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Where AI meets real-world impact.
We help businesses unlock the potential of Artificial Intelligence through cutting-edge research, rapid prototyping, and deployable proof-of-concept (POC) solutions tailored to your industry
Welcome to Digital Infotek AI R&D Lab
🚀 Our Mission
To accelerate AI adoption by bridging the gap between visionary ideas and tangible results. At DI AI R&D Lab, we specialize in turning innovative concepts into working prototypes that solve real business problems—fast.
🧠 What We Do
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AI Research – From foundational ML algorithms to advanced deep learning and LLM-based solutions
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Proof of Concept (POC) Development – Quick-turnaround prototypes to validate ideas before scale
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Solution Architecture – Scalable design for AI models and pipelines
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Data Strategy – Data collection, engineering, labeling, and model training
🧪 Industry Use Cases & Case Studies
🛍️ Retail
🔍 Market Basket Analysis:
Helped a leading grocery chain uncover frequently bought item combinations, optimizing product placement and cross-sell promotions. Resulted in a 12% boost in average cart value.
📈 Demand Forecasting:
Developed a time-series model to predict weekly demand for top SKUs at regional warehouses. Improved inventory planning accuracy by 30%, reducing stockouts and overstock costs.
🎓 Education
📚 Adaptive Learning Pathways:
Implemented AI to recommend personalized content and exercises based on each student’s performance and attention span, increasing course completion rates by 28%.
🧾 Automated Assignment Feedback:
Used NLP models to provide constructive feedback on essays and coding assignments, freeing up educator time by 40%.
🎓 Student Dropout Prediction:
Built a classification model to identify at-risk students and trigger early interventions, reducing dropout rates in online universities.
💳 FinTech
🧠 Smart Transaction Routing:
Built an AI engine that analyzes real-time cost and success rate across payment gateways, routing transactions to the most optimal backend. Clients saw a 15% reduction in transaction fees.
🕵️ Fraud Detection System:
A hybrid ML model trained to detect anomalies in user behavior and payment patterns. Detected 98.5% of fraudulent activities before completion, saving millions in potential losses.
💡 Recommendation Engine for Bank Selection:
Engine suggests the most cost-efficient acquiring bank based on user profile, location, and transaction history. Reduced backend costs by up to 20% per transaction.
🏥 HealthTech
📋 Medical Summary Bot:
An LLM-based bot that summarizes lengthy patient records into physician-friendly overviews. Reduced time spent on documentation by 50%.
💊 Drug Recommendation Assistant:
AI-powered system that suggests drugs based on symptoms, allergies, and medical history. Integrated into a telehealth platform to enhance decision support for remote doctors.
🧬 Disease Syndrome Recommendation:
Analyzed patient symptoms using NLP and medical databases to recommend likely syndromes, helping doctors with faster differential diagnosis.
✈️ Tourism
🌏 Personalized Travel Recommendation Engine:
Created a smart assistant that recommends things to do in Thailand based on user interests, trip history, and real-time events. Increased booking conversion by 22% on tourism platforms.
📱 Conversational AI for Tour Guides:
Built an interactive bot that provides cultural facts, local food insights, and language assistance to enhance tourists' on-ground experiences.
💼 Why Choose DI AI R&D Lab
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Fast, iterative POC cycles with measurable ROI
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Deep domain expertise across FinTech, Retail, HealthTech, Travel, and EdTech
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Transparent engagement models and IP ownership for your solutions
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Team of researchers, data scientists, and engineers with a passion for innovation