Generative AI promises revolutionary efficiency, smarter decisions, and unprecedented innovation. But too often, it falls short. Inaccuracies, inconsistent outputs, and a lack of access to your proprietary data hinder real-world deployments. In industries like finance and healthcare, these shortcomings aren’t just frustrating, they’re costly.
The Solution: Knowledge-Driven GenAI for Unwavering Generative AI Accuracy.
Imagine AI that delivers consistent, reliable results every time. AI grounded in your own enterprise data, powered by structured knowledge. Our white paper, "Closing the Accuracy Gap in Generative AI," reveals how to transform GenAI from a promising tool into a dependable, ROI-driven solution.
Unlock the full potential of your data by building and maintaining a semantic knowledge graph that delivers generative AI accuracy and drives smarter AI.
Taxonomies and Ontologies let you model any business domain with crystal-clear definitions and relationships, ensuring consistency and clarity in every data point, delivering machine-readable knowledge for your AI applications.
Classification and Extraction automates how your AI understands content by automatically tagging and classifying documents, continuously refining your enterprise knowledge graph with fresh, relevant, and actionable data.
GraphRAG delivers unshakeable GenAI accuracy by precisely guiding your AI’s data retrieval, eliminating hallucinations, and validating insights to guarantee high-quality results for generated content and automated workflows.
Semantic Knowledge Graph makes your GenAI truly intelligent by creating structured, machine-intelligible knowledge that enables your AI to reason, generate new insights, and power advanced analytics.
Seamless Integration
Our unified enterprise GenAI platform integrates your existing taxonomies, ontologies, and knowledge graphs with enterprise-grade GenAI.
Semantic Power
Native RDF support enables advanced ontological modeling and robust machine reasoning, supporting effective ontology for AI.
Deterministic Control
Rigorously structured knowledge ensures reliable, explainable, and auditable AI outputs for high-stakes applications.
Fortified Security
Granular access control and data privacy features protect sensitive financial information and ensure compliance, addressing critical ai data governance challenges.
Proven Expertise
30+ years serving global financial leaders with successful knowledge management taxonomy solutions.
Hybrid AI Approach
Combining knowledge graphs and retrieval augmented generation with LLMs delivers superior AI accuracy, transparency, and control, demonstrating how RAG with knowledge graph leads to higher AI model accuracy.
Automated Graph Building
Accelerate knowledge graph creation with automated data classification, cutting the time-to-value of graph-informed enterprise RAG deployments. This supports streamlined taxonomy management and ontology management.
Food Service Industry
International Telecoms Provider
Professional Services Marketplace
Quick-Service Restaurant
Up to
90%
response accuracy
International Telecoms Provider
92%
shorter mean-time to initial resolution
Professional Services Marketplace
Up to
86.7%
faster customer query responses
Stop leaving valuable knowledge dormant. Discover how your carefully built enterprise AI taxonomy is the key to unlocking the true potential of generative AI and achieving unprecedented ROI.
Industry leaders are already leveraging GraphRAG to redefine decision-making, building out their competitive edge. Are you ready to seize yours?