NaturalText AI is an enterprise insight mining engine that uses novel symbolic AI to uncover actionable insights from private and public text data. It operates without labels, training, or LLMs, relying on graph theory and unsupervised learning to build knowledge graphs and enable contextual search, ranking, and reasoning.
Key Features
- Zero-Shot AI: Works on any data without historical data or training.
- Relational AI: Analyzes mixed data (PDFs, emails, chat, relational databases) as-is.
- Reasoning AI: Builds knowledge graphs for explainable, readable, and verifiable results.
- On-Premises Security: Data never leaves the firewall; full control over sources and outputs.
- Agile: No time-consuming training; scalable to any size, format, and language.
Use Cases
- Enterprise search with contextual graph indexes.
- Knowledge graph construction for life sciences and clinical trials.
- Customer insights from emails, chat, and social media.
- Name matching for KYC and compliance.
- Market intelligence and lead generation.
- Ranking and relevancy improvement for legacy search systems.
Who It's For
Enterprise teams needing to extract insights from text data without relying on public data or statistical models. It is particularly suited for regulated industries where explainability, security, and control are critical.
Key Benefits
- Explainable, readable, and verifiable results
- On-premises installation for data security
- Works on any data without training or labels
- Novel non-statistical AI based on graph theory
