Weave Raises $13.5M Series A to Kill Tokenmaxxing with Engineering-Intelligence Platform

Weave, the engineering-intelligence layer for the AI era, led by Adam Cohen and Andrew Churchill, has raised a $13.5 million Series A led by Standard Capital, along with Y Combinator, Moonfire, Burst Capital, IrregEx, and the Agent Fund.

Weave develops machine learning and reinforcement learning models that analyze engineering workflows, helping organizations optimize the use of both AI and human effort. The new funding will support its goal of becoming the system of record for measuring how engineers and AI contribute to business outcomes.

As AI coding tools become widely adopted, many engineering teams are generating more code without a clear way to measure whether it creates real business value. Traditional developer metrics, such as commit counts, lines of code, and frameworks like DORA and SPACE, were designed for human output and can overstate productivity in the AI era. Weave addresses this challenge by helping organizations measure the impact and ROI of AI-assisted engineering based on meaningful business outcomes rather than code volume alone.

Weave provides an engineering intelligence platform that measures both human and AI contributions using a unified framework. By analyzing every pull request, code review, and deployment, the platform gives engineering leaders clear visibility into team performance and the real business impact of AI-assisted software development. Already, Weave analyzes more than 2 million pull requests from 20,000+ engineers across 500+ organizations.

Weave's platform includes tools for measuring engineering productivity, tracking the ROI of AI-assisted development, improving engineers' AI proficiency, and optimizing AI model usage. Its features help organizations evaluate productivity more accurately, understand AI spending, strengthen AI adoption, and reduce inference costs by routing workloads to the most efficient models.

Weave believes traditional metrics like lines of code are no longer effective for measuring engineering performance in the AI era. Instead, the company aims to provide organizations with a unified way to evaluate the business impact and ROI of both human and AI-assisted software development. Investors see this as a critical layer of infrastructure for companies seeking to measure, manage, and optimize growing AI expenditures. 𝐑𝐞𝐦𝐨𝐭𝐞 𝐇𝐢𝐫𝐞 𝐖𝐢𝐭𝐡 𝐔𝐬: 𝐌𝐞𝐧𝐥𝐨 𝐓𝐚𝐥𝐞𝐧𝐭 helps technology companies hire exceptional remote talent from India. Build your team with carefully curated engineers, product leaders, designers, GTM professionals, and more roles. Learn More At: https://www.menlotimes.com/menlo-talent