How Impact Analytics Cut Review Time to Seconds and Scaled Continuous Delivery with CodeAnt AI

4,500+

PRs Reviewed with AI

1.2 Million+

Lines of Code Scanned

60%+

Code Faster Delivery Velocity

Problem

Impact Analytics’ 200+ Bitbucket repos required thousands of manual, fragmented PR reviews, slowing down feedback loops and affecting visibility.

Solution

CodeAnt AI automated every PR review inside Bitbucket, cutting manual effort, enforcing quality gates, and delivering instant visibility.

Subscription

Code Review | Enterprise

Code Security | Enterprise

Code Quality | Enterprise

Founded

2015

Stage

Series D

Industry

AI-native SaaS

Seats Bought

300 Developers

About Impact Analytics

Founded in 2015, Impact Analytics is a global AI-powered data and analytics company delivering intelligent insights to enterprises across retail, finance, and manufacturing.

With distributed backend teams and a microservices-heavy architecture, they needed a scalable way to ensure code quality, security, and velocity — without slowing innovation.

We cut review time from hours to seconds, identified critical vulnerabilities early, and achieved continuous delivery velocity — all inside Bitbucket.

Mrinal

Engineering Leadership, Impact Analytics

We cut review time from hours to seconds, identified critical vulnerabilities early, and achieved continuous delivery velocity — all inside Bitbucket.

Mrinal

Engineering Leadership, Impact Analytics

We cut review time from hours to seconds, identified critical vulnerabilities early, and achieved continuous delivery velocity — all inside Bitbucket.

Mrinal

Engineering Leadership, Impact Analytics

How CodeAnt AI Transformed Impact Analytics

Impact Analytics replaced multiple disconnected tools with one AI Code Health Platform inside Bitbucket — delivering real-time reviews, security enforcement, and performance visibility.

The Challenge Before AI

Before CodeAnt AI, Impact Analytics struggled with:

Slow reviews across 200+ repositories.
Late detection of vulnerabilities, secrets, and misconfigurations.
Fragmented tools for quality, security, and metrics.
No unified view of team productivity or delivery speed.
LOC-based pricing driving unpredictable costs.

The AI Breakthrough

CodeAnt AI embedded directly into Bitbucket pipelines and PR checks — instantly transforming review speed and code visibility:

4,500+ PRs auto-reviewed across 202 repositories in 30 days.
1.2 Million lines of code analyzed with deep context.
10,000+ AI comments surfaced, automating repetitive checks.
900+ total vulnerabilities detected and resolved before production.
First comment time: consistently under 30 seconds.
150+ deployments in 30 days — top-quartile velocity benchmark.

One Platform for Complete Code Health

Today, Impact Analytics runs its entire Bitbucket setup on CodeAnt AI, combining code review, quality enforcement, and security scanning into a single platform.

The result: