Competition continues to increase.
BRN fanbois (vast majority with absolutely no relevant engineering background) constantly claim on social media and stock market forums that Akida is "3-5 years" ahead of all the competition. I wish one of them would explain exactly what they mean by this?
In my view, it is incredibly naïve to believe this is the case in such a dynamic and fast paced sector as Edge AI hardware. The fact so many retail investors blindly believe this may be one factor that has contributed to the inflated share price.
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https://siliconcanals.com/news/startups/eic-selects-32-european-startups/
EIC selects 32 European startups for its Accelerator programme; 7 are from the Netherlands
On Wednesday, the European Innovation Council (EIC) announced the selection of a new set of 32 companies to receive funding (combining equity and grant) under the EIC Accelerator programme. The companies were selected through a highly competitive process that saw a total of 476 applications from across Europe.
The first 2023 EIC Accelerator cut-off, which did not include the EIC Accelerator Challenges calls, saw 159 companies being interviewed by juries of experienced investors and entrepreneurs.
€196M in grants and equity
The 32 selected companies will receive close to €196M in a combination of grants and equity investments, with the equity investments being made through the EIC Fund. The selected companies have a geographical spread spanning 14 countries. 94 per cent of recommended funding is for beneficiaries in EU Member States, of which 17 per cent is for widening country applicants...
INNATERA NANOSYSTEMS
HQ: Rijswijk, South Holland
Recommended finance type: Blended Finance
Innatera is an ultra-efficient neuromorphic processor that mimics the brain’s sensory data processing mechanism. Based on a proprietary analog-mixed signal computing architecture, Innatera’s processors leverage the computing capabilities of spiking neural networks to deliver ground-breaking cognition performance within a narrow power envelope. These devices enable always-on pattern recognition capabilities in sensor-edge applications.
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