Private companySeries A

SynSense

Component

synsense.ai

Neuromorphic 'sense + compute' company: event-driven ultra-low-power chips plus iniVation event-cameras for always-on edge sensing.

SynSense develops neuromorphic — event-driven, spiking — silicon for sensing and inference at the edge, plus the event-based vision hardware it acquired with iniVation in 2024. Its chips process signals only when the input changes, which the company says yields 10–100x lower latency and 100–1000x lower power than frame-based processing, in a compact form factor suited to always-on sensing. The stack covers both sides of 'sense + compute': event-cameras with high dynamic range and microsecond latency, and ultralow-power processors for always-on vision, audio and biosignal workloads. Target applications include AR/VR interaction, smart security and monitoring, livestock and agriculture sensing, industrial monitoring and smart vehicles; SynSense also points at brain-computer interfaces. It holds close to 300 patents.

Research mapping

Physical AI / Perception & Sensing (L7) / Component

Evidence boundary

Original analysis and independent corroboration remain under development. Commercial scale and durable technical advantage remain under review.

Full-stack event-based sensing plus spiking compute (and ~300 patents) — the co-design of sensor and processor is what makes sub-milliwatt always-on vision possible.

Sensor-and-silicon layer for always-on perception: supplies the event camera and the neuromorphic processor together, so integrators get a matched pair rather than stitching two vendors.

Industrial Automation — OEMs

Dr. Qiao Ning — Co-founder — Chinese Academy of Sciences researcher; co-founded SynSense in 2017

Prof. Giacomo Indiveri — Co-founder — Director of the Institute of Neuroinformatics (INI), Zurich; neuromorphic circuit designer

Source
Last round
Series A

Mapped funds and investors

Direct relationships supported by published evidence.

Reported holdings as-of

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Disclosed investment history

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Showing up to four relationships in each group. ETF weights describe the fund’s portfolio, not ownership of this company. Private investment history does not establish current ownership.

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