HUD

HUD

AI agent evaluation platform and benchmarks

Overview

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.

YC Company
Launched Recently

About HUD

Simplify's Rating
Why HUD is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

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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Simplify's Take

What believers are saying

  • HUD raised a $16M Series A led by Standard Capital in June 2026.
  • HUD says over 50 businesses use the platform, including vendors selling millions monthly.
  • Native GitHub Agentic Workflows support expands HUD into coding-agent evaluation workflows.

What critics are saying

  • OpenAI and Anthropic can internalize evals, shrinking HUD's core market quickly.
  • HUD faces open-source imitation from Cua, OSWorld, and other benchmark builders.
  • If labs standardize on in-house benchmarks by 2027, HUD becomes a commodity layer.

What makes HUD unique

  • HUD sells live computer-use evals against real software, not static datasets.
  • Its CUA Evals framework targets browser agents, desktop tasks, and RL training pipelines.
  • HUD also runs a vendor marketplace, connecting post-training suppliers directly with AI labs.

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Funding

Total Funding

$130k

Below

Industry Average

Funded Over

1 Rounds

Notable Investors:
Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Below Average

Industry standards

$3.3M
$130k
HUD
$1.5M
Slack
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Paid Holidays

Commuter Benefits

Growth & Insights

Headcount

6 month growth

-8%

1 year growth

-8%

2 year growth

-8%

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