Textql

TextQL is an enterprise solution for businesses that need to streamline and automate complex data workflows across multiple systems. At its core, TextQL provides a unified ontology—essentially, a structured knowledge base—tailored to capture a company's unique business logic, enabling consistent interpretation and action on data from disparate sources. With its platform, users can connect to large, complicated databases (like SAP, Oracle, Teradata, Snowflake, and more) and both make sense of legacy data schemas and use conversational analytics to generate actionable insights.

TextQL stands out by letting teams automate the execution of decisions and processes that would typically require significant manual effort, such as data approval flows or syncing updates back into production systems. Its AI agent "Ana" continually learns and improves the ontology by inheriting knowledge from previous tasks, reducing duplication and increasing the accuracy and speed of workflows. The platform is particularly strong in industries with strict compliance requirements—such as healthcare, finance, and large-scale enterprise—where provenance, auditability, and security are critical.

Organizations can deploy TextQL in SaaS mode or within their own infrastructure for added control and compliance. Features include multi-system integration, unlimited seats, robust semantic querying, and options for deployment in highly regulated or air-gapped environments. The product also comes with granular security, privacy, and support options to meet enterprise needs, and its pricing is transparent, credit-based, and scales with organizational demand.

TextQL is designed for CTOs, heads of data and IT, and data analysts working in large enterprises or regulated industries such as financial services, healthcare, and Fortune 100 corporations.

It is especially relevant to organizations managing multiple databases and complex, legacy data architectures who need both transparency and control over how business logic is implemented across their systems. The platform simplifies compliance projects, streamlines decision automation, and enables cross-departmental collaboration by making previously siloed business logic accessible and actionable.

Teams facing recurring challenges with data integration, semantic consistency, audit, and automating approvals or data-driven decisions are the primary users who benefit most from adopting TextQL.