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TextQL

Official

@textqllabs · United States of America

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28Public Repos
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11Published Skills

TextQL allows business teams search across your Modern Data Stack, surfacing all the context required to understand it

Skills Distribution
DomainData Systems...Semantic Modeling (40%)Data Governance (30%)Business Intellige.. (30%)

Agent Skills by TextQL

Showing 11 vetted skills indexed across 1 GitHub repositories.

TextQLLabsTextQLLabs

clinical-trials-ontology-starter

Generate clinical-trial enrollment metrics and safety signals from a governed ontology.

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wealth-asset-ontology-starter

Provides a pre-built, adaptable ontology for wealth and asset management data.

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realestate-ontology-starter

Set up a governed real-estate ontology for TextQL/Ana semantic layers.

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genomics-ontology-starter

Provide a prebuilt genomics ontology for TextQL/Ana with governed metrics.

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healthcare-ontology-starter

Deliver a pre-built healthcare ontology for claims and clinical data analysis in TextQL/Ana.

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finserv-ontology-starter

Provide a prebuilt financial services ontology for core-banking data analysis in TextQL/Ana.

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medtech-ontology-starter

Adapt a prebuilt medical-device operations ontology for TextQL/Ana with ANSI/Spark SQL.

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biopharma-commercial-ontology-starter

Provide a governed biopharma commercial ontology with entity spine and metrics for TextQL/Ana.

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capital-markets-ontology-starter

Builds a governed capital-markets ontology for TextQL/Ana by connecting to a trading warehouse.

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insurance-ontology-starter

Provide a prebuilt insurance ontology for policy and claims data workflows.

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provider-ops-ontology-starter

Provides a governed acute-care operations ontology for TextQL/Ana with entity spine and classification.

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Frequently Asked Questions About TextQL

FAQPage Schema
What specific data analysis tasks does TextQL enable?

TextQL enables the transformation of raw data into governed semantic layers, allowing users to query complex datasets like clinical trials, insurance claims, and core-banking records. It provides pre-built ontologies that map entity spines to metrics, facilitating accurate reporting and data discovery across modern enterprise environments.

Which professional personas benefit from these semantic ontologies?

These ontologies are designed for data engineers, business analysts, and clinical researchers who manage complex enterprise data stacks. They serve professionals in healthcare, biopharma, financial services, and real estate who require governed, standardized metrics to perform reliable data analysis without manual SQL mapping.

What are the prerequisites for deploying these ontology starters?

Deployment requires an existing TextQL or Ana environment and access to your underlying data warehouse, such as a trading warehouse or claims database. Users must configure the specific ontology starter to match their schema, ensuring the entity spine and classification logic align with their internal data structures.