TextQL maps data across enterprise systems into an ontology, a governed knowledge graph that improves with each task, and then lets agents work on it. Ana answers complex questions including against legacy systems like SAP, Oracle and Teradata, Data Apps package answers into shareable applications, and Agents write back into source systems.
The ontology is the argument. Every organisation has three definitions of revenue and four of active customer, so an agent querying the warehouse directly produces confident answers from whichever table it found first. A governed semantic layer makes the definition explicit, and in healthcare and financial services it also carries the HIPAA, PII and 42 CFR Part 2 boundaries that make agent access permissible at all.
Blackstone, Dropbox, Amazon, Scale AI and the NBA are named, with 50-plus connectors. No pricing is published. Building an ontology is a substantial project before value appears, a self-improving semantic layer needs governance so it does not drift, and agents writing back into source systems is a permission model to design deliberately.
