Scale appoints Francis deSouza as the new CEOWatch the announcement

Reliable AI has no shortcuts

The world’s most important decisions need reliable AI systems.

Scale works across the entire AI stack — from the data that trains the models you rely on, to the evaluations that prove they work, to the systems that put them into production.

Trusted in production since 2016

90%

of leading generative AI model builders are powered by Scale

10 yrs

at the frontier, from autonomous vehicles to reasoning models

25%

of our contributors hold advanced degrees

#1

benchmark authority every frontier model is measured against

The reliability ladder

Three levels stand between a model and a system you can trust.

  1. LEVEL I

    Data that reflects reality

    Frontier models are only as good as what they learn from. We source expert contributors with precision and deliver at the bar frontier AI demands.

  2. LEVEL II

    Evaluation that finds the failures

    Private benchmarks and expert red-teaming surface the failure modes before your users do — the same evaluations the frontier labs run.

  3. LEVEL III

    Deployment that owns the outcome

    Most enterprise and government AI deployments fail. We find the right use case, build the system, keep humans in the loop, and stay accountable for the result.

Applications

AI systems that actually work.

We take AI from pilot purgatory to production: the right use case, the right architecture, and the accountability to own the outcome end to end.

For enterprise

Data

The data powering the world’s best AI.

The models at the frontier run on Scale data. Expert-sourced, adversarially reviewed, and delivered at the volume and quality frontier training requires.

Explore Data Engine

Applied everywhere

Real intelligence, in the domains that carry consequence.

  • 01Research
  • 02Life Science
  • 03Medicine
  • 04Energy
  • 05Infrastructure
  • 06Sovereignty
  • 07Robotics
  • 08Defense
  • 09Operations
  • 10Healthcare
  • 11Autonomy
  • 12Logistics

The real cost

Building reliable AI alone is the expensive path.

Going it alone

  • Recruiting and managing domain experts
  • Building annotation and review tooling
  • Standing up evaluation infrastructure
  • Red-teaming and safety review
  • Compliance and data governance
  • 18 months before the first signal

Six workstreams. One uncertain outcome.

Building with Scale

  • Expert contributor network, already sourced
  • Data Engine and tooling on day one
  • Benchmarks the frontier labs already trust
  • Humans in the loop by default
  • Governance built into the pipeline

One partner. A system in production.

Order of magnitude

Frontier training data is not a rounding error.

Typical in-house annotation effort50K tasks / yr
Generalist vendor marketplace2M tasks / yr
Scale Data Engine100M+ tasks / yr

In production

Proven with the organizations that cannot afford to be wrong.

Meta

Accelerating LLM and generative AI programs with frontier-grade training data.

Mayo Clinic

Turning complex patient records into clinical intelligence and reducing physician cognitive load.

CDAO

Converting raw, classified data into actionable intelligence for decision makers.

Physical Intelligence

Fuelling the next generation of robotic foundation models with real-world data.

Center for AI Safety

Benchmarking the frontier of capability with expert-level evaluations.

British Petroleum

Accelerating enterprise AI adoption across global energy operations.

Get started

Our legacy, your success.

Book a demo and see how Scale builds AI systems your organization can actually depend on.

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