Product Development & Engineering Case Studies

Cardinal Peak/FPT engineered an AI-powered IDP solution for a global chemical leader to automate data extraction from 300+ complex Safety Data Sheets daily. By combining advanced computer vision with NLP, we achieved 90+% accuracy and a 90% reduction in manual effort.

Cardinal Peak/FPT engineered a large-scale AI video analytics platform for a Japanese telecommunications conglomerate to secure university campuses nationwide. By developing custom Person Re-identification (Re-ID) models and a hybrid edge-cloud vision architecture, we enabled seamless tracking of individual trajectories across disconnected camera networks at over 20 distributed locations.

Cardinal Peak/FPT engineered a custom AI inventory management solution for a rapidly growing pharmacy chain to scale from 4 to 1,000+ locations. By deploying predictive demand forecasting and an AI semantic search engine, we reduced stock-outs to under 5% and drove a 2.5x increase in online revenue.

Cardinal Peak/FPT engineered a custom computer vision and Edge AI solution for NXP Semiconductors to automate microscopic wafer defect classification. By optimizing 11 deep learning models for ARM-based edge devices, we achieved 95% accuracy and an 80% reduction in labor costs while maintaining under 1-second inspection latency.

Building on a foundation of managing 500+ cloud applications for Covestro, we engineered a secure, scalable ‘Digital Chemist.’ By utilizing a private RAG architecture, scientists can now instantly query 30 years of unstructured data, reducing research cycles by 50%

Cardinal Peak/FPT engineered a high-performance edge-based biometric access system for a global ICT leader to replace slow manual verification. By optimizing facial recognition for low-power edge compute and integrating with physical security hardware, the solution achieved 99%+ accuracy and a frictionless “walk-through” experience for 16,000 employees globally.

A top-tier automotive supplier partnered with us to engineer a deep learning-based vision system for high-precision, reflective components. By overcoming lighting glares and surface reflections that traditional vision systems miss, our custom solution achieved a zero-escape rate for critical defects and a 30% reduction in inspection time.

Cardinal Peak / FPT engineered a cloud-native deep learning pipeline to automate high-content screening of B-cells. By replacing manual microscopy analysis with automated instance segmentation and classification, the solution achieved a 10x increase in throughput and a 30% improvement in identifying usable cells for antibody discovery.

We engineered a custom AI-powered acoustic test fixture for a global appliance manufacturer to automate subjective manual inspections. By utilizing deep learning and advanced DSP to isolate motor defects amidst 90dB factory noise, the system achieved 95% accuracy and a 100% increase in inspection throughput within the first month.

When a global leader in medical diagnostics needed to scale its Quality Control platform across multiple regions, they turned to FPT/Cardinal Peak. We engineered a HIPAA-compliant healthcare data platform on AWS capable of processing thousands of data points per second for real-time analytics.

Explore how our localized mobile app UX design created a culturally immersive fitness and nutrition tracker. We leveraged extensive user research to build an app that felt truly native to Thai consumers, driving engagement and motivation.

We helped a client to achieve a comprehensive digital experience transformation for their online retail banking platform. This case study details our engineering-informed user-centered design approach, including strategic UX design workshops and iterative testing, resulting in a modern, personalized, and highly functional UX.