From experience to conversion. Autonomously.
We are building an engine that finds the friction costing you conversions, fixes it, tests the results, and learns continuously. Each phase ships a standalone capability.
Better UX is your conversion engine. Corexi keeps it running.
UX friction is quietly costing you conversions. And nobody is measuring it.
Teams bounce between analytics, heatmaps, session replays, audit tools and spreadsheets. No shared score. No fix execution layer. No feedback loop. AI-assisted development multiplies this gap — products ship 10× faster, but every friction point they ship is a conversion they lose.
Three shifts make this the moment.
Agents ship features in an afternoon. Every one adds UX debt no human reviewed — and a conversion nobody measured.
Continuously watching a live product with AI was uneconomic two years ago. Now it's cheap enough to run on every deploy — and getting cheaper.
Regulations like the European Accessibility Act make WCAG a legal floor. A layer that monitors and files the proof becomes infrastructure.
The takeaway: products now need a self-maintaining layer for their UX — one that catches regressions, ships the fix, and keeps you compliant, on every release.
Two moments. One layer.
Corexi touches your product at both moments that matter: inside the IDE while you're building, and against the live URL once you've shipped. Roadmap phases compound across both — detection becomes testing, testing becomes semi-autonomous fixes, and the loop closes faster every release.
Detect + Recommend
AI scans your product, connects your analytics, and delivers a UX Score with fix-ready code. Find the friction costing you conversions and ship the fix today.
Test + Compare + Predict
Generate fix variants, validate them with synthetic AI users, and predict conversion-killing issues before they hit your metrics. Measurable outcomes, not opinions.
Semi-Autonomous Fixes
Low-risk improvements auto-applied with your approval. High-risk changes stay behind human gates.
Autonomous UX Engine
A closed loop: detect, generate, test, deploy, monitor, learn. Continuously. With you in the driver's seat.
Our principles
Every score, every finding, every recommendation comes with evidence you can verify.
AI proposes, you decide. No changes ship without explicit approval.
Decisions grounded in real user behavior and measurable outcomes.
Including the 15–20% of users who think differently. WCAG is the floor, not the ceiling.