Full-Time
Updated on 8/11/2026
ML-powered engineering analytics for output optimization
$100k - $140k/yr
San Francisco, CA, USA
In Person
Five days in the San Francisco office are required.
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What does this company do? Weave provides a machine learning powered analytics platform for engineering teams that measures and optimizes engineering output. How does its product work? It collects and analyzes engineering data, turns it into actionable insights, and helps teams make data-driven decisions. It also benchmarks performance against peers to identify improvement opportunities. Access is provided via subscription or license, delivering ongoing analytics capabilities. How is this company different from its competitors? It combines high-accuracy, fast evaluation of engineering outputs with peer benchmarking to translate complex data into practical guidance, enabling quicker, targeted productivity improvements compared with traditional methods. What is this company's goal? To help organizations boost productivity and efficiency of their engineering work by providing data-driven insights and benchmarks that point to concrete areas for improvement.
Company Size
N/A
Company Stage
Series A
Total Funding
$13.6M
Headquarters
Oakland, California
Founded
2024
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Weave raises $13.5M in Series A funding. July 29, 2026 Weave, a San Francisco, CA-based provider of an engineering-intelligence layer service solution, raised $13.5M in Series A financing. The round was led by Standard Capital with participation from YCombinator, Moonfire, Burst Capital, IrregEx, and the Agent Fund. The company intends to use the funds to expand operations and its development efforts. Led by CEO Adam Cohen, Weave is a provider of an engineering-intelligence platform that enables organizations to objectively measure both human and AI engineering output. Their solution normalizes all human and AI engineering work into an objective unit, attributes pull requests, reviews, and deployments, measures AI ROI, shows engineers how to improve their ability to use agents, and offers a prompt router to optimize model costs without sacrificing quality or speed. They currently analyze 2M+ human and AI code contributions across 20,000+ engineers at 500+ companies, including Robinhood, Reducto, PostHog, and Telnyx. Don't just read the news. Own the data. Stop manually tracking deals. Access this round and over 100 others this week - in our structured Master Database (XML) + Weekly Intelligence PDF. [Access FinSMEs Intelligence Hub] 29/07/2026