AI dominated funding in the third quarter of 2026, with two inference companies each announcing $1 billion in funding. But with the data center buildout driving insatiable demand for memory, investors also rewarded startups with alternatives to costly, capacity-limited HBM. Some are building on commodity DRAM or holding models in on-chip SRAM, while others stack memory directly onto compute.

Data movement at all levels of the stack remains a critical bottleneck, too. Interconnect technologies, networking chips, and photonics were the most active areas of the quarter, with startups tackling the problem with diverse approaches ranging from manufacturing-ready co-packaged optics, millimeter-wave RF signals over plastic waveguides, and ferroelectric glass modulators to optical couplers printed directly onto chips and coherent DSPs designed specifically for AI optics.

Nearly $7.5 billion of the quarter’s total was directed to just 22 startups that raised $100 million or more, including eight that saw investors return within roughly a year, some more than doubling the previous round. Plus, agentic EDA and AI-generated analog layout, small chip fabs, diamond-based defect inspection, large-area nanoimprint lithography, and memory-safe microcontrollers feature in this look at 80 companies that collectively raised over $8.5 billion in Q3 2026.

0M in funding led by Fidelity Management & Research Company with participation from Aliya Capital Partners , Atreides Management , Artisan Partners , Battery Ventures , Diagonal Capital , Intel Capital , Key1 Capital , Maverick Capital , Sienna Venture Capital , T. Rowe Price , Union Group , and Valor Equity Partners . Xsight Labs designs fully programmable data processing units (DPUs) and Ethernet switches for hyperscale, edge, and AI data center networks.

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