Synsk develops neuromorphic systems specifically engineered to address the evolving challenges posed by advanced drone technology. These specialized systems offer enhanced processing capabilities for real-time threat detection and countermeasures. The company focuses on creating next-generation hardware solutions for aerial defense applications.
Funding
Funding not disclosed
Founders
Product
Problem
Modern defense forces face an increasing volume of autonomous and semi-autonomous drones that can evade traditional radar and vision systems. Existing processing architectures are often too power‑intensive and lack the latency required for real‑time threat detection and response.
Solution
Synsk delivers neuromorphic hardware platforms that ingest high‑bandwidth sensor streams (radar, EO/IR, acoustic) and perform event‑driven inference on spiking neural networks. The architecture processes data in a parallel, asynchronous manner, delivering sub‑millisecond decision latency while consuming a fraction of the power of conventional GPUs or CPUs. Integrated firmware maps detection, classification, and tracking algorithms onto programmable neuromorphic cores, enabling on‑board counter‑UAS (C‑UAS) systems to operate continuously in constrained environments. The solution is packaged for direct integration with existing defense avionics and ground‑based C‑UAS suites via standard MIL‑STD interfaces.
Target Audience
Primary customers are military and defense organizations developing counter‑UAS capabilities, as well as aerospace OEMs and defense contractors integrating autonomous threat detection into aircraft, naval vessels, and ground‑based sensor networks.
Features
- Event‑driven spiking neural network accelerator optimized for sensor‑fusion workloads (radar, EO/IR, acoustic)
- Capable of processing >1 billion events per second with end‑to‑end latency <1 ms
- Ultra‑low power consumption (<5 W typical) enabling battery‑operated or edge deployments
- Radiation‑hardened ASIC design compliant with MIL‑STD‑883 for airborne and ground platforms
- Programmable neuromorphic cores supporting custom threat‑classification models via a Python‑based SDK
- Secure, encrypted data link (AES‑256) for real‑time telemetry and command integration
- Standardized MIL‑STD‑1553 and Ethernet interfaces for plug‑and‑play integration with legacy systems