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Humane Intelligence

Humane Intelligence provides a modular test and evaluation platform for agentic AI, offering both a managed Evaluation-as-a-Service and a self‑serve platform. Their service includes protocol design, panel recruitment, red‑team testing, statistical analysis, and audit‑ready reporting, with integrations via API/SDK for CI/CD pipelines, enabling enterprises to rigorously assess AI safety and performance.

Traction 1/10
HQ unknown
Founded 20221300+ followers
  • Artificial Intelligence
  • AI Agents
  • Data & Analytics
  • Developer Tools
  • Enterprise Software
Updated 4 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Dr. Rumman Chowdhury

CEO

Product

Problem

Organizations deploying advanced AI systems often lack reliable, reproducible methods to assess ethical risks, bias, and performance, leading to opaque decision‑making and potential harm to users. Traditional testing approaches are fragmented, require extensive manual effort, and do not produce audit‑ready evidence for compliance or trust.

Solution

Humane Intelligence offers a modular test and evaluation (T&E) stack that transforms ambiguous AI capability claims into statistically valid, audit‑grade evidence. Their Evaluation‑as‑a‑Service conducts end‑to‑end studies—including protocol design, panel recruitment, red‑team attacks, and causal analysis—delivered by embedded engineers and data scientists. For teams that prefer self‑service, the platform provides reusable protocol templates, automated red‑team workflows, and versioned scorecards accessible via API and SDK. All outputs are packaged as signed reports, benchmark cards, and machine‑readable metadata, enabling transparent integration into CI/CD pipelines and regulatory audits.

Target Audience

Primary customers are enterprise AI product teams, regulated industries, and institutional partners that need rigorous, human‑centered evaluation of AI models before deployment.

Features

  • End‑to‑end Evaluation‑as‑a‑Service with protocol design, human panel recruitment, and red‑team testing
  • Forward‑deployed engineers and consultant data scientists for causal and subgroup analysis
  • Self‑serve platform with reusable protocol templates and customizable harm taxonomies
  • Automated and human‑in‑the‑loop red‑team workflows with versioned scorecards
  • API and SDK for seamless integration into existing CI/CD and monitoring systems
  • Audit‑grade deliverables including signed reports, benchmark cards, and machine‑readable metadata
This profile is AI-generated and may contain inaccuracies.