Scalable Ocean Big Data Processing: Faster, Cheaper, Smarter

Automate and accelerate your ocean big data workflows beyond desktop limits with a powerful, cloud-native engine.

The Challenge

The Challenge of Modern Ocean Big Data Processing

Organisations collecting ocean big data face growing data velocity and are limited by outdated desktop-based methods.

Huge Data Volumes

Sensors with higher resolution generate ever larger data sets, leading to bottlenecks.

Limited Resources

Desktop software is not designed for big data and limited by hardware resources.

No Automation

From file validation to merging, everything requires repetitive manual steps.

Poor Quality Assurance

No built-in tools for automatic validation, flagging, or cleaning reduce trust in results.

Slow Workflows

Manual and repetitive workflows take days or weeks to process datasets.

Expert-Only Tools

Only highly specialized personnel can operate complex legacy software.

Our Solution

north.io's Ocean Big Data Processing Engine

Our engine utilises scalable architectures to apply parallel high-performance cloud computing to complex raw underwater sensor data: insights created in seconds.

Parallel Processing

Process dozens of raw underwater datasets across multiple workflows simultaneously. No need to wait for one batch to finish before starting the next.

Multi-File Input

Drag, drop, and queue complete folders of files. The engine handles multi-step processing with logic tailored to each activity.

Data Specific Processing

Our engine understands your data—from MBES, SSS to LIDAR—and intelligently provides relevant algorithms for each file. No manual matching required.

Stable Automation

You don’t need to be a scripting expert.

Our UI guides you through creating complex pipelines without crashing your system.

Broad Algorithm Coverage

Get started fast with top activities per sensor type:

MBES: Beam footprint, coverage, bathymetric features
SSS: Signal-to-noise ratio, signal footprint, coverage
LIDAR: Point density, coverage, topographic features

How It Works

From Raw Sensor Data to Results in Seconds

Watch how easily you can set up an entire ocean big data processing workflow.

Upload your files, select the activity, and let the engine do the rest.

Book a Call

From Raw Sensor Data to Results in Seconds

Our approach

Benefit From Our Processing Engine

On-Demand Scaling

Leverage cloud resources when you need them. No need for intensive hardware investments.

Shorter Time to Insight

Process dozens of files in parallel. Turn raw data into actionable outputs in hours, not days.

Precise Outcome

Advanced processing methods yield razor-sharp outputs, even on Side Scan Sonar. Perfect for detecting small objects like torpedoes or anchors.

No Vendor Lock-In

Export data in standard, open formats (GeoTIFF, Geojson, Geoparquet, Las/Laz etc. or share them as WMS) and stay in control of your own information.

Underwater Clarity

Combine the power of geospatial analysis with geophysical processing to understand what lies beneath the ocean's surface.

The New Era of
Ocean Big Data begins now!

Access White Paper

Our core technology

The Ocean Big Data Specialist

Our Ocean Big Data Processing Engine was designed for scalable, distributed underwater data processing. Unlike traditional desktop, we enable data processing at the point cloud level using raw data: preserving accuracy and creating more insights.

Distributed Cloud Architecture with Apache Spark

At its core, the Ocean Big Data Processing Engine is powered by Apache Spark, the industry-standard framework for distributed, parallel computation. This enables fast processing of massive data volumes across multiple nodes simultaneously, turning hours of work into minutes.

Kubernetes-Based Orchestration

The Ocean Big Data Processing Engine runs in containers orchestrated by Kubernetes, ensuring high reliability, workload balancing, and dynamic scalabilit. Whether you need to process a single file or an entire survey campaign.

Intelligent Workflow Logic

No built-in tools for automatic validation, flagging, or cleaning reduce trust in results.

Raw Data Processing

Manual and repetitive workflows take days or weeks to process datasets.

High-Performance Data Storage & Format Optimization

Using Apache Parquet, a columnar data format, the Ocean Big Data Processing Engine reads and writes large datasets efficiently, allowing selective access to necessary data without loading entire files. This results in 10x-100x faster read/write speeds than flat formats like CSV.

Horizontal Scalability & Fault Tolerance

Rather than relying on expensive IT-infrastructure and servers, the Ocean Big Data Processing Engine optimally distributes tasks across cloud compute nodes. This design dramatically improves reliability, reduces hardware costs, and allows workloads to scale with your project needs.

Contact us

Ready to Transform The Way you Process Ocean Big Data?

Stop wasting time with crashing software and manual processing.

Let's discover how to accelerate ocean data processing and generating insights in seconds.

Experience the future of ocean data processing.

Let's talk

About us

What Others Say

north.io is a trusted and enjoyable partner to work with. Their platform makes our daily work with geo data much easier and supports our statewide digitalization strategy for managing, visualizing, and distributing geo data.

Tobias Kuring

Deputy Head of IT at Ministry for Energy, Climate, Environment and Nature of Schleswig-Holstein

Cimbria Subsea Services selected north.io's ocean data platform for its great support in survey planning, data management, and quick quality assurance. The platform’s innovative technology and smooth integration enhance the efficiency of our marine survey operations.

Mona Lütjens

PMO at Cimbria Subsea Services

Working with north.io has been a genuinely positive experience. The TrueOcean platform keeps improving in ways that directly support our workflows, and it's clear the team really listens. Your responsiveness and ability to handle large, complex datasets makes a real difference. We look forward to further developing this promising collaboration.

Stephen King

GIS Lead at Flotation Energy Ltd

FAQ

Frequently Asked Questions

Do I need to install any software to use the processing engine?

No. The engine is fully cloud-native and runs in your browser. There's nothing to install, configure, or maintain locally.

What types of data can I process with the platform?

We support a wide range of ocean data types—Multibeam (MBES), Side Scan Sonar (SSS), LIDAR (POINTCLOUD), and generic formats like GeoTiff, XYZ, LAS, LAZ, and more. The engine automatically selects relevant algorithms based on your uploaded files.

How is this faster than desktop tools?

We use Apache Spark for distributed processing and Kubernetes for smart resource scaling. This allows you to run multiple workflows in parallel—across hundreds of files—without being limited by local hardware.

Will I lose data precision when using your service?

Not at all. Unlike traditional systems that rely on rasterizing data early, we process everything natively at the point cloud level—preserving precision and granularity for better results.

Can I export results in formats I can use elsewhere?

Yes. You can export to open-standard formats such as GeoTIFF, SHP, LAS, GeoJSON, GeoParquet, or share them as WMS, ensuring full interoperability and no vendor lock-in.