Founded by three professors at the University of Oxford, Oxford Semantic Technologies emerged as a result of extensive research into Knowledge Representation and Reasoning (KRR), out of which came the most powerful Knowledge Graph and Semantic Reasoning engine on the market today, RDFox. Among founders is Professor Ian Horrocks, a recipient of the BCS Lovelace Medal, which honors exceptional contributions to the advancement of information systems and computer science.
As an AI reasoning engine, RDFox mirrors human reasoning principles. With unrivalled reasoning capabilities, relying on accuracy, truth, and explainability, it empowers the next generation of AI applications . By inferring new knowledge exclusively from factual data, RDFox ensures results firmly grounded in reality.
RDFox’s incremental reasoning capabilities cause the consequences of the rules-based AI to be applied to the database in real-time as data is added, changed, or removed—all without needing a restart. Only the relevant information is updated without needing to reanalyse the entire data set, making the process as efficient as possible. By avoiding the explosive complexity, RDFox offers the highest possible performance.
Aggregation allows numeric value calculations to be made across groups of data in the knowledge graph and then automatically materialised as new knowledge.
As a highly-optimised in-memory knowledge graph engine, RDFox consistently outperforms competitors by orders of magnitude in benchmark tests. Built to handle everything from massive knowledge bases and data sets with billions of deeply interconnected facts, to tiny on-device applications, RDFox ensures real-time processing and high availability across the board.
RDFox has been specifically designed and optimised to run in-memory instead of on disk. This fully leverages the orders-of-magnitude difference in data transfer speed between RAM and SSD storage – resulting in loading and query times that can often be 10-1000x faster or more.
This enables applications where a customer or end user only needs to wait a few milliseconds even when there may be billions of data triples being queried.
Incremental reasoning executes rules dynamically, adapting the database in real-time as data is modified. Throughout this process, only the relevant information is considered making it significantly faster than needing to update and reload the entire knowledge graph. RDFox can also process 2-3 million inferences of new facts per second.
RDFox supports high availability—the ability to replicate knowledge and data changes across multiple running RDFox servers to ensure that service is uninterrupted in the event that any one RDFox server experiences an outage or disruption.
RDFox can be deployed on cloud instance to comfortably handle even the largest datasets.
Whether in development or simply through convenience, RDFox can be run smoothly on-premises.
For greater security, mobility, and in-situ analytics, look no further than RDFox on-device.
RDFox on edge-device is the technology driving the next generation of the Internet of Things.
With patented optimization technology, RDFox is highly-scalable, able to handle the largest data sets with ease.
RDFox is the only in-memory knowledge graph on the market, which also makes it the fastest.
RDFox is an incredible lightweight application and has a highly optimised memory footprint.
RDFox’s reasoning makes updates as soon as data is added or removed without impacting performance or requiring a reload.
We provide access to our expert knowledge engineers as standard, supporting your project along the way.
Due to its incredibly efficient and optimised footprint, RDFox is the only enterprise-grade knowledge graph and reasoner that can be installed on edge and mobile devices, operating as the brain to your AI application independently and with total privacy. Enabling the next generation of the Internet of Things:
RDFox can operate on a device either independently or as a server-based network system.
RDFox’s inbuilt graph database uses the open RDF standard, meaning greater flexibility to switch between different RDF triple stores and less vendor lock-in. As standard we support:
RDFox can comfortably handle billions of triples while maintaining its industry defining performance.
The use of knowledge-based AI and knowledge graph technology is rapidly becoming prevalent across multiple industry sectors, covering a vast range of applications. Our clients are leveraging the power of RDFox to solve today’s greatest challenges.
One of the biggest frustrations for consumers and business experts alike is the inability to find the precise product or information that they are looking for, only to be recommended products or information that are unhelpful and irrelevant. RDFox delivers accurate results not seen in other AI or conventional technologies.
Regulated industries, including financial services and healthcare, face increasing pressures to make decisions based on complex rules and regulations. Compliance is vital to protect consumers and institutes alike against financial fraud and cybercrime. RDFox delivers instant decisions and detection based on complex rules and patterns.
Whether piloting a car, truck, aircraft, or boat, a challenge facing all autonomous systems is the ability to make the correct and immediate decision every time. Speed of thought is critical in any autonomous vehicle application, and RDFox’s advanced reasoning and on-device capabilities provide the brain of a safe, explainable and accurate platform.
Over the last decade, the abundance of data has become a obstacle in and of itself. Today, the true challenge lies around consolidation and analysis—finding valuable knowledge in a sea of information. RDFox does exactly that, enabling rapid data integration and advanced analysis.
