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Exceeds AI

Prove AI is improving engineering output and code quality

Exceeds AI analyzes commit-level activity to show how AI affects adoption, quality, and ROI across your engineering team. It helps leaders see where AI is working, where rework is rising, and what to do next.

Paid
Enterprise
Web
Integrations
B2B
For Developers
For Teams
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About

What It Is

Exceeds AI is an engineering analytics platform focused on measuring the impact of AI use in software teams. It sits closer to code intelligence and team reporting than to a coding assistant: the product analyzes commits, repositories, and related work data to show adoption, productivity, quality, and ROI trends.

It is built for engineering leaders, managers, and enterprises that want to prove whether AI tools are actually helping teams ship faster and with better quality. According to the site, setup is quick: you connect GitHub or GitLab and can get insights in about 15 minutes, with additional integrations for tools like Jira, Linear, Google Drive, Slack, Sheets, and HRIS on higher tiers.

What To Know

The product appears strongest as an analytics and reporting layer for teams already using AI in development. It surfaces dashboards, per-engineer profiles, and advisor-style recommendations grounded in commit and ticketing data. That makes it useful for operational visibility, but it is not a coding agent that writes or ships code for you.

The site says insights are extracted and code is never stored, which is a helpful security signal for enterprise buyers. Pricing is published, but the scope of AI methods and underlying models is not clearly disclosed on the page. It also is not a fit if you want a general-purpose agent, local-only tool, or a hands-on coding assistant rather than measurement and reporting for engineering orgs.

Key Features
Commit-level AI analytics for code contributions
Actionable dashboards for adoption, quality, and ROI
Individual engineer profiles with strengths and growth areas
AI Advisor that explains issues and suggests next steps
15-minute setup via GitHub or GitLab connection
Use Cases
Engineering leaders evaluating whether AI coding tools are improving productivity
Managers tracking AI adoption and rework across teams and repositories
Enterprises building reports on AI ROI for engineering organizations
Agenticness: Guided Assistant 💬

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Mar 31, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free: 30-day Pilot plan; 1 seat, up to 10 contributors analyzed, 1 repository, standard dashboards, GitHub/GitLab integrations, Entra and Google Workspace access, and 10 AI insight credits per month.
  • Pro ($49/manager/month): Early Partner Pricing; 50 seats, unlimited* contributors and repositories, expanded dashboards, GitHub/GitLab integrations, Entra and Google Workspace access, 50 AI insight credits per seat per month, and optional Jira/Linear integration add-on.
  • Enterprise: Contact sales; custom seats, unlimited* contributors and repositories, standard and advanced ROI/team dashboards, GitHub/GitLab/Linear/Jira/Google Drive/HRIS integrations, Entra/Google Workspace/Okta/SSO access, AI insight credits included with BYOK, and dedicated support.

*Fair use limits noted on the site for the paid tiers.

Details
AddedMarch 31, 2026
RefreshedMarch 31, 2026
Quick Facts
DeploymentCloud-hosted
AutonomyCopilot (human-in-loop)
Model supportSingle model
Open sourceNo
Team supportEnterprise
Pricing modelFreemium
Interfaceweb, api
Sources
Last updated March 31, 2026
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