Skip to content

Drowning in data yet starving for insight?

You've got petabytes of information scattered across systems, teams and suppliers—but the connections that matter most remain hidden. When every decision counts, you need the complete picture.

About SURROUND Australia

We transform complex and disconnected
information into clear and actionable intelligence

Data is the lifeblood of every modern enterprise, yet fragmented or poor-quality data leads to costly decisions. For over 10 years, SURROUND has been at the forefront of data management, data science, and meta-reasoning. Led by CEO Dr. Brad McCusker, with 30+ years of global expertise in data science and knowledge management, we transform disconnected data into trusted intelligence using AI, interoperability, and advanced analytics. We empower organisations to act faster, smarter, and with confidence in complex, high-stake environments.

The Connected Data Journey

From poor quality, unstructured data to high quality, connected data, SURROUND organises, connects and enhances data, every step of the way.

Data
Discovery
Data
Provenance
Structured
Data
Data
Harmonisation
Data
Interoperability
Geospatial
Tagging

Our Technology

For over a decade, SURROUND has transformed siloed, fragmented, and unstructured data into a single trusted source of truth. Using open standards, interoperability, AI, and advanced data technologies, we connect disparate systems and turn complexity into actionable intelligence.

Interoperability Framework

System of systems data reference model using open global standards

SURROUND enables organisations, systems, and applications to seamlessly connect, exchange, and analyse enterprise data regardless of source, schema, or format. Built on globally recognised Open Geospatial Consortium standards, our interoperability framework supports FAIR principles—ensuring data is findable, accessible, interoperable,
reusable, trusted, and transparent.

Knowledge Graphs

A natural data ontology with the capability to harmonise and integrate data at scale

The enterprise-scale SURROUND Knowledge Graph platform connects, integrates and organises data from multiple sources to rapidly build scalable knowledge graphs. It makes data accessible across the organisation, enabling iterative modeling for new analytical use cases. Its in-memory graph engine combines graph algorithms, data science and OLAP analytics in a single query, while no-code query generation lets non-technical users solve complex analytics problems at scale.

Data Fabric Technology

Catalogue, search, enhance all of your data assets without re-organising them

The SURROUND Data Fabric enables enterprises to find, access, integrate and share data across distributed data assets. Operating at the metadata layer, it connects transactional and analytical systems without moving or exporting data. Using semantic interoperability and ontology, it adds meaning, context and relationships while cataloguing, searching and unifying information assets into a seamless data inventory.

Prescient 4D Geospatial Platform

Mitigate risk and build confidence with our ‘Know-B4-U-Goʼ capability

SURROUNDʼs 4D geospatial data management platform makes large-scale geospatial data (satellite, LiDAR, imagery and bathymetry), accessible, searchable and actionable. It overcomes legacy GIS limitations by unifying complex, fragmented data in a high-speed, interoperable platform. Predictive algorithms track changes over time, creating a 4D view (3D+time) to analyse land use, environmental and geotechnical risk, etc. now and into the future.

Observability

Observability is the active over-sight of data acquisition, enabling decision-makers to assess data quality, confidence while validating available information.

Semantics & Ontology

We provide a unified semantic and ontological framework for organisations to understand, interpret and integrate geospatial data.

Deterministic Reasoning

This produces consistent out- comes from input data using rules, formulas or physical laws, delivering the same result for the same inputs every time.

Natural Language Processing

NLP extracts spatial information on locations and places from unstructured text such as media and reports, and converts it into actionable map-based data.

Digital Twins

High resolution digital twins can model our real world providing rich 3D models of the physical environment for planning and real-time decision making.

Probabilistic Reasoning

Probabilism is a form of future spatial configuration mapping that uses domain knowledge and data points to reason about risk & anticipate possible outcomes.
Drawing on a decade of R&D, we equip you to make confident, real-time decisions grounded in trusted evidence, analysis and intelligence.

Dr Brad McCusker (CEO)

Chat with Brad
CEO Photo