Research Services
Research-grade methods applied to real-world problems.
Hop develops novel algorithms for specific needs.
At Hop, we turn cutting-edge machine learning research into practical business solutions. We go beyond off-the-shelf models—implementing and extending the latest academic papers to solve complex challenges using our clients' proprietary data. With deep expertise spanning computer vision, NLP, generative AI, and knowledge graphs, our team balances academic rigor with pragmatic execution to build products that actually perform in the real world.
Featured Case Study
Medical Diagnostics R&D
Bostel Technologies sought to develop an ML-powered approach for diagnosing skin cancer, though it was unclear whether ML could derive from dermatoscopic imagery a clinical-grade diagnosis and communicate results appropriately to a clinician. As trusted technical partner, Hop ensured work was rigorous enough to satisfy regulatory requirements and investors, and built production-level infrastructure for the clinical trial process. This partnership resulted in a successful clinical trial, several publications, and multiple issued patents.