Archistar AI is a cutting-edge platform that integrates AI with architectural design to support property professionals in making informed decisions. It provides tools for rapidly assessing building permit compliance, visualizing 3D designs, and managing inventory efficiently. Archistar AI's capabilities span from site assessment to iterative design processes, enhancing productivity and ensuring compliance with regulations. The platform is particularly beneficial for discovering development sites and maximizing property value.

FlyPix leverages advanced artificial intelligence to analyze geospatial images, providing capabilities for object detection, localization, tracking, and monitoring. This platform is tailored for users looking to extract valuable insights from satellite and drone imagery without requiring extensive technical knowledge. By automating the identification and analysis of numerous objects within images, FlyPix enhances the efficiency and effectiveness of geospatial data interpretation, making it ideal for various industries including agriculture, urban planning, environmental monitoring, and more.

Laneform utilizes generative AI technology to aid urban planners, developers, and civic leaders in creating conceptual imagery. The platform enables effective community engagement by allowing users to participate in visual surveys. It enhances the planning process by providing realistic renderings and gathering public feedback efficiently.

The Multi-Agent Autonomous Waste Collection System is a research-driven platform that employs multi-agent reinforcement learning to train individual waste-collecting robots to collaborate on route planning. Agents learn to avoid redundant coverage, minimize travel distance, and respond to dynamic waste generation patterns. Built in Python, the system integrates a simulation environment for testing and refining policies before real-world deployment. Users can configure map layouts, waste drop-off points, agent sensors, and reward structures to tailor behavior to specific urban areas or operational constraints.

SmoothRide leverages advanced AI to analyze and improve infrastructure, making it safer and more enjoyable for all. By integrating data from various sources, including citizen feedback and AI-driven insights, the platform helps redesign urban environments to promote safety and livability. This leads to better biking lanes, more pedestrian-friendly areas, and overall improved traffic management. SmoothRide aims to engage communities and local authorities in building future-ready infrastructures that are both functional and pleasant to live in.