Capabilities, In the Field
Real Clairwave outputs across the world's key waters — each capability, shown working.
Physics-based sonar performance, transmission loss, and source-level modeling — anywhere on Earth, live and up to 10 days ahead. Real bathymetry, forecast sound-speed fields, hydrophone-validated.
Dual-use: civil ocean-noise & defense maritime acoustics — cloud, on-premises, or air-gapped.
> Acoustic prediction loop
Real Clairwave outputs across the world's key waters — each capability, shown working.
Clairwave runs a complete underwater-acoustic prediction loop — from contact position and source level, through range-dependent propagation over real bathymetry, to received level and detection footprint — benchmarked against recorded hydrophone data.
Live positions, speed, type, and dimensions for every vessel in view — plus an AIS time machine to scrub back and replay any historical window and run acoustics on past traffic.
Wales-Heitmeyer spectral model estimates broadband source level per vessel from ship class, speed, length, and draft.
RAM parabolic equation solver with real GEBCO bathymetry computes range-dependent propagation loss per vessel bearing.
Pick the physics for the problem: RAM parabolic equation, Bellhop ray tracing, OAST wavenumber integration, or CUDA GPU solvers — matched to frequency, range, and bathymetry.
Lay DICASS / DIFAR sonobuoy fields and compute detection footprints — signal-excess coverage and optimized layouts over real bathymetry.
Interactive terrain, vessel markers, and volumetric propagation overlays — run in any browser, no install.
Clairwave couples 10-day forecast ocean conditions (GIOPS) with vessel transit prediction: draw a track, skew a contact forward in time, and run tomorrow's acoustics today — future position and future sound-speed field, together in one simulation.
Hydrophones measure total noise. They can't tell you which vessel is responsible, how much noise it would make at a different speed, or what will happen when the next ship arrives.
AIS-linked source levels decompose the soundscape into individual vessel contributions — who, how much, and why.
Model the acoustic field before a contact arrives. Evaluate sensor placement, speed, and depth scenarios in seconds — not after the fact.
Built on peer-reviewed propagation codes (RAM, Bellhop, OAST) and benchmarked against recorded hydrophone measurements — transparent, reproducible physics you can audit.
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Built for academic institutions, research labs, marine consultants & port authorities, and government bodies — navies and defence research establishments.
📅 Book a demoClairwave is an open MCP server (Model Context Protocol). Connect it once and Claude, ChatGPT or Grok can run propagation physics, pull sound-speed profiles and seabed parameters, look up live ships and estimate their noise — and hand you a link that opens the result in the platform. No account, no API key.
Paste this URL as a custom connector.
https://www.clairwave.com/mcp
Claude — Settings › Connectors › Add custom connector
ChatGPT — Settings › Connectors › Create (developer mode), no auth
Grok — grok.com/connectors › New Connector › Custom{"type":"mcp","server_url":"https://www.clairwave.com/mcp","server_label":"clairwave"}Listed in the MCP Registry as io.github.clairwave/clairwave. Open source (MIT): github.com/clairwave/clairwave-mcp
Thirteen tools; every location accepts a place name. Each prompt opens pre-filled in the assistant you pick (connect Clairwave there first).
Bathymetry, seasonal sound speed, seabed, RAM and Bellhop solvers, live AIS and vessel noise models — each answer carries its run id and a link that opens the run visualized here.
Live contact tracking, physics-based propagation, sonobuoy-field coverage, and hydrophone-validated prediction. No install, no wait.
Launch ClairwaveRecorded predicted-vs-measured validation: Clairwave's physics-based acoustic model benchmarked against an independent hydrophone (Lime Kiln, Haro Strait) — an archived dataset you can explore below.
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