Frore Systems vs Together AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Frore Systems hit $1.64B unicorn on $143M Series D ($340M total) for its AirJet solid-state MEMS cooling chip that replaces fans in AI and consumer hardware.
About
Frore Systems is a semiconductor cooling company that has invented AirJet, the world's first solid-state active cooling chip for electronics. Founded in 2020 and headquartered in San Jose, California, Frore developed a fundamentally new approach to thermal management: silicon-based micro-electromechanical systems (MEMS) that move air through ultrasonic vibration with no moving mechanical parts. This technology directly addresses one of the most persistent constraints in AI hardware and consumer electronics—how to remove heat from increasingly dense chips without fans, noise, or mechanical failure points.\n\nFrore's AirJet chips integrate directly into the PCB or device chassis and can be tiled to scale cooling capacity for different thermal envelopes. The technology is applicable across a wide range—from thin laptops and tablets that currently rely on passive cooling to edge AI inference hardware, autonomous vehicles, and data center accelerators. NVIDIA CEO Jensen Huang publicly encouraged Frore to expand into data center applications, a significant market signal. Frore's solid-state approach also offers advantages in reliability, acoustic performance, and form factor that conventional fan-based cooling cannot match.\n\nIn March 2026, Frore Systems closed a $143M Series D, bringing its total funding to $340M and pushing its valuation to $1.64B—joining the unicorn club. The round reflects growing investor confidence that thermal management will be a critical bottleneck as AI chip power densities continue to rise. With Jensen Huang's endorsement and a clear path into data center cooling, Frore is positioned to become a key infrastructure supplier for the next generation of AI hardware deployments.
Open-source AI cloud. $300M ARR (Sep 2025). $3.3B valuation. $533M total raised. Backed by Salesforce, NVIDIA, Kleiner Perkins. Founded by ex-Stanford AI researchers.
About
Together AI was founded in 2022 with a mission to build the leading open-source AI cloud—a platform where developers and enterprises can train, fine-tune, and run inference on open-weight models without the constraints and costs of proprietary AI APIs. The company recognized early that as powerful open-weight models like Llama, Mistral, and FLUX proliferated, there was a massive opportunity to provide optimized infrastructure for running and customizing them. Together AI built a multi-cloud GPU platform with custom inference kernels and distributed training optimizations specifically engineered for open-source models.\n\nTogether AI's platform offers fine-tuning, inference, and training services across a curated library of leading open-weight models, with performance-optimized endpoints that often outperform what users can achieve running models on general-purpose cloud infrastructure. The company targets AI engineers, ML researchers, and enterprises that want flexibility—either for cost reasons, privacy requirements, or the need to customize model behavior through fine-tuning. Together's API design closely mirrors OpenAI's, making migration straightforward. Its pricing is consistently below proprietary model APIs for comparable capability tiers.\n\nTogether AI has achieved $300M in annualized revenue as of September 2025, growing to a $3.3B valuation with $533M in total funding. Investors include NVIDIA, Salesforce, and Kleiner Perkins—a combination that provides both strategic GPU supply chain relationships and enterprise go-to-market leverage. The open-source AI cloud market is a significant and growing segment as enterprises prioritize model flexibility and cost control alongside the maturation of open-weight models that increasingly compete with frontier proprietary models.
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