Shazura / Shot & Shop Email Format
Embedded Software ProductsCalifornia, United States2-10 Employees
The most powerful Computer Vision with Unsupervised to Self-Supervised Learning. Instead of relying on annotation and human training, our patented FingerprintAI, bio-inspired foundation model, translates every image into a unique fingerprint: deep features unique algorithms of mathematical vectors. - True visual AI - Fine-grained recognition - Operational from day one - No need for hard-to-find AI experts - No need for expensive cloud AI products - Scalable beyond all existing business needs - Equipped to deal with the unpredictable An Edge to Cloud AI Platform deploying the fastest services, with all-in-one capabilities. And just a single image to start. Why us? Businesses need true Visual AI, that scales with data and change. Organizations can get the most accurate image and video recognition with Shazura's AI. It works instantly without the drain on time, human resources, and high-consumption servers. Over ten years ago, we set out to create Computer Vision to mirror the brain-eye connection. Instead of labeling data, we put visuals first. Others were sceptical about unsupervised learning. They've built ML/DL models that rely on extensive human training. Today, businesses and end users are realising their limitations. Interest is shifting towards unsupervised to self-supervised learning. Shazura envisioned it in advance and took the short efficient path. Why now? The enterprise Computer Vision market is booming at an unprecedented pace, faster than ever. Emerging technologies will soon enable computers to perceive the world in unimaginable ways. SSL and all-in-one learning is rapidly becoming a real need. The market demands multiple use cases and capabilities within organizations. Shazura’s true visual AI was designed from its origin to cope with all these needs, providing a unified, industry-agnostic lifecycle. We’re ready. We’ve been doing this for over a decade and provide the most powerful and market-ready Computer Vision.