Scale AI

What Scale AI does

Scale AI's mission is to develop reliable AI systems for the world’s most important decisions. They provide high-quality data and full-stack technologies that power the world’s leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through Scale Labs, they test models with rigorous benchmarks and novel research to ensure breakthroughs translate into trustworthy systems. Scale powers advanced LLMs and generative models through RLHF, data generation, and model evaluation.

Products

• Scale Generative AI Platform (SGP)A platform that provides tools to build, deploy, and continuously improve agents that reason over data, run reliably at scale, and get smarter with use. It offers data connection, agent building and execution, evaluation and monitoring, and continuous learning and improvement. It works agnostically across existing tools, frameworks, and models, supporting various data sources, cloud providers (AWS, Azure, GCP), and major models (OpenAI, Google, Meta, Mistral).
• Scale Data EngineEnables rapid creation of tailored, high-quality datasets curated by vetted subject matter experts to train advanced AI models. It combines automation and human intelligence for data collection, curation, and annotation.
• Scale LabsA facility for testing models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. It conducts expert-level evaluations to benchmark the frontier of AI capability.

Key capabilities

• High-quality training data, annotations, and RLHF
• Rigorous model evaluations and red-teaming
• Full-stack AI systems for building, deploying, and overseeing AI
• Connects to enterprise data from various sources (Confluence, SharePoint, S3)
• Deploys securely within customer's own VPC (AWS, Azure, GCP)
• Supports testing, fine-tuning, and deployment across major models (OpenAI, Google, Meta, Mistral)
• Agent execution and operation for long-running, async, and multi-agent workflows
• Full audit trail, source-cited outputs, and enterprise-specific oversight for agents
• Captures behavioral data and encodes expert judgment for continuous agent improvement
• Scale AI Dialect for decision mapping and encoding expert judgments
• Real-time visibility into data collection and curation (Ops Center for Quality Control)
• Access to a global network of hand-picked experts (linguists, coders)
• Proactive model weakness identification, including targeted red-teaming
• Upholding privacy, fairness, transparency, and ethics in responsible development

Use cases

• Accelerating LLM and Generative AI development
• Reducing physician cognitive load by turning complex patient records into clinical intelligence
• Powering interactive AI experiences for journalism
• Accelerating real estate development revenue and operations
• Fuelling robotic foundation models with real-world training data
• Enabling scalable, real-world Physical AI for industrial robotics
• Benchmarking AI capability with expert-level evaluations
• Accelerating enterprise AI adoption across global energy operations
• Enabling smarter, more personalized learning experiences for students and educators
• Building agentic AI that drives EBITDA gains across PE portfolio companies
• Turning raw, classified data into actionable intelligence
• Developing computer vision applications (object detection, tracking, event detection)
• Building interactive and trustworthy AI solutions for media publishing (e.g., TIME AI for Person of the Year)
• Generating text and audio summaries, voice interactions, and translations
• Conversational chat experiences with custom guardrails
• Training advanced AI models with high-quality datasets
• Developing AI applications for public sector partners (Department of Defense, Intelligence Community, Federal Civilian agencies)

AI approach

Scale AI provides high-quality data and full-stack technologies to power AI models. They offer a Generative AI Platform for building, evaluating, and controlling AI agents, and a Data Engine for collecting, curating, and annotating datasets. They also conduct rigorous model evaluations and research through Scale Labs. Their approach involves combining machine learning-powered pre-labeling and active tooling with human review for data annotation, and they support various models including OpenAI, Google, Meta, and Mistral.

Tech named: Computer Vision, Data Annotation, Sensor Fusion, Machine Learning, Autonomous Driving, APIs, Ground Truth Data, Training Data, Deep Learning, Robotics, Drones, NLP, Document Processing, RLHF, Generative AI, LLMs, Convolutional Neural Network (CNN), LiDAR, RADAR

Industries served

• Research
• Life Science
• Medicine
• Energy
• Infrastructure
• Robotics
• Defense
• Healthcare
• Logistics
• Media and Publishing
• Real Estate
• Industrial Robotics
• Education
• Private Equity
• Public Sector
• Software Development

What it says sets it apart

• 90% of the world's leading generative AI model builders are powered by Scale
• 10 years powering the world's biggest AI breakthroughs, from autonomous vehicles to frontier models
• Leaderboards run private benchmarks for ambitious AI companies
• Proprietary frontier research, world's best data, and deployment experience
• Unified foundation for agent lifecycle, from data pipelines to live agent monitoring
• Agnostic operation across current tools, frameworks, and models (no vendor lock-in)
• Structures data through optimized bespoke pipelines, not generic ones
• Agents built and tested against specific enterprise standards (workflows, rules, definition of good)
• Manages full complexity of running agents at enterprise scale
• Continuously improves agent performance over time by capturing behavioral data and encoding expert judgment
• Scale AI Dialect as a decision map that encodes expert judgments
• Deep experience providing data underpinning the most advanced LLMs
• Global network of vetted subject matter experts for data curation
• Commitment to security embedded at every level of the platform
• Partners with government, industry, and research community to define and elevate standards for secure and responsible AI

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.