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Weave combines LLMs and domain-specific machine learning to understand engineering work. We understand how much work was done, how good it is, and how AI contributed.
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Weave combines large language models with domain-specific machine learning to help software organizations understand and improve engineering work. Its platform measures how much work teams complete, its quality, and AI’s contribution, bringing together AI usage metrics, DORA and SPACE measures, developer feedback, and delivery data to identify bottlenecks from prompt to production. Teams can examine relationships between AI adoption, output, code quality, and spending, and benchmark token costs and returns against other organizations.
Weave also offers a coding agent router that classifies prompts and directs them to suitable models based on cost, speed, and quality, improving its routing through team feedback. Wooly, its AI engineering agent, analyzes organizational data and answers questions with citations grounded in company records. The platform includes reporting, code intelligence, code quality and review insights, AI impact and usage analytics, agent observability, and developer-finance tools. Weave serves engineering organizations ranging from startups to large enterprises. The company states that it is SOC 2 Type II certified and GDPR- and HIPAA-compliant, with support for SSO and provisioning capabilities.
Brand industry
Computers Electronics and Technology
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