Breakthrough AI from Data to Deployment

Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.

Scale works with Generative AI Companies, U.S. Government AgenciesEnterprises

AI for the Enterprise

Full-Stack AI Solutions

Outcomes delivered with world-class data, models, agents, and deployment.

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Enterprise GenAI Platform

The only full-stack GenAI Platform for your Enterprise, powered by the Scale Data Engine.

Fine-Tuning and RLHF

Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.

Foundation Models

Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Google, Meta, Cohere, and more.

Enterprise Data

Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.

GENERATIVE AI PROVIDERS WE PARTNER WITH:

Frontier AI Research

SEAL (Safety, Evaluations, and Alignment Lab) is our research initiative to improve model capabilities through challenging private evaluations and novel research.

Build AI

Powering Frontier AI

Next Generation AI powered by world-class data.

Generative AI

Powering the next generation of Generative AI

Scale Generative AI Data Engine powers many of the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

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Customers

We have changed the game of AI data—hear it from our customers.

From RLHF to data labeling to model evaluation to enterprise apps, learn from experts why Scale is key to any AI strategy.

We partnered with Scale AI to work with Enterprises to adopt Llama and train custom models with their own data. We are excited to collectively make Llama the industry standard and bring the benefits of AI to everyone.

Mark Zuckerberg

Founder and CEO, Meta

Great to see Gemini 1.5 pro top the new Scale SEAL leaderboard for adversarial robustness! Congrats to the entire Gemini team…and the AI safety team for leading the charge on building in robustness to our models as a core capability. Thanks to the Scale AI team for doing the vital work to create these rigorous benchmarks, the field needs more great work on topics like this

Demis Hassabis

CEO, Deepmind

Nice, a serious contender to LMSYS in evaluating LLMs has entered the chat: SEAL Leaderboards. LLM evals are improving, but not so long ago their state was very bleak, with qualitative experience very often disagreeing with quantitative rankings. Good evals are very difficult to build…They have to be comprehensive, representative, of high quality, and measure gradient signal, and there are a lot of details to think through and get right before your qualitative and quantitative assessments line up. …Good evals are unintuitively difficult, highly work-intensive, but quite important, so I'm happy to see more organizations join the effort to do it well.

Andrej Karpathy

Founder, EurekaLabsAI

Scale is doing an amazing job providing high-quality uncontaminated evals, now with code and instruction following!

Noam Brown

Member of Technical Staff, OpenAI

We’re going to need a lot more investment in high-quality evals and benchmarks to help us understand the actual comparative utility of the various models. This new set of private evals and leaderboards from Scale are great to see

Nat Friedman

Entrepreneur and Investor, and Former CEO of GitHub

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