Thanks for the endorsement, Justin Kinsey. Yes, we at Blumind believe that analog AI inferencing is the way to get to the efficiency needed for AI at the edge. Exciting times ahead for Blumind. Check us out: https://www.Blumind.ai #startup #tinyml #ai #blumind
President at SBT | 18 years of advising leaders in the semiconductor industry and architecting teams from startups to F500 companies
On Tuesday, I launched my annual forecast of the Top 13 AI/ML Startups to Bet On Changing the World. Below are the seven companies that round out that list. Cerebras Systems - It’s easy to bet on a company when success seems like a foregone conclusion, however, no other AI startup I’m aware of has done so much to empower research institutions with access to accelerated computing that advances medical and life sciences than Cerebras. Andrew Feldman his team ARE changing the world and will continue to! Kneron - As a result of CEO 劉峻誠Albert Liu's relationship-building skills, Kenron has developed a breakthrough neural processing unit and are enabling the “Age of AI everywhere”. Albert has built a core team of amazing engineers and he’s systematically built partnerships with leading OEMs in automotive, consumer, and IoT markets. Lemurian Labs - A published mathematician and former Olympian, CEO Jay Dawani's career could have gone many directions but he dedicated himself to overcoming the challenges of developing in the Age of AI. Lemurian solved a 250 year-old math problem that created a breakthrough in computing efficiency, and developers worldwide will benefit. Blumind - While many AI companies are focused on digital architectures, Niraj Mathur and John Gosson started Blumind based on the thesis that analog computing is the key that will unlock the efficiency needed for AI at the edge. Fortune favors the bold and I believe this contrarian approach will lead them there. Rain AI - The Sam Altman-backed startup remained relatively obscure while they focused on developing their in-memory neuromorphic compute technology. However, they’ve recently closed a Series A and hired two chip development veterans from Meta and Apple to help, so I think this will be the year CEO William Passo brings the hard work of Rain’s co-founders to life. Etched - Co-founders Gavin Uberti and Chris Zhu were labelled “Harvard dropouts” when they launched in 2022 but if you listen to Uberti’s insights about AI, you realize that he deserves respect. Etched is making the right moves: raising capital and attracting key technical leaders to join their mission of challenging NVIDIA and making hardware for LLMs actually affordable. Taalas - Having worked with CEO Ljubisa Bajic during Tenstorrent’s formative years, I know his brilliance and believe he can usher in a paradigm shift in hardware built for AI. Taalas is inverting the development flow, using models to define hardware, instead of letting hardware dictate what models can do. This is a novel approach with great promise for increasing AI efficiency. Hailo AI - CEO Orr Danon and his cofounders gained deep insights into the importance of security and defense during their military service. Now, Hailo is building edge AI processors that power intelligent vision systems to accurately identify threats and keep people and buildings safer around the world. #semiconductorindustry #artificialintelligence #startups