Harness the Power of

Large Language Models
& Semantic Technology

Harvest Knowledge from Unstructured Data

Our Solutions

TextDistil

Create Knowledge Graph from unstructured data automatically

Automated pipeline transforms text documents, video, audio and images into knowledge in the form of an RDF semantic knowledge graph

NLQS

Magic sauce in your data exploration

Chat with your Database like it is a co-worker in plain Natural Language and get instant results

KGMT

Knowledge Graph Mediated Translation

Translate your English documents into Spanish, German, French, Hindi, etc. with KGMT to produce highest quality translations

Why should you choose us?

Rigorous semantics configured within TextDistil anchors LLM Agents to the domain and context leading to accurate knowledge extraction

Typical business language instead of SQL can now with NLQS fetch data from databases to power instant decision making

Neural Machine Translation leaves substantial amount of costly post-editing for linguists to carry-out. Knowledge Graphs by serving context as needed reduce the post-editing needs

Testimonials

“Wondering how to use #NLP most effectively to help automate #knowledgegraph creation? Lead Semantics TextDistil can be useful in preliminary Knowledge Graph generation.”

Semantic Tech Experts Group

“The integration of Lead Semantics’ platform and AllegroGraph delivers new types of analytic outcomes and insights to provide ‘Smart Data’
for the Enterprise”

Franz, Inc.

"Thank you for creating TextDistil, an excellent tool for enhancing RAG-based large language models' contextualization and reasoning capabilities (LLMs). Generative AI can more effectively respond to inquiries or pose relevant follow-up questions by leveraging the synergy of data and graphs. I experimented with TextDistil in 2022 during my work on ISEEQ while delving into open-domain question-answering. I now observe that TextDistil offers a diverse range of functionalities, making it well-suited for enhancing LLMs' consistency and explainability features."

Dept. of Computer Science
Univ. of Maryland Baltimore County