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Analysis
AddedJul 3, 2026
UpdatedJul 4, 2026
Weave

Weave

Pre seed

Engineering intelligence platform measuring human and AI coding contributions across development tools for engineering organizations.

HQ
Hollywood, CA, US
Founded
2024
Accelerator
Y Combinator logoY CombinatorW25
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Contents

  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths
  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths

Product Overview

Weave's platform connects code, reviews, AI agents, project management, and communication tools into a single graph. It quantifies engineering work into normalized units benchmarked against comparable teams, measures AI versus human contribution, and surfaces insights through dashboards.

The product is SOC 2 Type II certified, supports SSO and SCIM provisioning, and is deployed either as a managed cloud service or on-premise. In 2026, Weave added Weave Router, a drop-in proxy that routes each model request to the lowest-cost provider that can answer at parity with a frontier model.

Market Outlook

As AI coding assistants become standard in engineering organizations, leaders need reliable ways to measure the return on AI tooling investments and the actual output of their teams.

Weave targets this shift by providing an objective, AI-powered understanding of engineering effort and impact, moving beyond DORA and SPACE process metrics to measure the substance of the work itself.

Competitive Advantages

Weave differentiates itself from process-centric engineering analytics tools by using domain-specific machine learning and large language models to analyze the content of every pull request. This produces a standardized unit of effort that is not skewed by lines of code or AI-generated volume.

The platform attributes output to human engineers and AI coding agents, integrates with GitHub, Cursor, Jira, Slack, and other tools, and offers code-review intelligence and operational reports. Competitors such as GetDX, Waydev, Sleuth, LinearB, and Jellyfish primarily measure delivery pipeline metrics rather than the substance and complexity of the work itself.