Normalized output measurement
Weave turns engineering activity into normalized units of work and compares output against benchmarks from comparable teams over recent time windows.
Weave is an engineering intelligence platform that measures engineering output and AI contribution across code, reviews, and workflows to help teams track productivity and quality.
Weave is an engineering intelligence platform built for the AI era. It combines LLMs and domain-specific machine learning to measure engineering work in a normalized way, rather than relying on line counts or other simple proxies.
The product is designed to help teams understand how much work is being done by AI versus humans, how AI affects delivery speed, and whether it changes code quality or review throughput. Its interface is centered on output measurement, reporting, and a unified view of code, reviews, AI agents, project work, and communication.
Weave turns engineering activity into normalized units of work and compares output against benchmarks from comparable teams over recent time windows.
The platform separates AI contribution from human contribution so teams can see how much work is done by AI tools versus people.
Weave reports on AI usage, process metrics, quality metrics, AI ROI, and code turnover at the organization level.
The product includes drill-down views for pull requests, individual stats, and team stats in the Pro plan.
Enterprise customers get security and admin controls such as SSO, SCIM provisioning, role-based permissions, audit logs, and custom DPA and terms.
The enterprise page describes on-premise deployment, including full data sovereignty and the option for air-gapped deployment.
Engineering leaders can track output per engineer, compare results against benchmarks, and use the data to review team performance over time.
Teams adopting AI coding tools can measure how much of their output comes from AI versus humans and whether AI changes delivery speed.
Managers can inspect PR-level, individual, and team stats to understand where work is happening and where review activity may be slowing delivery.
Enterprise organizations can use the security, access control, and deployment options to fit internal compliance and infrastructure requirements.
Weave is an engineering intelligence platform that uses LLMs and domain-specific machine learning to measure engineering work. It is built to understand output, AI usage, code quality, and review activity across engineering teams.
The source shows Weave presenting engineering intelligence, AI measurement, engineering performance, research agent, operational reports, and code review intelligence as parts of one workspace. It also says the platform connects code, reviews, AI agents, project management, and communication into one graph.
The pricing page shows a Starter plan at $0, a Pro plan at $50 per engineer, and an Enterprise plan with custom pricing. The source also presents monthly and yearly billing options, with yearly saving 16.67%.
The enterprise page says Weave supports SOC 2 Type II, AICPA Type II, GDPR, and HIPAA compliance, plus SSO, SCIM provisioning, role-based access, audit logs, and on-premise deployment.
The source does not list specific third-party integrations by name. It does say Weave connects code, reviews, AI agents, project management, and communication into one graph.