AI solutions
Built with AI: Smart systems built around what your business actually needs.
AI that reasons over relationships
Most models look at records one at a time. A graph keeps what connects them — who bought what, which part belongs to which assembly, how one document cites another — and lets the model use that structure. The connections are usually where the answer is.
Recommendation and search that follow the links in your data rather than matching keywords, so results hold up when the wording does not.
Entity resolution across systems that disagree with each other: deciding when two records describe the same customer, product or place, and keeping that decision auditable.
Built around the question you actually have. We choose the approach to fit the problem and the systems already in place, rather than delivering something that needs a new platform around it.
Use cases
Real-time room awareness, running entirely on a 15 MB footprint
Real-time gesture detection, built for the smallest hardware
Read more →AI-powered recommendations for a digital art platform
Turning real user data into intelligent, scalable systems that solve concrete business problems.
Sparsity cooperate to design and build a recommendation engine capable of suggesting personalized artwork (paintings, illustrations, and photography) to its users. The goal: help people discover pieces they would love, while giving emerging artists real visibility on the platform.
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