Several tech startups — Ethernovia, Upscale AI, PraxisPro, among others, have announced their venture capital funding to bolster innovation and business growth.
Ethernovia Raises Over $90 mn
Ethernovia announced a Series B funding round of over $90 million led by Maverick Silicon, with participation from Socratic Partners, Conduit Capital, CDIB-TEN Capital, and continued support from existing investors including Porsche SE, Qualcomm Ventures, and Fall Line Capital. CEO and co-founder Ramin Shirani said the investment will scale development of high-performance Ethernet-based packet processors that serve as the data backbone for autonomous vehicles, robotics, and intelligent machines. The technology delivers deterministic, real-time data movement for physical AI workloads, reducing system complexity and cost. Ethernovia plans to expand production, deepen software capabilities, and increase customer engagement across automotive, robotics, and industrial markets.
Upscale AI Secures $200 mn
Upscale AI closed an oversubscribed $200M Series A funding round to build the first pure play AI networking company focused on next-generation data center and AI connectivity technology. Investors include Andreessen Horowitz (a16z), Sequoia Capital, SoftBank Vision Fund 2, BlackRock, GIC, Temasek, Lightspeed Venture Partners, and General Catalyst. Founder and CEO Suren Markosian outlined a strategy to expand AI-optimized networking infrastructure and accelerate adoption across cloud and enterprise environments. The investment will fuel R&D for high-performance interconnect solutions, broaden ecosystem partnerships, and enhance customer data throughput and efficiency. The technology focus aims to improve data center performance and support large language models. Consumer benefits include faster, scalable AI workloads and lower operational costs.
PraxisPro Raises $6 mn
PraxisPro secured a $6M seed round led by AlleyCorp with participation from Flybridge, South Loop Ventures, and Zeal Capital Partners to apply AI to life sciences commercial intelligence. Founder and CEO Cam Badger emphasized using small language models to unify fragmented industry data, enhance training, and deliver actionable insights for commercial and medical teams. The strategy focuses on improving therapeutic modeling, automated insights delivery, and accessible self-service AI tools. Technology innovation aims to accelerate decision-making and improve patient outcomes. Consumer benefits include faster, data-driven insights, improved performance execution, and support for cross-functional teams. Growth plans include expanding platform capabilities and adoption across the healthcare ecosystem.
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