What Is Scale AI's SEAL Research Lab?

SEAL (Safety, Evaluations, and Alignment Lab) is Scale AI's research arm that develops private, expert-driven benchmarks and leaderboards to evaluate LLM capabilities, safety, and alignment. It has produced benchmarks like Humanity's Last Exam, EnigmaEval, and MultiChallenge.

How Does Scale AI's Data Engine Support RLHF?

Scale's Data Engine manages the full reinforcement learning from human feedback workflow, including prompt creation, response ranking, annotation quality auditing, and multi-stage review pipelines. It supports both internal workforce and Scale-managed annotator pools.

What Is Dialect In Scale AI's GenAI Platform?

Dialect is an infrastructure layer within Scale GenAI Platform that converts fragmented enterprise data into an AI-native semantic foundation. It enables autonomous agents to access institutional knowledge and continuously improve through an Enterprise Intelligence Loop driven by expert feedback.

Which Foundation Models Does Scale AI Integrate With?

Scale integrates with both open-source and closed-source models from providers including Meta (Llama), Google (Gemini), OpenAI, Anthropic, and Cohere. Users can fine-tune any supported model on their proprietary enterprise data within the platform.

Can Scale AI Be Deployed In Private Cloud Environments?

Yes. Scale GenAI Platform supports fully private, single-tenant VPC deployments on both Microsoft Azure and Amazon Web Services. It also supports classified network deployment for government use cases, as demonstrated with the Donovan LLM project.

Scale AI

Name: Scale AI
Availability: InStock
Author: Scale AI, Inc.

by Scale AI, Inc. • San Francisco, California, USA • Founded 2016

Enterprise Data Platform Powering Frontier AI Models and Agents

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What is Scale AI?

Scale AI is a full-stack data infrastructure platform that powers many of the world's most advanced AI models. Built for AI labs, enterprises, and government agencies, Scale provides high-quality data labeling, RLHF pipelines, model evaluation, and agentic deployment solutions.

Its Data Engine and GenAI Platform (SGP) support fine-tuning of foundation models using proprietary enterprise data. Scale also runs the SEAL research lab, which develops expert-driven LLM benchmarks like Humanity's Last Exam. Major clients include Meta, OpenAI, Google, and the U.S. Department of Defense.

Scale AI Demo Video

Key Features 8

Enterprise Data Engine for High-Quality AI Training Data and Annotation

RLHF and Fine-Tuning to Customize Foundation Models for Business Needs

SEAL Research Lab for Expert-Driven AI Model Evaluations and Benchmarks

Full-Stack GenAI Platform to Build, Deploy, and Scale AI Agents

Dialect Intelligence Layer That Captures Enterprise Expert Reasoning for AI

Donovan Platform for Mission-Critical Public Sector and Defense AI Agents

AI Red Teaming to Test Model Safety, Vulnerabilities, and Alignment

Multi-Cloud Deployment With SOC2, FedRAMP, and HIPAA Compliance Support

Who Is Scale AI For

1 AI Researchers Training Foundation Models

2 Machine Learning Engineers Needing Labeled Datasets

3 Enterprise AI Teams Deploying GenAI Applications

4 Government Defense and Intelligence Analysts

5 Data Scientists Running Model Evaluations

6 Autonomous Vehicle Perception Engineers

Pros & Cons

Pros 4 benefits

Trusted By Frontier AI Labs
Government-Grade Security Certifications
Full-Stack Data-To-Deployment Pipeline
Expert-Driven Evaluation Benchmarks

Cons 3 limitations

No Transparent Enterprise Pricing
Limited Self-Serve Feature Access
Steep Onboarding For Non-Technical Teams

Frequently Asked Questions

5 questions

Trusted Reviews

Verified Platforms

5.0 G2 (1) 3.2 Trustpilot (1)

What's New

biweekly

Multi-Stage Auditing and Annotator Task Editing 25.3.0

Added two-stage auditing workflow, annotator ability to edit completed tasks before audit, version history tracking, and aggregate metrics across evaluation runs.

Apr 8

Flexible UI Evaluations and Multi-Metric Selection 25.2.0

Users can now configure and run fully flexible evaluations through the UI, upload flexible datasets and outputs, and select multiple evaluation metrics like BLEU, ROUGE, METEOR, and Cosine Similarity.

Feb 28

View all updates

User Base

400+ enterprise clients

Active Users

Security & Privacy

US, EU, Global (customer-configurable VPC)

SOC 2 Type II HIPAA Compliant ISO 27001:2022 EU-U.S. Data Privacy Framework UK Extension to EU-U.S. DPF Swiss-U.S. Data Privacy Framework

Annual penetration testing Single-tenant VPC private deployments (Azure & AWS) Role-based access control (Admin, Manager, Annotator) PII attestation and data handling controls Classified network deployment capability PagerDuty healthcheck alerting for service downtime