BigVault
An ontology-driven AI system optimizing data insights for a data-intensive enterprise.
BigVault: Building a Deeper Data Insights Tool with AI & Ontology
How we delivered a domain-aware, ontology-based AI system for a data-intensive enterprise to store, manage, and retrieve complex data relationships and sources.
Free consultationAbout BigVault
BigVault is a data-intensive enterprise dedicated to transforming vast, unstructured datasets into a strategic asset through AI and ontology. Operating in the data management industry, their mission was to develop a robust content management system (CMS) that could store and retrieve data from local and internet sources, manage content with versioning and processing, and provide actionable insights for decision-making. By harnessing a domain-aware solution, BigVault aimed to unlock deeper data relationships, maintain high performance, and scale effortlessly—all while ensuring precision and reliability.
BigVault Content Management & Research Tool Overview
The Challenge
BigVault confronted a formidable challenge: building an AI-driven CMS capable of modeling intricate data relationships and tracing data back to its original sources—whether in local databases or internet repositories—while managing large volumes of unstructured content in real time. The system needed to offer versioning, process content dynamically based on its content type, deliver precise insights, and scale to meet growing demands, all while integrating with existing infrastructure. Overcoming performance bottlenecks, ensuring security with fine-grained permissions, and providing intuitive retrieval presented significant technical hurdles for their data-driven operations.
Our Solution
Biggest Lab crafted BigVault as a domain-aware, ontology-based AI system with a RESTful interface, hosted locally using Grok to meet the enterprise's unique needs. We leveraged machine learning, natural language processing (NLP), and semantic web technologies to model complex data relationships and trace sources with precision. The solution featured a distributed object store for scalable cloud storage, chronological versioning, orchestrated via an event store enabling a highly scalable CQRS architecture for near real-time updates. Our AI core powered intelligent tagging and vectorized meta data automatically upgrades the value of the client's content as it is mapped to their domain-specific ontology - while BigID ensured fine-grained permission controls to protect these incredibly valuable assets. A workflow engine schedules tasks and delivers business intelligence, seamlessly integrating with existing systems. Rigorous capacity testing optimized this robust CMS for heavy data loads, transforming BigVault's data strategy into a powerhouse of expressiveness and insight.
Ready to Harness AI for Your Content?
Contact our AI experts to discover how BigVault's ontology-based CMS can revolutionize your data strategy—offering secure storage, intelligent management, and precise retrieval with full traceability. Whether you're wrangling vast datasets or seeking deeper insights, we're here to optimize your operations, just as we did for our other BigVault clients.
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