Synthara
Synthara has developed neuromorphic chips based on analog in-memory computing that execute AI inference directly in memory, eliminating the data transfer bottleneck between processor and DRAM and drastically reducing energy consumption for on-device and edge AI applications.
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Podcast Episode
🎙️ Deep Dive
Daily News – 13 February 2026
Listen to the episodeAbout Synthara
Synthara is a Swiss deeptech startup founded in 2019 as an ETH Zurich spin-off developing neuromorphic chips based on analog in-memory computing for AI inference acceleration. The technology executes computations directly in memory eliminating the Von Neumann bottleneck. Target applications: edge AI, IoT, wearable, automotive. In 2024 it raised $11M.
Market & Clients
Key Customers
IoT device, wearable, automotive and edge computing manufacturers seeking ultra-energy-efficient AI chips for on-device applications.
Geographic Presence
Funding & Investors
Funding Rounds
- 2024 - Round: $11M
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