Customers

Engineering teams that unblocked their review queue.

Style-aware inline review running before human reviewers arrive. The PR queue moves. The senior engineers go back to architecture.

30+

Engineering teams running Replixa in production across logistics, fintech, and data platform companies

18%

Median PR cycle time reduction across customers in first 30 days, measured from PR open to merge

4,200+

Inline review interactions logged — each one refining the style graph for the next PR in that repo

Customer Profiles

Three orgs. Three different bottlenecks. One pattern.

Korrova Systems

Logistics technology — 450 engineers, TypeScript + Go monorepo, 12 product teams

Headcount doubled in 18 months without a corresponding increase in senior reviewer capacity. Median cycle time reached 72 hours. Engineers were opening PRs and moving to other tasks to avoid context-switching back every time a review comment landed.

72h → 18h median PR cycle time, first month
Delphic Labs

Data platform company — 180 engineers, Python + Rust microservices, strict code ownership model

Three staff engineers were mandatory reviewers on every platform-layer PR. No automated check could substitute for their pattern knowledge. The six surrounding product teams were blocked whenever those three were in meetings, on PTO, or simply at review capacity.

Mandatory senior review required on 40% fewer PRs after 60 days
Traxwell Inc.

Fintech — 300 engineers, Java + Kotlin services, SOC 2 audit trail requirements

A dedicated security engineer was a named approver on all API-boundary PRs per compliance checklist. That engineer reviewed ~90 PRs per month solo. Average time-to-security-approval was 5 days; false-positive pattern flags were eroding reviewer trust in automated tooling.

Security review time cut by 40%; false positive rate below 3%
“

We cut median PR cycle time from 72 hours to under 18 in the first month. The style graph surfaced naming conventions and service boundary patterns that had existed implicitly for three years — but were never in any linter config because nobody had written them down.

Engineering Manager

Korrova Systems — 450-engineer logistics tech

“

Our platform engineers are no longer the mandatory last gate on every PR. Replixa runs the style pass — they review architecture and correctness. Two sprints in, the velocity difference was visible in DORA metrics.

Head of Platform

Canverge Technologies — data infrastructure team

“

Our compliance process required a named security approver on every API-boundary PR. That person was the bottleneck. Replixa's security pattern detection now handles the first pass — the human approver only sees escalated findings. We're at same-day approval for 70% of those PRs now.

VP of Engineering

Traxwell Inc. — 300-engineer fintech

“

We'd tried generic linting bots before. They flagged things that were correct by our conventions and missed things that weren't — because they had no idea what our conventions were. The style graph is the difference. By week two we had tuned the confidence threshold down to near-zero false positives on our Python services.

Staff Engineer

Delphic Labs — 180-engineer data platform

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