AdrenaM (branded publicly as Andrenam / AndrenaM) is developing a distributed maritime sensing network that uses machine learning and acoustic sensing to detect, track, and classify maritime traffic from surface to seabed. The company describes the system as a combination of:
- Deployed sensing hardware (described as sonar in a buoy enclosure / sensor payloads)
- Edge and cloud software for beamforming, classification, and delivery of processed intelligence to operational centers
- Integration capability with command-and-control (C2) environments and autonomous maritime systems
The stated workflow is:
1) Deploy sensors from manned or unmanned maritime craft
2) Detect and identify real-time traffic and deliver intelligence to operations centers
3) Dispatch resources to selected areas (autonomously or via conventional tasking)
Key vendor claims: the company describes a hardware design intended for higher-volume manufacturing and a lower-cost replacement model for some legacy systems, combined with machine learning-based classification at edge and cloud tiers. These are vendor claims; independent validation is limited.