For all enquiries. A line on the platform or data you have, the question you want answered, and any constraints on where data may go is enough to start.
Registered office
Oravont Systems LLPC-43, Sector 39
Noida 201303, Uttar Pradesh, India
What to write about
Underwater domain awareness. Passive-sonar systems that detect, classify and re-identify vessels from their radiated noise, with DEMON features, SKANN classification and acoustic fingerprints. See Underwater domain awareness.
Deep learning for underwater acoustics. SKANN, a raw-waveform selective-kernel acoustic neural network; metric-learned hull embeddings; physics-grounded synthetic training data; and evaluation protocols designed to be hard to flatter. See Deep learning.
Underwater acoustic stealth engineering. Underwater radiated noise, target strength, acoustic interference to own sonar, airborne noise, and shock and vibration control for submarines and ships, with the SSR-Sim, Dhvanyakalan, ABNContour and SMS-Suite tools. See Acoustic stealth.
Research and open data. Academic collaboration and joint proposals; the DEMON-Analysis toolkit, the synthetic dataset and the preprint artefacts are on Tools and data, and published work on Research.
How to start. Recordings you already hold can be sent for analysis, or the analysis can run as a system entirely on your own infrastructure and data, with no data egress. SSR-Sim works from line plans and structural data, before any CAD model exists. The four engineering tools, SSR-Sim, Dhvanyakalan, ABNContour and SMS-Suite, are made available to defence organisations, shipyards and research institutions on enquiry.