Autonomous vehicles whether cars, trucks, boats or aircraft need to make the correct and safe choice when deciding how to manoeuvre. Current technologies still struggle to ensure autonomous vehicles fully understand the world around them in real-time.
Autonomous vehicles need to follow clear rules and avoid learning bad habits.
The safety of autonomous vehicles is critical to adoption and public confidence. Not only do autonomous vehicles need to make real-time decisions in reaction to their environment but they also need to make predictions ahead of time—in the same way that a human would.
RDFox is the only enterprise-ready and scalable semantic search engine on the market with in-built advanced reasoning capability.
RDFox’s advanced reasoning allows rules to be used that can automatically allow autonomous vehicles to make the correct decision without needing to explicitly state every possible variation in concepts encountered.
With incremental reasoning, rules update the vehicles on-board knowledge in real-time as new information appears, and as old information is deleted or becomes irrelevant.
Spatial reasoning allows multiple map data to be seamless integrated and combined with the vehicle’s sensor data, stored in the on-board knowledge graph with human-like reasoning applied to ensure the correct decision is made every time.
RDFox provides a breakthrough solution to helping autonomous vehicles make full sense of their surroundings with human-like reasoning capability, leading to autonomous decisions that are safer for occupants, pedestrians, and other road users.
RDFox is the only in-memory knowledge graph on the market, which also makes it the fastest.
RDFox on edge-device is the technology driving the next generation of the Internet of Things.
Unlike other AI, RDFox is logic-based, so guarantees truth, accuracy, and auditability.
We provide access to our expert knowledge engineers as standard, supporting your project along the way.
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.
Avoid downtime—keep your solution online 24/7, 365 days a year, with RDFox's high availability setup.
The in-memory design produces 10-1000x faster results than other graph databases and enables enterprise-level scaling.
RDFox’s unique semantic reasoning draws human conclusions, enabling the efficient extraction of powerful insights.
The use of rules-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.
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