Franz Inc. Named to DBTA 100 Companies That Matter Most in Data

Franz Inc. has been named to Database Trends and Applications’ 2026 DBTA 100, an annual list recognizing forward-thinking companies helping organizations expand what is possible with data.

The recognition comes at a pivotal time for enterprise AI. As organizations move from experimentation to production AI systems, the need for trusted, governed, and explainable data has never been greater. Franz’s AllegroGraph platform is designed for this challenge, combining Knowledge Graphs, symbolic reasoning, vector search, graph analytics, and natural-language interaction to support the next generation of Neuro-Symbolic AI applications.

A major advancement in the latest AllegroGraph v9.0 release is GraphTalker, an AI agent that enables business and technical users to interact with enterprise Knowledge Graphs using natural language. More than a simple chatbot, GraphTalker can inspect schema, explore relationships, generate and refine queries, test hypotheses, explain answers, and create reusable knowledge workflows.

This agentic approach helps organizations move beyond one-shot natural-language query systems. Instead of simply translating a prompt into a query and hoping for the best, GraphTalker iteratively reasons across the semantic layer, validates results, learns from errors, and improves its answers step by step.

“GraphTalker represents a major step forward for enterprise AI because it moves beyond simple chat and into agentic interaction with the Knowledge Graph itself,” said Dr. Jans Aasman, CEO of Franz Inc.

AllegroGraph continues to advance Franz’s vision of Knowledge Graphs as the semantic foundation for trusted AI agents. By connecting data, relationships, governance, reasoning, and context, AllegroGraph helps enterprises build AI systems that are not only powerful, but also explainable, traceable, and reliable.

The DBTA 100 recognition reinforces Franz’s role as an innovator in data management, Knowledge Graphs, and Neuro-Symbolic AI at a time when enterprises are looking for practical ways to make AI more trustworthy and actionable.