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HUD provides an evaluation platform for AI agents that perform computer-use tasks. It offers an interface that connects to HUD evaluation environments, allowing users to run benchmarks across hundreds of environments and thousands of tasks. Users can integrate their agents using various adapters, and interact with the system through an asynchronous API for efficient experiments. The platform then collects telemetry and benchmarking results to inform agent improvements. HUD differentiates itself by concentrating on evaluating and improving knowledge-work agents across a wide range of tasks and environments, rather than just building models, and by enabling scalable, tool-enabled testing via adapters and an asynchronous workflow. The company’s goal is to help organizations and developers assess, compare, and enhance their AI agents so they perform better in real-world knowledge-work scenarios.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
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Total Funding
$130k
Below
Industry Average
Funded Over
1 Rounds
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
Find jobs on Simplify and start your career today