Filter, search, and sort across every public problem on the marketplace.
Sensitive offline networks cannot use cloud LLMs, yet operators still need AI assistance for analysis and documentation. A large language model tool that runs entirely offline...
Defenders struggle to spot which systems, firewalls, or routers have been compromised, allowing attackers to persist undetected. An AI/ML tool could flag indicators of compromise...
Phishing domains proliferate faster than manual blocklists can keep up, exposing users to fraud and credential theft. An AI/ML system to detect phishing domains would flag threats...
Marine engineering tasks involve complex, noisy data that traditional methods struggle to interpret. Leveraging deep learning could improve detection, prediction, and...
Forecasters need a model that not only predicts high-impact rain events but also explains why, so they can act with confidence. Black-box predictions are hard to validate during...
Permanently shadowed lunar regions appear extremely dark in orbiter imagery, hiding terrain detail needed for science and mission planning. Existing images need enhancement to...
People and field officers lack a single trustworthy way to query groundwater information, so guidance is fragmented and slow. An AI chatbot could collate scattered datasets and...
Digital Water Level Recorder (DWLR) data streams in at scale but there is no software to analyze it and raise alarms when readings are anomalous. Manual review misses early signs...
There is no integrated system that fuses satellite data, IoT sensor feeds, and dynamic models to forecast Ganga river water quality in real time. Officials need early warning of...
A research grant program funds AI-enabled digital-twin design of solar-powered atmospheric water harvesting to produce clean, reliable water. Conventional supply in arid regions...
A flagship innovation effort backs indoor vertical farming that uses machine learning and AI to grow large volumes of pesticide-free greens while consuming roughly 95 percent less...
A police force wants technology that anticipates and prevents traffic congestion rather than just reacting to it. Today, jams are often detected only once they have already built...
The water and electricity authority wants to accelerate digital transformation across its operations using technologies such as quantum computing, AI, blockchain, automation, RPA,...
The transport authority wants to use artificial intelligence and big data to manage and personalize customer experience and deliver immediate service improvements. Riders get...
Many manual and frontline jobs involve complex physical tasks but lack real-time digital guidance, which leads to inefficiency, errors, and safety risks. The opportunity is AI...
Traditional agencies scale by adding headcount, which limits how much client work they can deliver profitably. The opportunity is agencies built entirely around AI capabilities...
AI agents loop continuously while calling tools, branching, backtracking, and maintaining context across many steps, which is very different from traditional model inference....
The total market for outsourced services far exceeds software spending, yet most of it is still delivered by people rather than software. The opportunity is companies that...
Modern farming relies heavily on chemical pesticides, creating a cycle where residues contaminate food, water, and soil while pests develop resistance, forcing farmers to spray...