
FailSim AI is a multi-robot failure analysis platform that helps robotics companies discover why their robots fail before building physical prototypes. Instead of weeks of manual testing, teams can run 1000+ physics-based simulations overnight using PyBullet with real robot specifications (Kuka iiwa7, Franka Panda, UR5, or custom robots). Our platform uses Gemini 3 Flash AI to automatically analyze failure clusters and explain the physical mechanisms causing failures. The system provides interactive features including experiment configuration, real-time 5-frame simulation visualization, failure distribution charts, and click-to-analyze AI insights for individual runs. Built on Vultr infrastructure with a React dashboard, FastAPI backend, and deployed 24/7 at http://80.240.20.49. FailSim AI reduces testing time by 10x, cuts costs by 90%, and enables teams to fix issues in simulation rather than expensive hardware iterations. Perfect for robotics startups, QA teams, and research labs validating designs before real-world deployment.
15 Feb 2026

Historical Place Recognition: Utilize Gemini API's advanced image recognition capabilities to identify historical landmarks from user-uploaded images accurately. This feature ensures users receive precise information about the historical sites they capture, enhancing their cultural exploration experience. Reviews and Ratings Aggregation: Integrate Gemini API to aggregate reviews from various sources related to recognized historical places. By presenting consolidated feedback, users can make informed decisions about visiting these sites, fostering greater trust and satisfaction with the app. Nearby Attractions and Recommendations: Leverage Gemini API to provide users with information about nearby attractions and reviews from tourists.
25 Mar 2024

Claudestay is a game-changing solution to the persistent challenge of swiftly locating and presenting price information for hotels with specific star ratings in designated areas. In today's fast-paced world of hotel accommodation, travelers often find themselves frustrated by the daunting task of sifting through an overwhelming array of options. Claudestay addresses this head-on with the Claude 3 Hotel Locator, a cutting-edge platform that seamlessly integrates artificial intelligence and data aggregation. By harnessing the power of Claude 3's intelligence combined with the SERP API, Claudestay ensures unparalleled accuracy in delivering relevant information to users. Through a meticulous process of data collection, cleaning, and organization, Claudestay creates a lightning-fast vector database utilizing advanced Gemini embeddings models. When users query the system, relevant documents are swiftly extracted from this database using FAISS and processed by the Claude3-opus model. The result is a tailored, user-friendly interface that provides travelers with precisely what they need, precisely when they need it. Gone are the days of tedious internet searches yielding unreliable or incomplete information. With Claudestay, users can confidently make informed decisions about their accommodations, saving time and minimizing frustration, whether planning a business trip or a leisurely getaway.
16 Mar 2024