TextQL

TextQL is an enterprise data analysis platform built around Ana, an AI data analyst that answers plain English questions across a company's data estate and then acts on the results. Ana consults an ontology first: a git backed, versioned repository of definitions, metrics, scripts and documents that captures what the data means. It then queries only the sources needed, runs the work in a disposable, audit logged sandbox the company calls a sandcastle, and returns charts, reports, data apps or alerts with the underlying query attached. The platform targets heavily regulated and data dense industries such as healthcare, financial services and large enterprises. Connectors reach SAP, Oracle, Teradata, Snowflake, Databricks, BigQuery, Redshift, SQL Server, Postgres, ClickHouse, Salesforce, Workday, Coupa, Power BI and Tableau. For large questions Ana fans out to parallel subagents and reconverges on one answer, and agents can monitor data, make decisions and write back into source systems. Every change to the ontology is permissioned, so Ana cannot see what the user cannot see. Pricing is published in three plans. Analyst is $0 plus compute per month, with $100 per month in free credits (listed as 50,000 ACU), 3 seats, shared compute, unlimited connectors and integrations, and overage at $2.00 per 1,000 ACU. Team is $250 plus compute per month, with $250 in credits at $0.003 per ACU (about 83,000 ACU), unlimited seats, collaboration, email support and overage at $3.00 per 1,000 ACU. Enterprise is custom and adds SAML or OIDC single sign on with SCIM, dedicated or single tenant infrastructure, VPC, on premises and bring your own cloud deployment on AWS, Azure or GCP, HIPAA with a signed BAA, SOX support, domain specific ontology modules and custom model fine tuning. Embedded and white label deployments let other companies offer the analysis engine under their own brand.