Wills AI Labs

Helping build the next frontier of AGI through environments, data, and talent at scale.

We partner with frontier AI companies to accelerate model training through high-fidelity RL environments, expert-curated datasets, and a global network of elite talent.

M+

Learners

K+

Enrolled in high-rigour tech and business programs

Coverage

SWE, ML, Data Science, SRE, Cybersecurity, Product, Marketing, Operations, Sales, Leadership & more…

+

Years designing evaluation rubrics

For 10 years, we have been refining how humans learn.

Built by ex-Meta and ex-Google engineers. Our learning and evaluation rubrics have been tested across millions of learners and thousands of hiring pipelines.

Deeply engaged expert talent pool working at

  • nvidia
  • OpenAI
  • Meta
  • amazon
  • Google
  • Anthropic

What we build

Core Capabilities

We are expanding the frontier of AI research by building the systems that train, evaluate, and deploy frontier models.

RL Environments

We create realistic environments where models learn real-world behavior.

  • High-fidelity replicas of live systems

  • Cross-domain coverage spanning web platforms, Model Context Protocol (MCP) servers, and enterprise applications

  • Comprehensive evals and benchmarks

Data

We curate, verify, and deliver high-quality training data with full transparency and ownership.

  • Own the data — exclusive rights for collaborative projects, no licensing ambiguity

  • Verified experts — domain reviewers signed off and audited

  • End-to-end pipeline management with full visibility from sourcing to delivery

Talent

Pressure-tested sourcing, validated by data.

  • Validated quality at scale — program performance plus AI interviewer at 97% accuracy

  • Strict evaluation pipeline involving assessments, AI interviews (97% IRR), and expert interviews

  • Deploy in days, not months

Research by building

Research

Building AGI means building the benchmarks that define progress.

Defining the only benchmark for Project Management

The only benchmark measuring AI performance on real-world PM tasks across Linear, Jira, and more.

+Tasks
+MCP Servers
+Tools

Tested with industrial roles

Project Manager · Engineering Manager · Product Manager

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wills ai labs

BuildingtowardAGIthatfreeshumansfrombusywork.