Snapshot
Continue to About ↓- What it does
- Weave is an engineering intelligence platform that connects to your source-control and CI/CD tooling to score every pull request in estimated expert hours, then combines that with AI-usage attribution, token spend, DORA/SPACE-style delivery metrics and code quality.
More detail
- It also sells Weave Router, a proxy that sits in front of coding agents and routes each request to the cheapest model likely to handle it.
- Best for
- Engineering leaders at roughly 50–2,000-engineer organizations who need a consistent, cross-team measure of shipped output and want to connect AI coding tool spend to merged work.
More detail
- Strongest for teams standardized on GitHub.
- Pricing
- Weave Platform is billed per engineer per month with a free Starter tier (org-level output, AI ROI and process metrics
More detail
- positioned for teams under 5), a Pro tier at $50/engineer/month billed monthly (adds PR drill-down, individual and team stats, the Wooly agent and user permissions), and custom-pri
- Main limitation
- Buyers who want a payroll-savings or individual performance score, since Weave states expert-hour estimates are not hours saved or a monetary return.
More detail
- Teams outside a GitHub-centric stack, or with no AI tool spend to attribute, get materially less from it
- GitLab, Bitbucket and Azure DevOps support is unknown.
- Record
- Static profile
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Weave is an engineering intelligence platform that connects to your source-control and CI/CD tooling to score every pull request in estimated expert hours, then combines that with AI-usage attribution, token spend, DORA/SPACE-style delivery metrics and code quality.
- It also sells Weave Router, a proxy that sits in front of coding agents and routes each request to the cheapest model likely to handle it.
What it helps with
- Cannot tell whether AI coding tools are actually raising output and quality, rather than just activity
- No defensible way to compare output across engineers, teams, repos and languages
- AI token and tool spend cannot be tied to merged PRs or shipped features
- Delivery friction is hard to locate between review, deploy and revert signals
- Recurring questions need a data-team request because no dashboard was built for them
- Coding agents send every turn to an expensive frontier model regardless of task difficulty
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| PR output scoring in expert hours (Silk 1) | Yes | Each pull request is scored as estimated expert effort with plain-language reasoning over intent, complexity, risk and dependencies; scores are estimates, not recorded time |
| AI vs human authorship attribution | Yes | Human and AI contributions are separated on each record at attribution time rather than estimated afterward |
| AI ROI and token spend analysis | Yes | Cost per output hour = attributed AI spend divided by estimated expert hours, using a matched cohort; built on the vendor's own methodology |
| Delivery and quality metrics (DORA/SPACE, reviews, reverts) | Yes | Presented alongside output to show where work stalls; quality and delivery need downstream evidence and observation time |
| Natural-language research agent (Wooly) | Yes | Answers questions over your PRs, reviews, deploys, agent runs and spend with a source link per figure; Pro tier and above |
| Model routing for coding agents (Weave Router) | Yes | Proxy classifies each prompt and routes to a cheaper model, with a single bearer key and per-provider env vars written automatically; vendor benchmarks are first-party |
| GitHub integration | Yes | Anchor integration and the only one named for Enterprise support |
| GitLab, Bitbucket, Azure DevOps integrations | Unknown | Not named anywhere in the supplied evidence |
| SOC 2 Type II, GDPR, HIPAA, SSO/SAML/OIDC, SCIM | Yes | Vendor-claimed compliance and access controls; independent audit evidence not supplied |
| On-premise or air-gapped deployment | Yes | Offered at Enterprise only |
Bot trust
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Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- weaveos.com
Technical profile details
Record ID
adf97de9-70d8-40dc-9f0e-d8e4891458eaCanonical URLhttps://profiles.scribble.network/listing/weave-adf97de9