TextQL

Deploy Enterprise Scale Data Analyst Agents to handle your messy data workloads

TextQL builds an ontology of a company's business logic so its data analyst agent, Ana, can answer questions and do work on top of enterprise data. The site describes the platform as covering everything between the data warehouse and finished work: it maps the data, records what each field means, answers questions on it and then completes the task. Ana is pitched at complex, messy data workloads on legacy systems such as SAP, Oracle and Teradata, where decades of tables and codes have no clear schema.

The ontology is described as self-improving, with what one task learns carried into the next. TextQL positions itself for regulated industries, naming healthcare, financial services and F100 enterprises, and mentions HIPAA and HL7/FHIR boundaries in its healthcare messaging. Platform components listed include Ana, agents, applications, data connectors and an infrastructure layer called Sandcastles.

Although listed here under marketing, the product is an enterprise data platform sold as one system. The directory lists it as freemium, but the site only shows demo requests and walkthrough bookings, so expect to contact sales for pricing. Data teams with large, poorly documented warehouses are the intended audience; request a demo with your hardest query.

Category: Marketing. Pricing: freemium. Visit website

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