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Dual-use aerospace intelligence: satellite radar and deep learning detect floods through clouds, day or night, and deliver early warnings to disaster authorities
Transforms geospatial & hydrological data into actionable flood predictions,helping authorities anticipate inundation identify vulnerable communities and make faster better informed response decisions
Home robots arrive in kitchens they've never seen. Arrival turns one iPhone scan into a physics sim where the robot practices first, making 1,000 GR00T demos in under an hour.
Political content can mislead without being false. BiasBreaker is a browser extension that highlights loaded language, scores neutrality, and reveals bias in real time to aid critical thinking.
Sahayak uses Sentinel-1 SAR satellite imagery and graph topology analysis to identify flood-cut-off settlements and generate prioritized rescue dispatch lists for disaster response teams.
Software that drives an unmanned ground vehicle (UGV) from Point A to Point B across outdoor terrain, autonomously. It needs no GPS and no LiDAR, only a single camera
A neuro-ergonomic engine designed to bypass executive function paralysis by stripping cognitive load and isolating single-micro actions for overstimulated minds.
Video editors waste hours hunting through messy local footage and assets. We built a private, on-device AI assistant that finds and suggests the right clips instantly.
Floods hit 33M Pakistanis in 2022 while clouds blinded satellites. FloodSense-PK uses radar AI to map floods, forecast their spread, and send explainable early warnings.
Sees floods through monsoon clouds with satellite radar AI, compares them to the 2010 disaster, and turns live river data into early warnings for Pakistan’s districts.
Q-Swarm Vision uses OpenCV AI and AWS to help drone swarms detect hazards, navigate dynamic environments, maintain connectivity, and support faster, safer disaster response.
A voice-and-photo assistant that turns civic problems into tracked tickets
Emergency care moves faster than documentation, leaving critical details behind. Resona turns spoken care into a clear, evidence-linked timeline with a handoff report so medics can focus on patients.
One upload shows artists if their work was scraped for AI, can AI copy their style from their name, adds Do Not Train tags, and creates a dated record for disputes.
Turn rough engineering sketches into AI-powered product concepts with local AI, engineering checks, and measurable design experiments.
Fix old photographs and determine what is authentic and what is not. Cold Case marks all the pixels the AI missed a guess on, and there's a signed receipt inside the file.
If you don't like the lighting on one of your photos, don't fret. Our app gives a free, easy and quick way to edit the lighting in a photo well after the fact.
Triage maps flood damage from satellite data and tells rescuers where the flood hit, what broke, who is cut off and who is most likely trapped. It works offline in the field.
Lost something on campus? Post a photo, and the app suggests tags and shows the top 3 likely matches with clear reasons.
An offline surgery copilot. A surgery machines AR HUD and documentation tool designed reduce miscommunication and accidents on surgery table.
A robot sorting cell that knows when it got a pick wrong: it checks every pick with signals its learned model doesn't control, and calls the operator instead of silently miscounting.
CancerScope is a small AI computer for hospital labs. It checks every tissue sample for cancer, puts the most urgent patients first, and writes a draft report, all without data leaving the hospital.
Illness doesn’t care about your plans. We’re building Hachi to warn you before you feel sick, so you can protect the days you can’t afford to lose.
OncoVision takes a glioma patient's real MRI tumor outline and simulates how it could grow in 3D under different treatments. Nemotron Agents then explain the result in plain English.
