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AI AcceleratorsFPGAsEdge Computing

LeapMind

Tokyo, Japan, Japan

About LeapMind

LeapMind was a Tokyo company that developed AI inference technology based on extremely low bit quantization, which shrinks a neural network by storing its numbers with very few bits so it runs on small, low power chips. Its main product was Efficiera, an accelerator design licensed for use in FPGAs or custom chips. In 2022 Maxell Frontier licensed Efficiera for an image recognition product line. LeapMind was founded in 2012, and the company reported total investment of 4.99 billion yen as of May 2021.

LeapMind was founded in 2012 and is based in Tokyo, Japan. It is listed under AI Accelerators, FPGAs, Edge Computing. Reported funding is ¥5B+.

Compute Technologies

  • AI Accelerators
  • FPGAs
  • Edge Computing

What LeapMind works on

AI Accelerators

An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.

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FPGAs

An FPGA, or field-programmable gate array, is a chip whose internal wiring can be changed after it is made. It contains a grid of small logic blocks, memory blocks and programmable connections. Loading a new configuration file, called a bitstream, turns it into a different digital circuit.

See all 32 FPGAs companies →

Edge Computing

Edge computing means processing data close to where it is produced, on a device or a nearby server, instead of sending everything to a distant cloud data center. In chip terms, edge processors are small, low-power chips that run software and AI models inside phones, cameras, cars and sensors.

See all 107 Edge Computing companies →