The Benchmark Crisis Solved by Private Evaluations
Public AI benchmarks have suffered catastrophic contamination, as training web crawls ingest evaluation questions. In response, Scale AI CEO Alexandr Wang introduced SEAL (Safety, Evaluations, and Alignment Leaderboard), an automated private evaluation suite that tests frontier models against novel, human-expert curated test suites.
Evaluation Rigor: SEAL benchmarks utilize blind dynamic adversarial prompts created by PhD domain specialists in medicine, law, advanced mathematics, and cybersecurity.
Enterprise and Defense AI Alignment
Scale AI's Donovan platform and defense data pipelines allow sovereign entities and Fortune 100 enterprises to train, fine-tune, and align multimodal models on classified and proprietary operational data with auditable traceability.