Weave

Name: Weave
Brand: Weave Agency
Rating: 4.5 (2001 reviews)

AI Native

Weave is an engineering analytics platform that uses large language models and domain-specific machine learning to attribute AI versus human contribution in code changes, measure token consumption and AI-assisted workflows, and surface metrics that correlate AI usage with delivery velocity and review processes.

Est 2024|Valuation $104M|28 Ref Customers

LinkedIn 5K|Website|FTEs 22|HQ Los Angeles, CA

01Competitive Landscape

Narrative analysis

- Direct competitors and differentiators - DX emphasizes research-based measurement frameworks and broad reporting capabilities. - LinearB focuses on combining analytics with workflow automation and operational actions. - The vendor's stated differentiator is AI/human attribution and an agent/MCP integration model. - Feature comparison: where Weave may perform relatively well vs. where it may lag - Potential strengths - Explicit focus on AI-tool ROI and AI/human contribution attribution, conditional on the accuracy of the vendor's methods. - Integration of metrics delivery into messaging and agent workflows via Slack and MCP. - Potential limitations - Depth and maturity of non-AI engineering excellence programs (e.g., survey-based developer experience, DORA/SPACE programs, and R&D financial reporting) may be stronger in some competitors. - Pricing comparison - The vendor's published per-engineer Pro pricing is openly listed, which may simplify initial budget calculations compared with some enterprise-only competitors that do not list public entry prices. - Customer testimonials comparing products - Independent comparative testimonials involving Weave were not identified in the accessible sources. - Market share and adoption trends - The vendor lists adoption metrics in marketing materials; independent verification of market share or adoption trends was not found in the sources reviewed.

	Weave (vendor site)	DX (vendor site)	LinearB (vendor site)
Starting Price	Free starter tier; published per-engineer Pro pricing; enterprise custom	Enterprise pricing (not publicly listed)	Public pricing exists; trial available
Typical Use Case	AI-aware engineering analytics focused on estimating AI vs human contribution and AI ROI narratives	Broader engineering intelligence and research-oriented measurement frameworks	Engineering metrics plus workflow automation and operational actions
Key Differentiator	Focus on AI attribution and agent/MCP access for metric queries	Research-driven measurement frameworks and enterprise reporting	Automation-first approach with trial-driven adoption
Key Observability Risk	Limited independent reviews and methodology transparency	Pricing and implementation complexity	Potential developer resistance to management-level tracking

01Competitive Landscape

Narrative analysis

Direct competitors and differentiators
- DX emphasizes research-based measurement frameworks and broad reporting capabilities.
- LinearB focuses on combining analytics with workflow automation and operational actions.
- The vendor's stated differentiator is AI/human attribution and an agent/MCP integration model.
Feature comparison: where Weave may perform relatively well vs. where it may lag
- Potential strengths
  - Explicit focus on AI-tool ROI and AI/human contribution attribution, conditional on the accuracy of the vendor's methods.
  - Integration of metrics delivery into messaging and agent workflows via Slack and MCP.
- Potential limitations
  - Depth and maturity of non-AI engineering excellence programs (e.g., survey-based developer experience, DORA/SPACE programs, and R&D financial reporting) may be stronger in some competitors.
Pricing comparison
- The vendor's published per-engineer Pro pricing is openly listed, which may simplify initial budget calculations compared with some enterprise-only competitors that do not list public entry prices.
Customer testimonials comparing products
- Independent comparative testimonials involving Weave were not identified in the accessible sources.
Market share and adoption trends
- The vendor lists adoption metrics in marketing materials; independent verification of market share or adoption trends was not found in the sources reviewed.

	Weave (vendor site)	DX (vendor site)	LinearB (vendor site)
Starting Price	Free starter tier; published per-engineer Pro pricing; enterprise custom	Enterprise pricing (not publicly listed)	Public pricing exists; trial available
Typical Use Case	AI-aware engineering analytics focused on estimating AI vs human contribution and AI ROI narratives	Broader engineering intelligence and research-oriented measurement frameworks	Engineering metrics plus workflow automation and operational actions
Key Differentiator	Focus on AI attribution and agent/MCP access for metric queries	Research-driven measurement frameworks and enterprise reporting	Automation-first approach with trial-driven adoption
Key Observability Risk	Limited independent reviews and methodology transparency	Pricing and implementation complexity	Potential developer resistance to management-level tracking

Weave

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map