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Case Studies

Real products. Real outcomes.

A sample of the platforms, AI systems, and products we've shipped — and the measurable impact they've had.

Healthcare

Rebuilding a patient portal used by 400,000+ patients

Meridian Health

Challenge — Meridian Health's legacy patient portal couldn't support new HIPAA-compliant features and was failing under peak load, hurting patient satisfaction scores.

Solution — KYTLIX led a phased rebuild onto a HIPAA-ready cloud architecture, migrating patient data with zero downtime and introducing a modern scheduling and messaging experience.

Next.jsPostgreSQLAWSFHIR

99.95%

Portal uptime post-launch

38%

Increase in patient satisfaction score

6 mo

From kickoff to full migration

Logistics

A demand-forecasting model that cut inventory costs 22%

Northbridge Logistics

Challenge — Northbridge was over-stocking and under-stocking across 40+ distribution hubs, driven by manual, spreadsheet-based forecasting.

Solution — Our AI team built a demand-forecasting model trained on historical shipment and seasonal data, integrated directly into their existing WMS.

Pythonscikit-learnKafkaAzure

22%

Reduction in inventory costs

17%

Fewer stockout incidents

1 qtr

Time to measurable ROI

Finance

Launching a compliant digital banking experience in 5 months

Fintura Bank

Challenge — Fintura needed a modern digital banking front-end that met strict regulatory and security requirements without slowing down their release cadence.

Solution — KYTLIX embedded a dedicated team alongside Fintura's engineers, building a component-driven banking UI on top of their existing core banking APIs.

React NativeNode.jsPostgreSQLAWS

5 mo

Concept to production launch

0

Critical security findings at audit

31%

Increase in mobile engagement

Retail

Personalization engine that lifted conversion by 19%

OrbitMart

Challenge — OrbitMart's e-commerce platform showed the same experience to every visitor, leaving significant on-site conversion opportunity untapped.

Solution — We designed and shipped a real-time personalization engine that tailors product recommendations and on-site messaging per visitor segment.

Next.jsPythonRedisGCP

19%

Lift in on-site conversion

2.4x

Increase in email click-through

8 wks

From design to first A/B test

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