The problem, the AI solution, the result and, when available, the client voice.
An AI call center for patient triage
Robert Gordon University, Healthcare, United Kingdom
Problem
Hand patient triage and appointment scheduling over to an AI-based call center.
Solution
Nurse AI, an agentic call center built with clean architecture and a fully documented codebase.
Result
Weeks to ship a production-grade system, not months
Documented code clean architecture and fully documented codebase
ScaleX built Nurse AI for us: an agentic AI call center for patient triage and appointment scheduling. What impressed me most was the engineering discipline: clean architecture, fully documented codebase, and a delivery pace I've rarely seen. They shipped a production-grade system in weeks, not months.
Prof. Eyad Elyan, Professor, School of Computing, Robert Gordon University, United Kingdom
Quickly launch a consumer app for AI-powered dream interpretation.
Solution
End-to-end design and delivery of the iOS app, with documented components and maintainable code.
Result
App Store app published
Record time from concept to release
ScaleX delivered the Almanam app (AI-powered dream interpretation) from concept to App Store in record time. Every component was well-documented, the code was structured and maintainable, and the team communicated with clarity throughout. A rare combination of speed and quality.
Dr. Mohammed AlShahrani, CEO, Unmanned, Saudi Arabia
University of Prince Mugrin and Alfaisal University, Heritage and tourism, Saudi Arabia
Problem
Al Madinah expects 30 million visitors a year by 2030, yet most see fewer than 10 of its 1,000+ heritage sites.
Solution
A bilingual Arabic-English RAG guide built on 20 authenticated Arabic sources and guided by Islamic scholars. ScaleX Innovation is the industrial sponsor of the project.
AssessX: multi-model grading with OCR for handwritten scripts, 9 proctoring modes and ABET outcome tracking.
Result
70%+ less manual grading workload (testimonial)
10K+ exams auto-graded
ScaleX Innovation's AI auto-grading solution cut our manual grading workload by more than 70%. What used to take our teachers weeks now takes hours, with accuracy matching our best instructors.
Dr. Ahmed M., Dean of Engineering, Alfaisal University
An IP counsel in the technology sector, Intellectual property
Problem
Preparing a complete patent application took three weeks of expert work.
Solution
A multi-agent pipeline handling claims, drawings and prior art search.
Result
3 weeks → 3 days application preparation time
The patent drafting pipeline cut our application preparation time from 3 weeks to 3 days. The multi-agent system handles claims, drawings and prior art search with remarkable thoroughness.