The world isn’t lacking data. It’s drowning in it, siloed, sensitive, and locked behind regulatory red tape. Meanwhile, AI's out here asking for more data than a toddler at a candy shop. So how do you feed the beast without getting burned? Simple. You don’t move the data. You move the math.
Rhino Federated Computing just dropped a $15 million Series A, led by the sharp minds at AlleyCorp and flanked by returning hitters LionBird, Fusion Fund, Arkin Digital Health, Qiming Venture Partners USA, TELUS Global Ventures (TGV), and Keren Maccabi. New faces in the syndicate include Wilson's Bird Capital, Frank Sica, and Gaingels. That takes Rhino’s total raise to over $30 million. Not bad for a team that’s rewriting collaboration in regulated spaces with the precision of a Swiss watch and the swagger of a mixtape drop.
Founded in 2020, Dr. Ittai Dayan and Yuval Baror didn’t set out to build another AI hype buffet. They built infrastructure. Real infrastructure. The kind that lets a biopharma company in Basel, a cancer institute in Maryland, and a hospital in Tel Aviv train AI models together, without breaking laws or leaking patient data. Dr. Dayan, former AI lead at Mass General Brigham and Harvard Medical School researcher, knows healthcare complexity like a surgeon knows a scalpel. Baror brings two decades of building AI systems that actually run, at scale, in production, under pressure.
And what they built? Rhino FCP, a federated computing platform that lets organizations compute on data where it lives. We're talking edge-based compute, GenAI powered data harmonization, k-anonymization, encryption across every layer, and privacy so baked-in you’d think it was born in a GDPR vault. Compliance? Covered. HIPAA, SOC 2, ISO 27001. Tech stack? Compatible with TensorFlow, PyTorch, XGBoost, and even integrated with Flower Labs’ federated learning framework. Deployment? AWS, Azure, GCP, pick your poison.
When Microsoft, Google Cloud, NVIDIA, the National Cancer Institute (NCI), Sheba Medical Center, Tel Hashomer, and Swift Medical are all running plays with your infrastructure, you’re not pitching a product, you’re laying down standards.
This isn’t theory. It’s 15PB+ processed, 50+ production models trained, and a 300% YoY spike in enterprise contracts. Real traction. Real trust.
Rhino’s not just scaling, it's evolving. New playbooks for federated GenAI in drug discovery, real-time fraud detection, and global healthcare collaborations are in motion. By Q4 2025, the Tel Aviv engineering crew doubles. The U.S. commercial team? Tripling. Growth isn’t a goal, it’s an inevitability.
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