Scale

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Plateforme : Web

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AI Data & Analytics
Scale.com is the enterprise-grade infrastructure stack for turning raw, proprietary data into production-ready artificial intelligence. At its heart sits the Scale Data Engine: it ingests text, images, video, audio and 3-D sensor-fusion files, applies ML pre-labeling, routes tasks to a vetted global workforce for expert review, then returns training sets that meet 99.9 % accuracy SLAs. Data-curation tools surface the highest-value examples, RLHF loops align models with business goals, and Nucleus gives ML teams visual diagnostics to iterate fast.
The same engine feeds the Scale GenAI Platform, a secure, model-agnostic environment where customers connect open- or closed-source LLMs (OpenAI, Anthropic, Meta, Cohere), fine-tune them inside their own AWS or Azure VPC, and host scalable, asynchronous AI agents. Advanced RAG tool-chains convert knowledge bases into embeddings, rerank results, and support chunk-level fine-tuning so answers stay factually grounded. Agent Operations captures every user interaction, turning chat logs into continuous learning signals that automatically improve downstream performance.
For defense and intelligence agencies, Scale Donovan provides a top-secret-accredited instance that lets analysts query classified data lakes in natural language, generate briefings, and run multi-step analytic workflows without moving data outside sovereign clouds.
Across automotive, robotics, finance, and government, the platform’s three pillars—Build AI, Apply AI, Evaluate AI—deliver an end-to-end pipeline: data labeling → model fine-tuning → agent deployment → red-team evaluation. Enterprise-grade security (SOC 2, FedRAMP, ITAR) and granular access controls ensure compliance, while REST APIs and an SDK allow developers to embed the entire stack into existing MLOps workflows.
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