Building Intelligent Systems for the Web

We develop expert systems, recommender systems, and autonomous agents that operate at scale across distributed web infrastructure.

Core Systems

Expert Systems

Knowledge-based inference engines that encode domain expertise into rule-based architectures. Our systems provide diagnostic capabilities, decision support, and automated reasoning for complex problem domains.

Recommender Systems

Collaborative filtering and content-based recommendation engines built on deep learning architectures. We implement hybrid models that balance personalization with discovery, optimized for real-time web deployment.

Autonomous Agents

Multi-agent systems designed for distributed task execution and coordination. Our agents employ reinforcement learning and planning algorithms to achieve goals in dynamic web environments.

Technology Stack

Machine Learning Infrastructure

We utilize modern deep learning frameworks and distributed training systems to build scalable AI models. Our infrastructure supports both batch and real-time inference with low-latency requirements.

Knowledge Representation

Our expert systems leverage semantic networks, ontologies, and probabilistic graphical models to represent and reason over complex knowledge bases with uncertainty handling.

Agent Architectures

Built on asynchronous message-passing frameworks, our autonomous agents implement belief-desire-intention models and multi-objective optimization for coordinated action in web ecosystems.

Research Focus

Our work centers on the intersection of classical AI techniques and modern machine learning. We focus on interpretable models, efficient inference algorithms, and robust deployment strategies for production web environments.

Explainable AI

Developing transparent decision-making systems that provide human-interpretable reasoning traces and confidence metrics.

Online Learning

Adaptive systems that continuously improve from user interactions while maintaining stability and avoiding catastrophic forgetting.

Distributed Intelligence

Coordination protocols for multi-agent systems operating across geographically distributed web infrastructure.

Get in Touch

We collaborate with organizations looking to integrate advanced AI capabilities into their web platforms.