Scale offers a full‑stack platform that supplies high‑quality annotated data, RLHF pipelines, and automated red‑team evaluations to turn advanced AI models into reliable, production‑ready systems. Its Generative AI Data Engine and agentic solutions framework enable large enterprises and government agencies to build, deploy, and continuously monitor AI applications with built‑in safety, compliance, and performance controls.
Funding
$14.3B raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+17Founders
Product
Problem
Enterprises and governments often struggle to turn powerful AI models into reliable, production‑ready systems because they lack high‑quality, diverse training data, rigorous evaluation pipelines, and integrated workflows that ensure safety, compliance, and continuous improvement.
Solution
Scale provides a full‑stack platform that delivers high‑quality annotated data, reinforcement‑learning‑from‑human‑feedback (RLHF), and automated red‑team evaluations to train and refine advanced AI models. Its Generative AI Data Engine combines automated data generation with expert curation to produce domain‑specific datasets at scale. The platform also offers end‑to‑end tools for building, deploying, and operating agentic AI solutions, integrating model monitoring, safety guardrails, and compliance controls directly into enterprise workflows. By handling data collection, model evaluation, and operational oversight, Scale enables customers to move from prototype to reliable production AI faster and with lower risk.
Target Audience
Primary customers are large enterprises and government agencies that need to develop, deploy, and maintain high‑stakes AI applications in sectors such as finance, healthcare, energy, defense, and media.
Features
- Scalable Data Engine for collecting, curating, and annotating text, image, video, and 3D sensor data with domain‑expert reviewers
- RLHF pipelines that incorporate human preferences to fine‑tune generative models for specific business objectives
- Automated red‑team and safety evaluations that test models against thousands of adversarial prompts and bias scenarios
- Agentic Solutions framework that embeds autonomous agents into enterprise processes, providing multi‑step workflow execution and real‑time feedback loops
- Model‑agnostic integration layer supporting any frontier or custom open‑source model, with APIs for rapid deployment into existing systems
- Enterprise‑grade security and compliance features, including data privacy controls, audit trails, and FIPS‑compatible encryption
- Real‑time ops dashboard offering visibility into data pipelines, model performance metrics, and incident alerts for continuous monitoring