Weave

Weave (WorkWeave Inc., workweave.dev) builds an engineering-intelligence platform that measures the output of software teams and the AI tools and agents they use. The platform connects to development systems such as GitHub and Jira and applies large language models together with domain-specific machine learning to analyze code, pull requests, reviews, deployments, and project data, classifying work (for example new feature, bug fix, or refactor) and estimating the effort and impact behind each change rather than counting activity such as lines of code, commits, or story points. Outputs are normalized into a single unit intended to be comparable across individuals, teams, programming languages, and organizations, and are combined with established frameworks including DORA and SPACE plus survey data in one dashboard.

Product areas described by the company include engineering intelligence (team and individual output, code quality, cycle time, review throughput, deployment frequency, and bottleneck identification), code intelligence, token intelligence and model observability (tracking AI spend, cost per unit of completed engineering work, and benchmarking return on token spend against other organizations), and a prompt router distributed as an npm package (@workweave/router) that classifies each prompt and routes it to a lower-cost model while claiming to preserve quality and speed, learning from individual and organizational feedback. An agent called Wooly answers questions about a customer's data in-app or via MCP, citing the underlying records. Weave positions its analytics as separating AI-generated work from human-led effort using a two-stage AI pipeline, so leaders can see AI adoption and impact down to the team and individual level.

The company frames its market thesis around ending "tokenmaxxing" — optimizing AI coding tools for token volume rather than meaningful engineering progress — arguing legacy metrics reward code volume over outcomes. Weave states SOC 2 Type II certification with third-party audits, GDPR and HIPAA compliance claims, SSO via SAML and OIDC, SCIM provisioning, and role-based access.

Founding story

WorkWeave was founded by Andrew Churchill and Adam Cohen, whose backgrounds in engineering and software product development shape the platform's focus on data-driven insights for teams working with AI tooling. Adam Cohen serves as Co-Founder and CEO and Andrew Churchill as CTO. The company describes its mission as helping engineers pair with AI to ship faster by first understanding the work engineers do and then pinpointing team-level optimizations.

Business model

Weave sells a software platform to engineering organizations, offering a free entry tier ("Get Started for Free") alongside demo-led and enterprise sales motions. The company states its pricing has always been monthly, with no annual lock-in.

Subscription software sold to engineering organizations; the company states monthly pricing rather than annual contracts. Specific price points and revenue figures are not disclosed in the sources.

Traction

Company and press figures as of mid-2026: 500+ engineering organizations as customers, 2M+ pull requests / human and AI code contributions analyzed, 20,000-25,000 engineers covered, 50M+ prompts analyzed, and 50+ AI tools supported. Named customers include Robinhood, Reducto, PostHog, Telnyx, and Mycroft. Weave cites Reducto reaching a 19% increase in measured engineering output and a first executive report 14 days after install, and states teams using the platform see 19% higher output with proper AI implementation.

Latest developments

On July 28, 2026, Weave announced a $13.5 million Series A led by Standard Capital, with Y Combinator, Moonfire, Burst Capital, IrregEx, and the Agent Fund participating; Dalton Caldwell of Standard Capital commented on the investment. The company said proceeds would fund product development and expanded operations, with the stated goal of becoming the system of record for how engineering teams and AI agents affect business outcomes and development velocity. A April 2026 company blog post details the platform's AI measurement, AI-tooling impact, developer-experience, and dashboard features.