Certus Core develops ontology-driven knowledge graphs that utilize natural language processing to enable intuitive data queries and integration based on organizational concepts. This technology addresses the challenge of data transparency and context in complex environments, allowing users to derive actionable insights from diverse data sources.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to integrate and query data from disparate sources due to a lack of transparency and contextual understanding. Traditional data management systems often fail to connect data based on organizational concepts, hindering the ability to derive actionable insights.
Solution
Certus Core offers a generative AI-driven data transparency platform that leverages ontology-driven knowledge graphs and natural language processing to enable intuitive data queries and integration. The platform uses ISO standards to guide the data integration process, organizing data using concepts, goals, and effects. By connecting data in a way that mirrors how users think, Certus Core facilitates the discovery of unexpected relationships and the extraction of valuable insights from complex data environments. The solution empowers users to query data in natural language and receive AI-powered summaries tailored to their specific needs.
Target Audience
Certus Core targets organizations dealing with complex data environments, including those in autonomous sensing, ISR integration, contested logistics, and financial intelligence.
Features
- AI-powered natural language queries using LLMs fit to knowledge graphs
- Entity-based data management that integrates data using organizational concepts
- AI-driven summarization of results, combining LLMs and knowledge graphs
- Highly scalable data engineering solution using an open-source code notebook and Python
- Integration of autonomous sensing data with ISR data into a common model based on effects
- Visualization of data with analytic tools