Scale AI

Scale AI Platform Overview

Scale AI provides enterprise-grade data and GenAI tooling designed to accelerate the development and deployment of AI applications. It centers on high-quality data, robust evaluation, and end-to-end platform capabilities that integrate with leading foundation models. The offering spans data engineering, labeling, model fine-tuning, RLHF, evaluation, and a full-stack GenAI platform for enterprise needs, with strong emphasis on security, governance, and data-first AI workflows.

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How it Works

1. Data Engine for Training: Ingests and curates enterprise data to create high-quality training and evaluation datasets that feed foundation models.
2. Data Labeling: Provides scalable data labeling leveraging AI-assisted labeling with human-in-the-loop for accuracy and throughput.
3. Model Fine-Tuning & RLHF: Enables adapting best-in-class foundation models to business-specific data and objectives through supervised fine-tuning and reinforcement learning from human feedback.
4. GenAI Platform: A full-stack platform to build, deploy, and manage enterprise-grade Generative AI applications on top of customized data and models.
5. Evaluation & SEAL Leaderboards: Private, expert-driven evaluations to benchmark model performance, safety, and alignment; results feed model improvements and governance decisions.
6. Security & Compliance: Designed for government, enterprise, and public sector use with robust security, privacy, and governance features.

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Core Capabilities

• Data Engine powers data-driven AI with enterprise data integration for model training and evaluation.
• Data Labeling combines AI-assisted labeling with human-in-the-loop to deliver high-quality labeled data at scale.
• Data Curation helps identify and prioritize the most valuable data for labeling and model improvement.
• Fine-Tuning & RLHF to tailor foundation models to business needs and data.
• GenAI Platform provides end-to-end tooling to deploy enterprise GenAI applications.
• Evaluation & SEAL Leaderboards offer expert-driven, private evaluations to ensure model safety and reliability.
• Pre-built integration with leading AI models (OpenAI, Google, Meta, Cohere, etc.) and support for both open-source and closed-source foundations.
• Enterprise Data Capabilities ensure data remains the differentiator for long-term AI success.
• Lifecycle support from data preparation to deployment, monitoring, and governance.

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Safety, Security & Compliance

• Expert-led evaluations to ensure alignment, safety, and robust performance.
• Privacy-conscious handling of enterprise data with governance controls.
• Compliance-ready workflows suitable for government and public sector use cases.

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Target Users & Use Cases

• Enterprise AI teams building custom generative AI applications.
• Government, Federal, Public Sector and Defense organizations needing secure, governed AI workflows.
• Organizations needing reliable data-centric AI workflows, including labeling, data curation, and rigorous model evaluation.

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Why Scale AI

Scale AI emphasizes data quality as the foundation for AI excellence, combining data engineering, labeling, evaluation, and full-stack GenAI tooling to accelerate AI adoption in enterprise settings. Partners include major AI providers, and SEAL Leaderboards help enterprises compare and improve models with trusted benchmarks.

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Features

• Data Engine for enterprise data integration and model training foundation
• Data Labeling with human-in-the-loop and AI assistance
• Data Curation to maximize labeling value and data usefulness
• Fine-Tuning and RLHF for adapting models to business data
• Full-stack GenAI Platform for building enterprise AI apps
• SEAL Leaderboards for expert-driven private evaluations
• Integration with leading foundation models (OpenAI, Google, Meta, Cohere, etc.)
• Enterprise-grade security, governance, and compliance readiness
• End-to-end AI lifecycle support: data, model, evaluation, deployment, monitoring
• Prebuilt applications and use-case templates for rapid deployment