Oxford Semantic Technologies develops RDFox, a high-performance knowledge graph database that utilizes rules-based artificial intelligence for semantic reasoning. This technology enables organizations to derive accurate insights from complex data sets, addressing challenges in semantic search, compliance with regulations, and real-time decision-making in autonomous systems.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to efficiently extract actionable insights from increasingly complex and voluminous data sets. Traditional databases often lack the semantic reasoning capabilities needed for tasks such as semantic search, regulatory compliance, and real-time decision-making, especially in autonomous systems.
Solution
RDFox is a high-performance knowledge graph database that leverages rules-based artificial intelligence to enable semantic reasoning over complex data. Its in-memory design allows for rapid query execution and real-time analysis, outperforming other graph technologies. RDFox facilitates the creation of new knowledge by deducing relationships between data points, ensuring accuracy, truth, and explainability. It can be deployed on-device, on-cloud, or on-premise, offering scalability from big data applications to edge computing scenarios. The platform supports various use cases, including semantic search and recommendation, rules and regulations compliance, complex product configuration, and autonomous vehicle decision-making.
Target Audience
The primary audience includes enterprises across various sectors, such as financial services, healthcare, manufacturing, and automotive, seeking to leverage knowledge graphs and semantic reasoning for enhanced data analysis and decision-making.
Features
- In-memory design for 10-1000x faster results compared to other graph databases
- Semantic reasoning engine for deducing and building new knowledge based on facts
- High availability setup to keep solutions online 24/7, 365 days a year
- Access control features to manage data access permissions
- Logic-based AI guarantees truth, accuracy, and auditability
- Human-like reasoning for efficient extraction of powerful insights
- Data import options from multiple sources and a RESTful API for flexible connectivity
- Uses the open RDF standard for easy data transfer between RDF triple stores
- Incremental reasoning makes updates as soon as data is added or removed without impacting performance