TextVerstehen provides a SmartGraph framework that automatically extracts entities from large, heterogeneous text collections and builds domain‑specific knowledge graphs. The platform offers customizable extractors, scalable graph storage, and Python/REST APIs for seamless integration with large language models and analytics pipelines, while keeping data on the customer’s infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that need to extract structured information from large, heterogeneous text collections often face time‑consuming manual processing, inconsistent data quality, and difficulty integrating the results into AI pipelines.
Solution
TextVerstehen offers a SmartGraph framework that automatically builds domain‑specific knowledge graphs from raw documents, databases, and other text sources. Their extractors use state‑of‑the‑art NLP models to identify entities such as addresses, personal names, and organization details, then represent the results as scalable, queryable graphs. The generated graphs can be deployed via Python libraries or REST APIs, enabling seamless consumption by large language models, question‑answering systems, or downstream analytics. The platform emphasizes data privacy—customers retain full control over their domain knowledge—and provides tools for continuous updates as source data changes.
Target Audience
Primary customers are data‑driven enterprises, AI product teams, and research groups that require reliable, automated knowledge extraction to enhance large language model performance and downstream analytics.
Features
- Automated extraction pipelines that convert unstructured text into high‑precision knowledge graph statements
- Domain‑adaptable extractors for addresses, personal names, organization identifiers, and other entity types
- Scalable graph storage supporting hundreds of thousands of triples extracted from gigabytes of source material
- Python SDK and RESTful API for easy integration into existing AI workflows and LLM prompting pipelines
- Privacy‑first architecture that keeps proprietary domain data on the customer’s infrastructure
- Continuous online update capability to keep knowledge graphs synchronized with evolving source data