Motorq Accelerated 10,000+ Pull Request Reviews with AI
Pull requests reviewed
On-Prem Deployed
Problem
Before CodeAnt AI, reviews were manual and reviewer-dependent. Critical issues surfaced late, increasing rework and slowing releases.
Solution
Now, every line of code meets Motorq’s standards for quality, security, and performance — before it’s merged, right inside GitHub Enterprise.
Founded
2017
Stage
Series B
Industry
Automotive
Seats Bought
50+ Developers
About Motorq
Motorq is a fast-rising fleet-tech company revolutionizing connected vehicle analytics. Serving major automakers and fleet operators worldwide, their platform ingests rich OEM telematics data to deliver actionable insights — no hardware dongles required. With product, data science, and software teams across fleet, OEM and mobility segments, Motorq’s development cycle must balance cutting-edge innovation with high standards of reliability, security, and scalability.
How CodeAnt AI Transformed Motorq
AI becomes part of the existing workflow, not an extra layer added on top.
The Challenge Before AI
Manual reviews couldn’t keep up with Motorq’s release velocity.
First feedback often arrived hours later, breaking developer flow
Review quality varied by reviewer experience
Senior engineers spent time on repetitive checks instead of logic
Zero-comment PRs made it hard to enforce coding standards
This created review debt — slowing releases and reducing confidence in code quality.
The AI Breakthrough
Near-Instant Review Response
10,969 Pull Requests reviewed with CodeAnt inside GitHub
Before: Feedback took hours → broke developer momentum. After: AI comments appear within minutes, keeping engineers in flow.
Deployment
Environment: On-prem, fully hosted inside Motorq’s private GitHub Enterprise deployment
No external API calls and no code leaves the environment
CodeAnt participates directly inside PR conversation threads, no new tools to switch into
Aligned with Motorq’s internal InfoSec and compliance policies
Standards-Aligned, Consistent Feedback
CodeAnt enforces team-wide coding patterns — independent of who reviews. Every PR gets the same depth and precision.
Reduced Load on Senior Engineers
CodeAnt filters out noise — formatting, known anti-patterns, and smells — so senior reviewers focus only on critical insights.
Stronger Review Culture
Fewer zero-comment PRs
More issues resolved before human review
Cleaner commits entering the main branch
Reviewing shifted from gatekeeping → collaboration and refinement.
Business Outcomes
Faster Review Cycles: Code merged and deployed faster
Higher Code Confidence: Issues caught before human review
Reduced Review Overhead: Senior engineers reclaimed hours each week
Standardized Quality: Every PR met Motorq’s internal standards
Motorq achieved faster, safer, and more consistent reviews across teams.
