Welcome!
We engineer AI agents with real-time reactive abilities driven by natural language instruction.
—Develop digital twins with egomotion / manipulation capabilities and simulate their interactions with AI agents.
—Build real-time 2D/3D perception agentic systems.
—Learn how to use reinforcement learning to fine-tune domain-specific LLMs, VLMs and VLAs .
—Work with Ray and reinforcement learning libraries to engineer and deploy scalable AI agentic systems.
Products
Platforms
Applications
Remote Sensing
Semantic Segmentation from Hyper-resolution Satellite Imagery.
Quality Control in Manufacturing
Quality control using AI-based anomaly detection.
Technology Demonstrators
AI Tutor (Erica)
GraphRAG-powered AI tutor using knowledge graphs for educational content.
Computer Using Agent
Build a Computer Using Agent that assists users in understanding visual content.
Book
Engineering AI Agents
Comprehensive guide to AI foundations, perception, reasoning, planning, and building intelligent agents.
Courses
CS-GY-6613
Introduction to AI, NYU Tandon (Spring 2026)
CS685
AI for Robotics, NJIT (Spring 2026)
CS681
Deep Learning for Computer Vision, NJIT (Spring 2026)
CS670/370
Introduction to AI, NJIT (Spring 2026)
Media
Subscribe to our YouTube channel to further develop your AI skills.
AI Foundations
Deep neural networks, logical reasoning, planning, MDPs, and reinforcement learning.
AI for Computer Vision
CNNs, scene understanding, vision-language models, and generative AI.
AI for Robotics
Kinematics, state estimation, planning, VLA agents, and simulation.
Blog
Articles & Insights
Articles, tutorials, and insights on AI developments and research.
© 2026 Aegean AI