NYC-based Precision Neuroscience, which develops brain-computer interfaces, raised a $250M Series D at a $1B+ valuation, taking its total funding to $430M
THE SO WHAT
BCI is graduating from science project to capital program—$430M raised and a $1B+ valuation means regulators, hospitals, and device OEMs now have to treat this as an oncoming category, not a curiosity. If you touch neuro, rehab, or high-end wearables, start mapping where invasive or semi-invasive interfaces could wedge into your product or care pathways over the next 3–7 years.
READ THE SOURCE
MORE FROM THE WIRE
Deep & Emerging TechRamona Optics, which makes microscopes that use AI to take and analyze large volumes of images of samples, raised a $25M Series A
AI-native instrumentation is becoming its own category—Ramona is effectively turning microscopes into high-throughput data factories for life sciences. If you run a lab-heavy business, assume your competitors will pair wet lab with automated imaging and model-driven analysis, and plan your capex and data infra accordingly.
Deep & Emerging TechA new nuclear age for the US? X-energy reveals more on its 214,000-square-foot Tennessee plant with 5-metric-ton uranium capacity
Domestic TRISO fuel at 5-metric-ton capacity is a bet that advanced reactors will move from slideware to steel in the 2030s—this is fuel-cycle infrastructure catching up to the reactor hype. If your roadmap assumes cheap, reliable power for AI or heavy industry, start tracking which regions are actually adding next-gen nuclear capacity, not just megawatts on cloud slides.
Deep & Emerging TechFrom Geisha Face Paint to Servers, Sakai Chemical Emerges as AI Linchpin
The fact that a fine-powder supplier for geisha makeup is now critical to AI server manufacturing underlines how weird and fragile the upstream materials stack has become. If you're planning multi-year AI infra buildout, map exposure to specialty chemicals and powders—not just GPUs and power.
Deep & Emerging TechFlsun T1 3D printer review
Desktop printers pushing 1,000 mm/s on a large Delta volume compress the prototype–iterate loop for hardware teams. If you’re still outsourcing most early prints, recheck the math on in-house capacity for fixtures, jigs, and quick-and-dirty form factors.