Blumind

Blumind

Semiconductor Manufacturing

Transforming the compute paradigm with all-analog, in-memory compute.

About us

Blumind is bringing machine-learning inferencing to the Far Edge, placing it on devices and sensors in all environments. Future applications in Edge AI such as IoT, automotive, Smart Home and Smart City will be crippled by the power and latency constraints of current digital technologies. Blumind’s breakthrough all-analog, in-memory inferencing engine slashes power consumption, latency and silicon area all by orders of magnitude versus digital approaches.

Website
http://blumind.ai
Industry
Semiconductor Manufacturing
Company size
2-10 employees
Type
Privately Held

Employees at Blumind

Updates

  • View organization page for Blumind, graphic

    1,921 followers

    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

    View profile for Justin Kinsey, graphic

    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

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  • View organization page for Blumind, graphic

    1,921 followers

    Navid Congratulations! A massive round of applause to you and the talented Blumind team for this phenomenal accomplishment! Your debut paper at the esteemed IEEE ISCAS 2024 conference marks a significant milestone, showcasing your groundbreaking work on the low-power analog inference engine. This innovative achievement is sure to generate considerable buzz in the field and inspire future advancements. #tinyml #blumind #AI #lowpower #inference #IEEE #semiconductors

    View profile for Navid Rezazadeh, graphic

    Analog Design Engineer

    I had the privilege to represent the Blumind team at the IEEE Circuits and Systems (ISCAS) 2024 conference with our debut paper on an extremely low power analog inference engine based on charge trap transistors and with no ADCs, for keyword spotting application. If that peaks your interest, please see our website at blumind.ai or reach out to us. The paper should be available soon too. PS. congrats to the organizers for a great conference! and what nice people are Singaporeans! might even surpass Canadians if I dare say :)

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  • View organization page for Blumind, graphic

    1,921 followers

    At Blumind we're looking to add ultra-low power AI smarts to MEMS microphones found in ear buds, cell phones, smart watches, and remote controls. By moving the audio detection and keyword inferencing into the microphone, power saving of up to 95% can be achieved, which is critical for 'always-on' wearable applications. At the same time no data is transmitted off the wearable for keyword detection making the solution more secure and further saving transmit power. Blumind's built in 2-second audio buffer and ability to update the AI algorithms in the field make this a low-risk high integration solution for next generation MEMS microphones. When a keyword or critical audio event is detected, or on-demand from the host MCU, the Blumind technology in the MEMS microphone package will provide digital audio output. Smart, ultra-low power, small, efficient it's an elegant solution to always-on audio inferencing and microphone power management. Read more about the solution here: https://lnkd.in/g2N3DnGx #AI #MEMS #Microphone #inference #tinyML #semiconductors

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Funding

Blumind 2 total rounds

Last Round

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