1. Vayyar, 188M raised, first mentioned 2017
  2. Uhnder, 145M raised, first mentioned 2018
  3. Oculii, 76M raised, first mentioned 2017
  4. Echodyne, 64M raised, first mentioned 2017
  5. Arbe Robotics, 55M raised, first mentioned 2017
  1. Arbe Robotics, est. valuation 723M, source: IPO prospect
  2. Oculii, est. valuation 307M, source: M&A prospect
  3. Gapwaves, est. valuation 138M, source: Public company
  4. Neteera, est. valuation 40M, source: Valuation in a private financing round
  • Proprietary hardware. SoC or separated analog and processing parts. RF part of an imaging radar provides an enormous data stream to the processor, so the startups need to develop a processing part and an analog one.
  • Hardware-agnostic. It implies that the benefits are gained by some sort of post-processing. And it does not matter which hardware did the signal acquisition and pre-processing. Imagine a radar sending certain frames every second; each contains a point cloud or a list of objects. The issue is that these points or objects will vary from frame to frame. Their range and angular coordinates will also differ. Analyzing a sequence of frames, a processor can approximate the points or objects to increase the accuracy of the measurements. However, there are serious obstacles to this approach. The processing itself takes time and lengthens the entire data processing pipeline. Due to the complexity of post-processing, it also requires more processing power and leads to a higher unit cost.
  • Complementary parts: antennas of new kinds and materials. These companies are capable of developing the entire radar but focused on the part of it.

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