Polymath

Founded by Dylan Ma in 2026

Worlds for training & evaluating AI agents

Cost

Demo

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Time to value

Requires Expertise

You can use Polymath to create simulated worlds where AI agents learn to handle complex, multi-step tasks using various tools. The platform lets you build environments with applications like Slack, GitHub, and Excel, seed them with data, define tasks, and set up verification criteria. Agents can then practice completing work across different domains while you measure their performance against specific benchmarks.

What Polymath does

Set up simulated workplace environments with multiple toolsDefine complex multi-step tasks for AI agents to completeCreate verification criteria to measure agent performanceTrain agents on long-horizon problem-solving scenariosEvaluate agent success rates across different domainsBuild custom benchmarks for specific industry use casesMonitor agent behavior during complex task executionCompare performance metrics between different agent modelsCreates multi-tool task environments for agent trainingIntegrates with real workplace applications like Slack and GitHubIncludes built-in task verification and evaluation criteriaSupports long-horizon task completion scenariosProvides benchmark datasets like Horizon-SWEEnables cross-domain agent testing and evaluation

Tutorials & Demos

Frequently asked

Microsoft Excel OpenAI

OpenAI

Anthropic

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