Where Data Meets Enlightenment

Intelligent Systems for Healthcare & Enterprise

We build AI-powered platforms for medical institutions, secure on-premise AI systems, and high-performance database solutions. From patient care automation to treatment analytics, we deliver research-driven technology that transforms operations.

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What We Do

Engineering Excellence Through Research

We bridge the gap between academic research and production-ready systems, delivering measurable performance improvements.

Healthcare AI Platforms

Comprehensive patient care systems with AI chatbots, ML-powered rehabilitation scheduling, treatment effect analysis using SHAP values, and automated patient communication tools for medical institutions.

Secure On-Premise AI

Custom AI infrastructure for healthcare and enterprises with strict data security requirements. Deploy LLMs locally without exposing sensitive patient or business data to external services.

Database Performance

Comprehensive benchmarking and optimization across SQL, NoSQL, and graph databases. We identify bottlenecks and implement solutions delivering up to 41.5x speedup.

Systems Engineering

End-to-end development of data processing pipelines, containerized testing environments, and production infrastructure optimized for your specific workloads.

Research Collaboration

Academic partnerships for cutting-edge research in database systems, machine learning applications, and scientific computing across multiple domains.

Scientific Software

Development of specialized analysis software for scientific research, including image processing, data classification, and automated measurement systems.

41.5x
Query Performance Improvement
5+
Database Systems Benchmarked
1M+
Knowledge Graph Triples Tested
100%
On-Premise Secure AI
Featured Projects

Our Work

From healthcare AI platforms to database research, we deliver solutions that make a measurable impact.

Healthcare AI Platform Dashboard

AI-Powered Patient Aftercare Platform

2026 Healthcare Technology

A comprehensive online platform for a rehabilitation clinic specializing in lower back pain treatment. The system dramatically reduces physician workload while improving patient outcomes through intelligent automation.

Key Features:

  • AI Rehabilitation Scheduling: ML-powered automatic schedule creation based on patient characteristics and historical treatment outcomes
  • Treatment Effect Analysis: Machine learning models with SHAP value analysis to predict improvement rates and quantify treatment effectiveness
  • Medical AI Chatbot: On-premise LLM deployment for 24/7 patient guidance on exercises, stretches, and home treatment—without exposing sensitive data
  • Automated Patient Communication: Scheduled check-ins, bulk messaging, and response tracking integrated with hospital databases
  • Patient Community Platform: Bulletin boards and messaging to reduce isolation and support mental health recovery
Healthcare AI LLM Chatbot SHAP Analysis Patient Care Rehabilitation
Graph Query Performance Visualization

Graph Query Performance Study

2026 Database Systems

A rigorous comparison of Regular Path Query (RPQ) execution across MySQL 8.0, MySQL 5.7, MariaDB 10.3, MongoDB 6.0, and Neo4j 5.x using the YAGO2s knowledge graph dataset with over 1 million triples.

Key finding: Native graph databases achieve 41.5x speedup over modern SQL implementations for complex path traversal queries, demonstrating the critical importance of choosing the right database architecture for graph-oriented workloads.

Neo4j MySQL MongoDB YAGO2s RPQ
Collaborations

Partners & Clients

Working with healthcare institutions and leading universities.

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