What is Weaveos?

Weaveos is an AI engineering intelligence platform that provides observability, prompt routing, token intelligence, and code intelligence to measure AI usage across the software development lifecycle.It ingests commits, pull requests, reviews, deployments, prompts and telemetry to surface engineering metrics, DORA-style benchmarks, and AI impact on developer productivity.

The prompt router classifies requests and routes them to cost- and quality-optimized models, enabling model selection and cost optimization while preserving response latency.Token intelligence tracks token consumption and spend per model and team, with benchmarks to inform model usage and ROI analysis.

Code intelligence analyzes AI-assisted merges, code quality, and review workflows to identify bottlenecks and optimize developer throughput.Designed for engineering managers, platform teams, and ML/AI teams, Weave supports multi-model integrations and provides actionable analytics for SDLC optimization and AI usage governance.

Weaveos pricing Freemium

Starter $0/mo

Pro $50/eng/mo

Verify on the official pricing page.

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Weaveos's key features

SDLC observability by ingesting commits, pull requests, reviews, deployments, prompts, and telemetry to surface engineering metrics and benchmarks
Prompt router that classifies requests and routes them to cost- and quality-optimized models while preserving response latency
Token intelligence that tracks token consumption and spend per model and team with benchmarking
Code intelligence analyzing AI-assisted merges, code quality, and review workflows to identify bottlenecks
Support for multi-model integrations and analytics for AI usage governance

Weaveos use cases

Improve engineering velocity and reliability by ingesting commits, PRs, reviews, deployments and telemetry into Weave to surface DORA-style benchmarks, developer productivity metrics and actionable bottlenecks so teams can reduce lead time and change failure rate
Optimize ML inference spend and model quality by using Weave's prompt routing and token consumption analytics to automatically route prompts to the most cost-effective models, enforce token quotas, compare model outputs for quality and lower overall model cost
Strengthen SDLC governance and code intelligence by correlating code changes, reviews and telemetry in Weave to surface hotspots, automate compliance audits, enforce AI usage policies and prioritize fixes based on real user impact