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Weave

Weave is an engineering intelligence platform that unifies AI metrics, DORA, SPACE, and developer feedback to reveal bottlenecks across the software delivery pipeline. The platform attributes human versus AI contributions per record, routes coding agent requests to optimal models, and includes Wooly, a research agent that answers natural-language questions with source-cited results in a median of 4.2 seconds.

Traction 10/10
San Francisco, United States · HQ
Founded 2024255K+ followers
  • Developer Tools
  • Data & Analytics
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 9 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering organizations struggle to identify bottlenecks in their software delivery process, especially as AI-assisted development introduces new variables like token spend, agent runs, and shifting code authorship patterns. Traditional metrics and dashboards fail to connect AI usage with engineering output, quality, and cost, leaving teams unable to determine where AI is helping or hurting delivery.

Solution

Weave provides an engineering intelligence platform that aggregates AI telemetry, DORA, SPACE, and developer feedback into a unified view of the delivery pipeline. The platform automatically maps commits, pull requests, reviews, deploys, agent runs, and token spend to individual engineers, enabling teams to see exactly how AI adoption influences output and code quality. A routing proxy sits between engineering teams and AI providers, redirecting requests to the optimal model based on quality-per-token performance while remaining invisible to the user. For deeper analysis, Wooly acts as a research agent that answers natural-language questions about engineering performance with source-cited results, pulling from pull requests, reviews, agent runs, and billing data.

Target Audience

Engineering leaders, DevOps teams, and platform engineers at startups through Fortune 100 companies who need to optimize AI-assisted software delivery, manage token spend, and identify systemic bottlenecks in their development workflow.

Features

  • Centralized engineering intelligence hub combining AI metrics, DORA, SPACE, and developer feedback
  • AI usage attribution engine that separates human and AI contributions per record, not via estimation
  • Token intelligence and spend benchmarking across a database of 1,000+ organizations
  • Coding Agent Router that automatically detects clients and routes requests to the best quality-per-token model across Anthropic, OpenAI, and Google
  • Wooly research agent with 100% source-cited answers, median response time of 4.2 seconds, and support for Slack, editor, CLI, and workspace interfaces
  • Enterprise deployment options including on-premise and air-gapped infrastructure with SSO/SAML, SCIM, and granular access control
  • Analysis of over 2,000,000 pull requests to validate performance patterns
This profile is AI-generated and may contain inaccuracies.