Data engine workflows
Collect, curate, and annotate data for ML and generative AI workflows, including RLHF, human feedback, red-teaming, and evaluation.
Scale AI
Freemium
Data, evaluations, and enterprise AI tools for reliable production systems
What is Scale AI?
Scale builds data, evaluation, and AI system tooling for organizations that need reliable AI in production. Its site positions the company around the full stack of AI work, from training data and benchmark evaluations to enterprise solutions that connect models with business workflows.
The Data Engine centers on collecting, curating, and annotating training data, including RLHF, red-teaming, and evaluation. The enterprise solutions pages add deployment and operations capabilities, describing a platform for building and running AI systems that can be integrated into real workflows and overseen with human feedback.
What can Scale AI do?
Multi-modal data support
Support annotation across text, documents, natural language processing, transcription, images, video, and 3D sensor fusion.
Expert labeling
Use domain experts and contributor sourcing to produce high-quality labels for training datasets.
Failure analysis and dataset refinement
Find model failures, categorize weak points, and improve datasets to optimize labeling spend and output quality.
Enterprise AI systems
Build, deploy, and operate AI systems for enterprise use, with human feedback loops and production workflows.
Model-flexible platform
Use a model-agnostic stack that can work with frontier models or custom open-source models.
Use Cases
“Train and evaluate models”
Teams building foundation models can source training data, collect human feedback, and run evaluations to improve model behavior and quality.
“Deploy enterprise AI applications”
Enterprises can build agentic or generative AI applications that connect with their internal workflows and are intended for production use.
“Operational decision support”
Organizations in regulated or high-stakes settings can use Scale to support reliable decision-making systems with oversight and auditability.
“Multi-modal annotation programs”
Data and ML teams can annotate text, images, video, audio, and 3D sensor fusion data in one platform rather than managing separate tools.
“Dataset refinement and model iteration”
Product teams can use curated datasets and failure analysis to identify weak spots and improve labeling efficiency over time.
Frequently Asked Questions
What does Scale provide?
Scale describes its products as a way to collect high-quality training data, run evaluations, and build or operate AI systems for enterprise and government use. The Data Engine focuses on annotation, curation, RLHF, red-teaming, and evaluation, while the enterprise solutions page describes building and deploying AI systems in production.
Does Scale offer different product paths?
The pricing page shows an Enterprise option for strategic AI initiatives and a Self-Serve Data Engine option for experimental or research projects. Both include the Data Engine, while the enterprise path also highlights access to the GenAI Platform, enterprise-grade quality and SLAs, and dedicated customer operations support.
What kinds of data can be worked on in the Data Engine?
Scale says its Data Engine supports data annotation by your own workforce or Scale's data management workflows. The product page also mentions supported annotation types for text, document processing, natural language processing, transcription, image, video, and 3D sensor fusion.
Can Scale be used to deploy production AI systems?
The enterprise agentic solutions page says Scale builds, deploys, and operates AI systems, and that agentic solutions are deployed on the Scale Generative AI Platform. It also says the stack is model agnostic and can integrate with frontier models or custom open-source models.
Is pricing published on the site?
The source pages do not provide published pricing numbers. They indicate a demo or consult flow for enterprise offerings and a pay-as-you-go self-serve option for the Data Engine.
Quick Facts
- Category
- AI data platform
- Primary users
- AI labs, enterprises, and governments
- Core workflows
- Data annotation, RLHF, red-teaming, evaluations, deployment
- Pricing
- Demo/consult flow for enterprise; self-serve Data Engine is pay as you go
- Source domain
- scale.com
- Headquarters
- San Francisco, CA
Scale AI Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 79
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