AI-Powered Subsea Intelligence

Transform raw, legacy, or live bathymetric data into high-resolution, decision-ready seabed intelligence-faster, more accurate, and at scale.

Works with MBES, Side-Scan, and Sub-Bottom data. Exports to GIS, CAD, and API-based workflows.

Improved Effective Resolution

Increase usable seabed detail through AI-based reconstruction — without changing acquisition plans.

Autonomous Data Processing

Reduce manual processing and accelerate delivery across large survey areas.

Workflow-Compatible

Integrates into existing hydrographic, GIS, and engineering workflows.

Lower Operational Cost

Fewer re-surveys, less rework, and reduced QA/QC overhead.

Faster Survey-to-Model Cycles
Reduced Processing Bottlenecks
Higher Confidence Planning Inputs
Lower OPEX
Per Project

The HydroSight Platform

Transforming subsea data into actionable intelligence

What We Do

HydroSight is an AI powered subsea intelligence platform designed to transform bathymetric survey data into high-fidelity seabed models and analytical layers.

The platform autonomously processes raw, fragmented, or legacy datasets, enhancing effective resolution, reducing artifacts, and delivering consistent, decision-ready outputs.

HydroSight enables faster, more accurate marine planning, infrastructure assessment, and regulatory workflows without disrupting existing survey operations.

Subsea Mapping Example

Autonomous Data Processing (ADP)

Automated cleaning, normalization, and alignment of bathymetric datasets.

AI Super-Resolution Reconstruction

Enhances effective seabed resolution and structural clarity beyond native survey grids.

Detection & Anomaly Cueing

Identification of seabed anomalies, assets, and object-like features for analyst review.

Scalable Processing at Scale

Parallel execution across large areas and multi-project environments.

GIS, CAD & API Outputs

Deliverables compatible with standard mapping, engineering, and planning tools.

Predictive Seabed Intelligence

Forecasting seabed change, risk evolution, and anomaly likelihood using historical and multi-source data.

Supported Inputs

  • MBES bathymetry
  • Backscatter data
  • Side-scan sonar
  • Sub-bottom profiler data
  • LiDAR bathymetry
  • Navigation and attitude data (when available)

Export Formats

  • GeoTIFF & raster grids
  • XYZ / point-based surfaces
  • LAS / LAZ point clouds
  • Mesh models (STL / OBJ)
  • Shapefile vectors
  • REST API endpoints

AI-Powered Processing Engine

State-of-the-art deep learning for subsea imaging

01

Ingest Survey Data

Raw, legacy, or live bathymetric datasets

02

Autonomous Processing

Cleaning, alignment & normalization

03

AI Super-Resolution

Higher-fidelity seabed models

04

Detection & Analysis

Anomalies & seabed features

05

Decision-Ready Outputs

GIS & engineering products

Deployment Options

  • Cloud Processing: Scalable GPU clusters for batch processing
  • On-Premise: Deploy within your secure environment
  • Hybrid: Process locally, enhance in the cloud

Security & Data Ownership

  • Client retains full ownership of all data
  • No customer data used for training without explicit approval
  • Encryption in transit and at rest (deployment-dependent)
  • Cloud, on-prem, and hybrid deployment options available

Industries We Serve

Powering subsea intelligence across multiple sectors

Energy & Gas

Energy & Gas

  • Pipeline routing, integrity monitoring, and maintenance planning.
Ports & Dredging

Ports & Dredging

  • Volume estimation, dredging optimization, and navigation safety layers.
Subsea Infrastructure

Subsea Infrastructure

  • Cables, pipelines, and asset-centric seabed intelligence.
Defense & Security

Defense & Security

  • UXO and obstacle cueing within analyst-in-the-loop workflows.

See the Difference

Compare raw survey outputs with AI-enhanced seabed intelligence. Results vary by sensor, altitude, and seafloor type.

Before Processing After Processing
Before AI Processing After AI Enhancement

Request a Demo

Tell us about your project. We'll demonstrate HydroSight using a relevant dataset or pilot scenario.

Leadership Team

Tomer Adler – CEO
Marine robotics & autonomous systems background. Former naval officer overseeing underwater navigation programs.
Chen Megera – CBO
Entrepreneur and strategist in dual-use defense and blue-tech ventures. Former special operations commander.
Haitham Ezzy – CTO
AI engineer specializing in spatial deep-learning and signal reconstruction.