Power
Government AI

Enterprise AI
Government AI
Generative AI

With Your Data

Make the best models with the best data. Scale Data Engine powers nearly every major foundation model, and with Scale GenAI Platform, leverages your enterprise data to unlock the value of AI.

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Scale works with Generative AI Companies, U.S. Government Agencies & Enterprises

Frontier AI Research

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

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Leaderboards

SEAL Leaderboards: Expert-Driven Private Evaluations

Research

LLMs Easily Jailbroken as Browser Agents

Research

Multi-Turn Human Jailbreaks on LLM Defenses

Research

Examination of LLM Performance on Grade School Arithmetic

Research

Goal-Conditioned Representations for Reward Models

Research

Measuring and Reducing Malicious Use With Unlearning

AI for the Enterprise

Generative AI Architecture

Whether you’re building your own models or applying foundation models to your business, data remains the biggest bottleneck to AI.

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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.

Enterprise quality layer from data model

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:

Build AI

Scale Data Engine

For AI teams, Scale Data Engine improves your models by improving your data.

RLHF

Powering the next generation of Generative AI

Scale Generative AI Data Engine powers 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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AI Text Generator

Why

Data Labeling

The best quality data to fuel the best performing models

Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.

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Data Curation

Unearth the most valuable data by intelligently managing your dataset

Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.

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Apply AI

Generative AI Applications

Easily Apply AI to your most challenging use cases with pre‑built applications that harness the power of customized LLMs.

Scale Donovan

AI-Powered Decision-Making for Defense

AI-powered decision-making support: plan, analyze, and act in minutes.

Scale GenAI Platform

AI for the Enterprise

Transform your data into customized enterprise-ready Generative AI applications.

LEARN HOW WE SERVE ENTERPRISES LARGE AND SMALL

Case Studies & Resources

We've worked with the world's leading AI teams for years, and delivered more high-quality data than anybody else.

Partner

OpenAI Names Scale as Preferred Fine-Tuning Partner

Partner

Anthropic Partners with Scale to Bring Generative AI to Enterprises

Partner

Meta and Scale Partner to Drive Enterprise Adoption of Llama

Case Studies

Customer Case Study: Cohere

Blog

Scale's SEAL Research Lab Launches Expert-Evaluated LLM Leaderboards

Blog

Why Is ChatGPT So Good?

Dataset

Open Dataset: Ukraine Damage Identification

Blog

Meet Claude: Anthropic’s rival to ChatGPT

Blog

How Much Better Is OpenAI's Newest GPT-3 Model?

Blog

How OpenAI worked with Scale to build InstructGPT

Customers

We have changed the game of AI Evaluations - hear it from Industry Leaders.

Scale’s SEAL Leaderboards are bringing trust to AI; learn from experts why expert-driven private evaluations are so important.

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