Explainable and Affordable AI
Problems with Current AI
- 🧠 Deep learning is a black box – unexplainable
- 💸 Deep learning models are costly to create and manage
- 🗄️ Huge storage and compute costs, MLOps is critical
- ⏱️ Time consuming: training and retraining takes long
Black Box Nature
Time Consuming
Storage & Compute
High Model Cost
Why Alpes AI?
Fastest training
O(N log N) = quick cycles.
Incremental learning
Adapts to new data without full retraining.
Explainable
Transparent, mathematically grounded AI.
Low cost
20x smaller model size translates to major savings.
Our Technology
KE Sieve
A proprietary patented algorithm with O(N log N) training time. Non-iterative, explainable, fast, and CPU/GPU compatible.
Our Offerings
Data Intelligence
Solutions for recommendation engines, summarisation, fraud detection and more.
Language Processing
Conversational AI, agent assistance, next-word prediction, and summarisation.
Image Processing
Background removal, cartoonizing, object detection, video tagging, and more.
Process Automation
Slide-deck generation, customer classification, dynamic product combos, and more.
Case Studies
Natural Language Processing
Problem: Improve agent productivity with answer suggestions. Solution: Processed 650+ tickets using NLP + KE Sieve. Result: Achieved 90% accuracy.
Image Processing
Problem: Background removal from photos. Solution: Used pixel-level object detection and white-out.
Automation
Problem: Auto-generate presentations from content. Solution: Modular workflow including charts, icons, titles.
Fraud Detection
Problem: Identify fraudulent transactions. Solution: Engineered features, trained optimized models.
AI Models
➜ Annual Reports Search System 🔎
Our Annual Reports Search System leverages the power of KE Sieve, an advanced AI algorithm, to enable fast, accurate, and intelligent search within annual report documents. Instead of manually scanning through lengthy PDF reports, users can now enter a relevant query (e.g., "revenue growth 2023" or "ESG initiatives") and instantly retrieve the most relevant sections or paragraphs from the reports.
Try NowPeople
Dr Kumar Eswaran
CEO
Leading the research in Alpes, Dr. Kumar carries 37 years of research experience in the application of computers in the areas of industrial image processing, AI and pattern recognition, electromagnetics, fluid mechanics, and structural mechanics. He has used many numerical techniques such as Finite Element Methods (FEM), Finite Differences, Boundary Integral Equation (BIE), and minimization methods to solve various problems
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