Weave

What Weave Does

Weave is an engineering intelligence and token analytics platform that helps organizations measure and optimize their entire software development lifecycle (SDLC) — from prompt to production. It combines LLMs and ML to analyze every developer action, AI-assisted code contribution, token spend, and deployment, delivering a unified view of engineering productivity, AI ROI, and code quality.

Who It's For & The Problem It Solves

Weave is built for engineering leaders, CTOs, and DevOps teams at startups through Fortune 100 companies who need objective, data-driven insights into how AI coding tools (like Cursor, Claude, Copilot) are actually performing. With over 500 organizations analyzing 2M+ PRs and 25k+ engineers, Weave answers critical questions: Which engineers use AI most effectively? Where is your deployment pipeline getting stuck? What's the real ROI of your AI tool spend?

Key Features & Capabilities

• Engineering Intelligence: Analyze commits, pull requests, code reviews, deploys, and AI telemetry in one pane of glass. Combines novel AI metrics with industry standards (DORA, SPACE) and developer surveys.
• AI Impact Measurement: Track AI-assisted merge rates, code quality scores, and output benchmarks engineer-by-engineer. See how AI usage correlates with productivity gains.
• Token Intelligence: Monitor where every token goes across 50M+ prompts. Benchmark your return on token spend against 1000+ organizations.
• Weave Router: Automatically route prompts to the most cost-efficient model (DeepSeek, GPT, Claude, etc.) without sacrificing speed or quality. The router learns from individual and organizational feedback, delivering up to 1/38th the cost of frontier models.
• Wooly AI Agent: An AI assistant that analyzes all your engineering data and surfaces actionable insights. Available in-app or via MCP (Model Context Protocol).
• Enterprise-Grade Security: SOC 2 Type II certified, GDPR and HIPAA compliant, with SSO (SAML/OIDC), SCIM provisioning, and role-based access.

Typical Workflows & Use Cases

Engineering teams use Weave to benchmark code quality and AI tool effectiveness, identify bottlenecks in CI/CD pipelines, optimize token spend across multiple LLM providers, generate executive-ready reports on engineering output, and make data-driven decisions about which AI coding assistants to adopt or retire. The platform integrates with GitHub, GitLab, and major CI/CD tools, with setup typically completed before end-of-day.

What Sets Weave Apart

Unlike basic token trackers, Weave scores cost, efficiency, and quality — not just consumption. Its prompt router actively saves money by intelligently distributing requests across models. The platform's benchmarking dataset (25k+ engineers, 2M+ PRs) provides context no other tool can match, and Wooly brings conversational AI-powered insights directly into your workflow. Customers like Reducto report +19% increases in measured engineering output within 14 days of onboarding.