The company had previously already received seed funding from UCLB, UCL Technology Fund and IP Group.
The new funding will support the expansion of its engineering team to bring its product to market.
“We believe RRAM has the potential to become the backbone for the next generation of edge and IoT computers at a time when data hungry intelligent applications are becoming more and more prevalent,” says Intrinsic CEO Mark Dickinson, “companies want to integrate more intelligence into self-contained applications and devices so that they can operate autonomously but this requires a paradigm shift in how memory is employed in these environments. By focussing on simplicity and manufacturability in our approach to RRAM we will open up a whole new array of market opportunities and this funding will play a critical role in helping us to attract highly skilled engineers to build out the commercial potential of Intrinsic.”
Intrinsic was founded in 2017 by Professor Tony Kenyon, Dr Adnan Mehonic and Dr Wing Ng, who research non-volatile memory at UCL’s Department of Electronic and Electrical Engineering.
Pictured are (L-R): Mark Dickinson, Wing Ng, Adnan Mehonic and Tony Kenyon.
Today’s intelligent applications are redefining the role and requirements for memory in computers, as they demand more memory than ever with improved performance and lower power consumption.
Current embedded flash technology cannot fulfil this expectation, because it can no longer be scaled down to integrate in the advanced chips needed for these intelligent applications.
Consequently, this requires the higher cost and power consumption of two-chip solutions, or has no solution at all.
Intrinsic’s technology removes this limitation. It allows the integration of fast, cheap and very low power memory on the same chip as the processors enabling greater AI capabilities using significantly less energy.
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