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Join the API Waitlist

Early access + founding member discount for the first 100 signups.

I'm interested in Cubit's data for

Explore the free Cubit pre-release↗︎ through January 31, 2026. Full API launching soon.

— Cubit API

You're making million-dollar decisions about AI and your workforce.
 

But you're flying blind:

 

  • Which roles are actually vulnerable?

  • Where should you invest in training vs. automation?

  • How do you avoid expensive failures?

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AI vendor pitches are biased. Consulting reports cost millions and are outdated on arrival.


You need real-time, task-level intelligence.

— Built for

Companies

Develop tailored pre-deployment risk assessments

Investigate your AI goals with data on 12,000+ tasks to see where AI is – and isn’t – up to the job, and why. Use our API to automate task-to-capability analyses that will find and quantify gaps between your expectations and reality, before it costs you real money.


Build data-driven skill-improvement programs

Map your workforce’s strengths to highly AI-resistant career profiles, and invest in your long-term team’s success. Develop individualized employee upskilling plans that use skill-specific data from our API to advance the resilience of both your workforce and your mission.


Update your strategy alongside the technology

Build your policies and workflows on transparent frameworks and data that track the latest AI benchmarks. Move from quarterly strategy reviews toward programmatic policies and workflows that auto-calibrate to the latest changes in measurable AI capability. 

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Cubit is a first-of-its-kind framework, dataset, and interactive tool to investigate job vulnerability to AI.

— What Cubit Enables 

01

Scrutinize your AI goals against 3.7 million expert-assessed AI benchmarks

02

Assess AI job risk using 1 million task-level annotations by real workers

03

Build custom dashboards and integrations for scaled risk heat-mapping

04

Access and account for real-time updates as AI capabilities evolve

05

Deploy custom evaluation frameworks on your workforce data

— Methodology​​​

Link jobs to AI performance
We connect O*NET job tasks to HELM AI benchmark results by labeling both with the same requirements (reading comprehension, math reasoning, spatial processing, etc.). This lets us measure how AI performs on the actual skills each task requires.

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Score automation exposure
Beyond AI capability, each task also gets scored on what makes it easy to automate (digitizable, procedural) versus resistant (requires empathy, improvisation, physical presence, complex judgment).

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Calculate task-level risk
We combine AI capability scores with automation barriers to estimate which tasks AI can realistically handle—and which remain distinctly human. We show our work so you can decide for yourself. 

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— Measure. Don't Guess.

Everyone's talking about AI replacing jobs. Nobody's giving you straight answers. Cubit does.

 

Search any job or task to see a transparent breakdown of its potential automation risk.

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