Scale
FreemiumHigh-quality training data for the AI age.
An enterprise data infrastructure platform that provides high-quality training data, RLHF pipelines, model evaluation, and GenAI tooling for organizations building frontier AI models and agents.
What is it
Scale is a full-stack data and AI platform founded in 2016 that powers the data lifecycle for machine learning. It combines human-in-the-loop data labeling, reinforcement learning from human feedback (RLHF), model evaluation benchmarks, and a generative AI platform for deploying enterprise agents. The platform processes images, video, text, audio, LiDAR, and 3D sensor data.
What it can do
Upload raw data for annotation through self-serve or managed workflows, run RLHF pipelines to align foundation models with human preferences, evaluate models through expert-driven benchmarks and red teaming, fine-tune and deploy generative AI agents on proprietary data, and manage the entire data lifecycle from collection to deployment. The GenAI Platform includes RAG tools, multi-cloud deployment, and observability.
Who is it for
Enterprise AI teams, Fortune 500 companies, foundational model developers, autonomous vehicle and robotics companies, government agencies, and research labs that need production-grade data infrastructure at scale. Not suited for small teams or projects with limited budgets due to complexity and cost.
Key Features
Scale Data Engine – End-to-End Data Lifecycle
Manage data collection, curation, annotation, RLHF, and model evaluation in a single platform. Supports multi-modal data including images, video, text, audio, LiDAR, and 3D sensor fusion. Automated pre-labeling combined with human review maintains accuracy at scale.
Scale Rapid – Self-Serve Data Annotation
Annotate data through a pay-as-you-go interface using Scale's global crowdsourced workforce or your own labelers. Includes 1,000 free labeling units and 10,000 image uploads for experimentation. Ideal for research projects and smaller datasets that do not require enterprise negotiation.
Scale Studio – Enterprise Annotation Workflows
Access enterprise-grade quality controls, SLAs, and dedicated customer operations. Choose between Scale's 240,000-person annotation workforce or bring your own specialists. Supports complex tasks such as 3D sensor fusion, semantic segmentation, and medical imaging annotation.
RLHF and Fine-Tuning – Model Alignment
Run full reinforcement learning from human feedback pipelines including prompt creation, response ranking, reward-model training, and multi-stage review. Scale manages the expert feedback loops needed to align large language models and multimodal systems with human values and safety guidelines.
Use Cases
Autonomous vehicle training data
AV companies process millions of miles of camera, LiDAR, and radar data through Scale Studio. Annotators label objects, lanes, and traffic signs with sub-pixel accuracy to train perception and planning models for self-driving cars.
Foundation model RLHF alignment
AI labs use Scale's RLHF pipelines to collect human preference data on model outputs, train reward models, and iterate on alignment. This process directly improves helpfulness, harmlessness, and honesty in conversational AI systems.
Medical imaging annotation
Healthcare organizations annotate radiology scans, pathology slides, and clinical records to train diagnostic AI. SOC 2 and HIPAA-compliant infrastructure ensures patient data remains secure throughout the labeling process.
Enterprise GenAI agent deployment
Fortune 500 companies connect proprietary knowledge bases to foundation models through the GenAI Platform, fine-tune on internal data, and deploy agents that handle customer service, document analysis, and operational queries with observability built in.
Pricing plans
Frequently Asked Questions
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