data
Strategy
Environments for General Problem-Solving

Financial Wordle

Tests the depth of financial understanding, where solving within fewer attempts correlates with a better understanding

Finance
Problem Solving
Puzzle

Financial Connections

Tests ability to make connections between concepts and evaluate the depth of its financial understanding

Finance
 Associations
Concepts

Our Differentiators

Ecologically valid and human-centric interruptions

  • Pop-ups and advertisements on simulated websites
  • Failed website loads (test failure recovery)
  • Task switching and reprioritization
  • Social interactions in dialogue

Configurable difficulty levels

  • Task versions that adjust the level of ambiguity in the task instruction
  • Environment versions that introduce popups and distractors

Multi-agent environments

For example, dual control customer service setting tests user-agent collaboration

Self-play and exploration-driven

  • Event-driven and scheduled workflows
  • Non-deterministic interruption triggers