Scale AI

Scale AI is an enterprise AI data and agent platform that manages the full lifecycle of AI systems—collecting and labeling data, fine‑tuning and evaluating models, and deploying agentic applications over your own data and infrastructure.
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Core features
Data Engine for collecting, annotating, curating, and managing large volumes of unstructured data (text, image, video, LiDAR, etc.).
​Generative AI Platform to build, customize, and evaluate LLM applications and agents using enterprise data and any open or closed‑source model.
​RLHF (reinforcement learning from human feedback) workflows and high‑quality human annotation pipelines to improve model behavior and safety.
​Model evaluation and monitoring tools to benchmark, trace, and continuously improve model and agent performance.
​Secure enterprise deployment options, including VPC hosting, SOC‑compliant processes, and support for AWS and Azure environments.
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Key tools it offers
Scale Data Engine for end‑to‑end data lifecycle: collection, labeling, curation, error analysis, and active learning.
​Scale GenAI Platform for deploying RAG pipelines, fine‑tuned models, and enterprise agents that act over internal systems.
​Scale Nucleus for visualizing, filtering, and managing training datasets with quality metrics.
​Scale Rapid for on‑demand, fast‑turnaround data labeling projects.
​Pre‑built AI solutions and decision‑support tools for domains like defense, autonomy, and mapping.
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Benefits for users
For AI & ML teams: Dramatically reduce time spent on data collection, labeling, and evaluation while improving model quality and reliability.
For enterprises & governments: Safely deploy AI agents and generative applications that leverage sensitive internal data with strong governance and security.
For autonomy, robotics & CV companies: Obtain high‑precision annotations and tools specifically tuned for perception, mapping, and sensor fusion workloads.