Releases

Scale and Google Cloud published a joint architecture for deploying Scale’s GenAI Portfolio on Google Cloud with Gemini Enterprise, identity, governance, and cloud infrastructure.

Scale’s board appointed former Google Cloud and Illumina executive Francis deSouza as chief executive officer, effective August 10, 2026.

Scale partnered with Carahsoft to make its GenAI Platform, test-and-evaluation capabilities, and deployment services available through U.S. government procurement schedules.

Scale marked its tenth anniversary, reporting more than 700 customers served, 15 billion human decisions applied to model development, work across 150 languages and locales, and over $1 billion paid to contributors.

Scale completed SWE Atlas by adding Test Writing and Refactoring alongside Codebase QnA, producing a 284-task software-engineering evaluation suite.

The U.S. defense department increased the potential ceiling of its Scale production agreement from $100 million to $500 million following rapid adoption across military components.

Scale signed a memorandum of understanding with the U.S. Department of Energy to explore AI-ready scientific data infrastructure, evaluations, and model applications for the Genesis Mission.

Scale acquired ICG Solutions and its LUX real-time streaming-data analytics platform to expand its national-security AI stack; ICG initially remained a wholly owned subsidiary.

Scale Labs updated MultiChallenge with a stronger judge model, refined tasks, and refreshed results to improve agreement with expert ratings.

Scale integrated its Physical AI Data Engine with Universal Robots’ AI Trainer to collect production-grade visual and force-feedback data on industrial robots.

Scale Labs introduced repository-grounded rubrics for evaluating and reranking candidate software patches without executing tests.

Scale Labs introduced VeRO, a reproducible harness using versioned agent snapshots, controlled budgets, structured traces, and reference procedures.

Scale expanded SEAL into Scale Labs, a broader research organization focused on evaluation, agents, multimodal systems, post-training, deployments, and oversight.

Scale launched SWE Atlas, initially releasing Codebase QnA to evaluate how coding agents investigate and reason about real software systems.

Scale launched high-fidelity simulated environments for training and testing agents on tool use, computer use, coding, and professional workflows.

Scale researchers released LHAW, a framework for generating underspecified long-horizon tasks and evaluating whether agents clarify ambiguity and recover performance.

Scale reported that 2025 was its strongest financial year, with more than $1 billion in new business, profitable data operations, and accelerating applications and government work.

Qatar’s Ministry of Communications and Information Technology launched the Arabic-first ALIF AI fluency program with Scale AI for government professionals.

Scale announced expansion across New York, London, Washington, D.C., Doha, and St. Louis to support enterprise, government, and international growth.

Scale released MCP Atlas to evaluate how well AI agents combine tools across real Model Context Protocol servers.

Scale expanded the SEAL Leaderboards into agent evaluation, beginning with SWE-Bench Pro and MCP Atlas.

Scale released a harder, contamination-resistant benchmark using real and commercial repositories to measure software agents on complex multi-file engineering tasks.

Scale updated its mission to developing reliable AI systems for the world’s most important decisions, reflecting its expansion from data infrastructure into applications and evaluation.

The U.S. defense department awarded Scale a five-year production agreement with an initial $100 million ceiling for data operations, computer vision, GenAI, and Donovan capabilities.

Scale reduced approximately 200 employee roles and contractor assignments after determining it had expanded its generative-AI capacity too quickly, while prioritizing enterprise, government, and international growth.