TextQL
TextQL is an AI-powered data analytics platform whose agent "Ana" converts natural language into SQL, Python, and web searches across 50+ enterprise data sources, serving enterprise customers in healthcare, financial services, and technology with SOC 2 and HIPAA-compliant deployments.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What TextQL does
TextQL is a privately held, AI-powered data analytics platform that enables non-technical business users to query enterprise data using natural language instead of SQL. The platform centers on "Ana," an AI data scientist agent that writes and executes SQL, runs Python in a sandbox, performs web search, and operates against a governed Ontology semantic layer, all within customers' private environments. The product surface is organized into modular components — Threads (conversational interface), Ontology (metric definitions and entity relationships), Playbooks (scheduled automated analyses), Dashboards (persistent live views), Agents (long-horizon autonomous workers), Feed (shared insight stream), and Connectors (50+ native integrations to data warehouses, databases, BI tools, and SaaS sources including Snowflake, BigQuery, Databricks, Redshift, Tableau, Power BI, dbt, and HubSpot). Ana operates in-place across the customer's data without requiring ETL or data migration, addressing a stated pain point of traditional enterprise analytics costing $5,000–$10,000 per query and taking weeks.
The company serves enterprise customers across healthcare, financial services, manufacturing, retail, media, and technology, with named deployments at Amazon (Ring), Dropbox, Blackstone, Scale AI, NBA, Lumeris, RxB, and ATG. TextQL launched a healthcare vertical (TextQL Healthcare) in October 2025 in partnership with Lumeris to embed AI-powered analytics into care management workflows. The platform holds SOC 2 Type II, HIPAA, and GDPR certifications, supports on-premises and BYOC deployments on AWS, GCP, and Microsoft Azure (Azure single-tenant launched May 2026), and offers an Embed add-on for white-label analytics and an Observability add-on for agent usage and cost tracking.
TextQL monetizes through a usage-based SaaS model with three tiers: Analyst (free tier, $0 base plus compute, with $100/month in included credits), Team ($250/month base plus compute, $400/month in included credits, SOC 2 and HIPAA compliance, SSO), and Enterprise (custom pricing, dedicated infrastructure, on-prem/BYOC, custom model fine-tuning, dedicated account manager). Distribution combines a product-led growth self-serve signup at app.textql.com with enterprise field sales (Request Demo) and a four-step Partner Program covering referral, co-sell, implementation, and reseller relationships. The company is incorporated in Delaware as TextQL, Inc., headquartered in New York (225 Broadway, Suite 1801) with a San Francisco presence, and has raised approximately $21.1M in total funding across a $4.1M seed (January 2024) and a $17M strategic round led by Blackstone Innovations Investments (April 2026).
TextQL firmographics
Firmographics- Name
- TextQL
- Legal name
- TextQL, Inc.
- Website
- https://textql.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- TextQL is an AI-powered data analytics platform whose agent "Ana" converts natural language into SQL, Python, and web searches across 50+ enterprise data sources, serving enterprise customers in healthcare, financial services, and technology with SOC 2 and HIPAA-compliant deployments.
- Ownership category
- akta.pro rank
TextQL industry classification
Industry- Product category
- AI Data Analytics Platform
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD)
- akta.pro secondary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where TextQL is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
TextQL business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales
Revenue model
- Subscription - Usage-based SaaS: TextQL charges for usage (compute), not headcount. Three tiers: Analyst ($0 base + compute), Team ($250/month + compute), Enterprise (custom). Usage-based model allows organizations to scale access without per-seat costs.
- Subscription - Monthly/Annual Plans: Base subscription tiers with included credits: Analyst tier provides $100/month free credits, Team tier provides $400/month free credits. Annual billing available for Team and Enterprise tiers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Analyst - Free tier for individuals and small teams |
| Subscription | Monthly | Team - For companies with large-scale data initiatives |
| Subscription | Multi-year contract | Enterprise - For organizations with compliance requirements |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
TextQL product offering
Product offeringCore offering
TextQL is an AI-powered data analytics platform that combines an AI agent (Ana) with a purpose-built data warehouse operating within customers' private environments. The platform connects to 50+ data sources (Snowflake, BigQuery, Databricks, Redshift, Postgres, etc.) without ETL and lets non-technical users query enterprise data in plain English. Insights are delivered through conversational Threads, automated Playbooks, persistent Dashboards, and a collaborative Feed where AI agents publish findings.
Product overview
TextQL is an AI-powered data analytics platform that combines an AI agent (Ana) with a purpose-built data warehouse operating within customers' private environments. The platform offers a modular architecture centered around Threads (conversational interface with Ana), Ontology (governed semantic layer), Playbooks (automated scheduled analyses), Dashboards (persistent data views), Agents (autonomous long-horizon AI workers), and Connectors (50+ data source integrations). The platform enables non-technical users to query large databases using natural language, supports enterprise deployments across healthcare, financial services, real estate, and technology sectors, and recently launched a healthcare-specific vertical (TextQL Healthcare) in partnership with Lumeris.
Differentiator
Problem solved
Functional benefit
Brands
- TextQL Healthcare: A healthcare vertical launched in October 2025 to address complex data challenges in healthcare using AI agents, with partnership with Lumeris.
Products and services
- Threads Conversational interface where users interact with Ana, TextQL's AI data scientist, by asking questions in plain English. Ana autonomously executes multi-step analysis using SQL, Python, and web search to deliver actionable insights, with users able to follow up and refine analyses.
- Ana (AI Data Analyst Agent)
Quantifiable outcome
- Traditional analytics cost enterprises $5,000-$10,000 per query and take weeks; TextQL delivers insights in days or hours
Companies that use TextQL
Customer profileNamed customers8 records
Segments6 records
Ideal customer profiles3 records
TextQL technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration24 records
AI capability8 records
Feature8 records
TextQL partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- LumeriscorePartnership to embed AI-powered analytics into care management workflows as part of TextQL Healthcare vertical launch. Involves an industry advisory board of healthcare veterans guiding development and deployment of AI solutions in the healthcare sector.
- Amazon Web Services (AWS)coreBYOC (Bring Your Own Cloud) deployment option on AWS. TextQL deploys within customer's VPC on AWS infrastructure.
- Microsoft AzurecoreAzure single-tenant deployment option available. TextQL announced Azure deployment in May 2026 as part of launch week.
- Google Cloud Platform (GCP)coreBYOC deployment option on GCP. TextQL deploys within customer's VPC on Google Cloud infrastructure.
- Claude (Anthropic)coreAI model provider for TextQL's AI agent capabilities. Part of third-party AI service providers including AWS AI, Anthropic, OpenAI and Google Cloud AI.
- OpenAIcoreAI model provider for TextQL's AI agent capabilities. Part of third-party AI service providers including AWS AI, Anthropic, OpenAI and Google Cloud AI.
Scale indicators4 records
Recent moves5 records
Expansion highlights6 records
TextQL competitors and assessment
Company assessmentDirect peers
- Mode Analytics: Collaborative analytics platform combining SQL, Python, and visualization with AI-assisted reporting. Comparable in targeting data teams with multi-tool analytical workflows.
- ThoughtSpot: AI-powered analytics platform with natural language search, Spotter AI agent, and a comparable enterprise go-to-market. Most directly comparable competitor in conversational analytics, with deeper funding and brand recognition.
- Hex: Collaborative data workspace combining notebooks, SQL, Python, and AI-assisted analysis. Targets the same analyst persona with AI-driven natural-language workflows and direct warehouse connectivity.
- Sigma Computing: Cloud-native BI and analytics platform with AI features for spreadsheet-style data exploration. Targets similar enterprise analytics buyers with self-service and embedded analytics offerings.
- Tellius: AI-driven analytics platform with natural language querying, automated insights, and decision intelligence. Direct overlap in AI-assisted BI aimed at enterprise business users.
Broad incumbents
- Domo: Cloud BI platform with natural language (Domo AI) and broad data connectivity serving enterprise customers. Overlaps with TextQL in self-service analytics, though Domo's footprint is broader and more established.
- Snowflake: Cloud data warehouse with Snowflake Cortex AI for natural-language and agentic analytics on data stored in Snowflake. Competes at the platform layer where TextQL currently connects as a connector.
- Databricks: Data + AI platform whose AI/BI Genie product offers natural-language querying directly inside the Databricks lakehouse. Overlaps with TextQL in Text-to-SQL and agentic analytics, but anchored to Databricks' own data platform.
- Microsoft (Fabric Copilot / Power BI): Power BI with Copilot and Microsoft Fabric deliver natural-language analytics and AI agents natively in the Microsoft data stack. A natural default for enterprises already standardized on Microsoft for data and analytics.
Emerging players
- Akkio: AI analytics platform focused on natural-language data exploration and predictive analytics. Comparable in target persona (non-technical business users) and AI-first positioning, with a smaller enterprise footprint.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
TextQL social profiles
Digital presenceTextQL compliance and trust
Trust signalCompliance3 records
TextQL financial estimates
Financial estimateRevenue estimate
Valuation estimate
TextQL leadership team
Management profileNumber of profiles
Profiles1 record
TextQL funding detail
Funding detailFunding overview
Funding rounds3 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
TextQL M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about TextQL
What does TextQL do?
TextQL is an AI-powered data analytics platform that combines an AI agent (Ana) with a purpose-built data warehouse operating within customers' private environments. The platform connects to 50+ data sources (Snowflake, BigQuery, Databricks, Redshift, Postgres, etc.) without ETL and lets non-technical users query enterprise data in plain English. Insights are delivered through conversational Threads, automated Playbooks, persistent Dashboards, and a collaborative Feed where AI agents publish findings.
Is TextQL a public or private company?
TextQL is a private company. It is classified as venture growth investor backed and is currently operating.
When was TextQL founded?
TextQL was founded in 2022. It employs 51 to 100 people.
Where is TextQL based?
TextQL is headquartered in San Francisco, United States, in the North America region.
How does TextQL make money?
Two revenue lines are on record. Subscription - Usage-based SaaS are the primary driver. The others are subscription - Monthly/Annual Plans.
Who are TextQL's main competitors?
Direct peers on record are Mode Analytics, ThoughtSpot, Hex, Sigma Computing and Tellius. Broad incumbents are Domo, Snowflake, Databricks and Microsoft (Fabric Copilot / Power BI). Akkio is listed as an emerging player.
Does TextQL have an API?
Yes. TextQL provides a public API (v2 API) that enables developers to build custom integrations and automate workflows. The API reference documentation is available at docs.textql.com. TextQL also offers an MCP (Model Context Protocol) server integration called 'Ana as MCP Server' that allows developers to integrate Ana's capabilities into external systems. Developer documentation is at docs.textql.com/api-reference/introduction.
What industry is TextQL in?
TextQL's product category is AI Data Analytics Platform. Its primary akta.pro industry code is HDAEAMAD, Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 5132 and its SIC code is 7372.