Data is overrated. Information is liberating. Knowledge is power!
Data informs, information clarifies, but connected knowledge is what powers faster, smarter and more informed decision making.
DATA + INSIGHT = METAKNOWLEDGE
Metaknowledge is critical as enterprise and geospatial systems become more complex and interconnected. Semantic layers and knowledge graphs create a framework for knowledge discovery, AI explainability, interoperability, context-aware analytics, and spatial intelligence – transforming raw data into an intelligent ecosystem for both human & AI-driven decision-making.
Unlocking knowledge
Data on its own has limited value. The real advantage comes from turning disconnected information into trusted, connected knowledge. SURROUND’s enterprise knowledge graph platform discovers, links and structures data across the organisation, transforming fragmented and unstructured information into a living knowledge fabric. By providing context, provenance and relationships at scale, SURROUND helps organisations move beyond managing data to unlocking actionable knowledge—enabling faster decisions, deeper insights and a lasting competitive advantage.
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.
LARGE LANGUAGE MODEL
SURROUND Australia empowers organisations to harness enterprise knowledge through AI, Large Language Models, and Agentic AI. Trained on your business and industry, our platform enables users to ask sophisticated questions in plain English and receive instant, high-precision answers. Combining deterministic controls with probabilistic reasoning, SURROUND transforms enterprise and public data into trusted, evidence-based intelligence—helping leaders solve complex challenges, make better decisions, reduce risk, and accelerate business outcomes.
ARTIFICIAL INTELLIGENCE
SURROUND harnesses AI capabilities to automate tasks that typically require human intellect.
SURROUND leverages semantic reasoning to deliver advanced AI that enables computers to simulate human capabilities such as learning, comprehension, problem-solving, decision-making, creativity, and autonomy. AI-powered applications can identify objects, understand and respond to human language, learn from new information and experience, and generate detailed recommendations. They can also act independently, reducing the need for human intervention while enhancing efficiency and decision-making.
MACHINE LEARNING
Our technology gives computers the ability to mimic the human brain and learn from historical data.
SURROUND leverages ML by training its solution to get smarter by learning from large datasets and recognise patterns without being explicitly programmed for every specific scenario. We creates models by programming an algorithm to make predictions or decisions based on data. We use broad range of techniques that enable computers to learn from and make inferences based on data without being explicitly programmed for specific tasks.
GRAPH RAG & EXPLAINABLE AI
Our GraphRAG solution enables the platform to answer complex queries about connected data.
SURROUND leverages GraphRAG, an advanced form of Retrieval-Augmented Generation (RAG) that combines Large Language Models with graph-based knowledge structures to deliver richer context and deeper insights. By linking related information across enterprise and external data sources, GraphRAG excels at complex reasoning and answering sophisticated questions. This explainable AI approach retrieves relevant information from vector databases and knowledge repositories, enabling LLMs to generate accurate, transparent, and context-aware responses.
SURROUND
Careers
At SURROUND we believe in pushing the boundaries of whats possible, known and unknown. Our vision is to leverage new and emerging technology to usher in meaningful change and help our clients solve some of the most challenging problems of our time. If this is a mission that interests you please give us a call. Weʼd love to hear from you.