Ana Makes Your Charts Come to Life

Ana now generates interactive charts using ECharts. Hover, zoom, filter, and explore directly in your browser.

TextQL Now Supports OAuth and SSO

TextQL now supports OAuth 2.0 and SAML-based SSO, so your team can sign in through your existing identity provider.

Claude Opus 4.8 is Now Available in Ana

Claude Opus 4.8, Anthropic's latest flagship model, is now available in Ana.

Observability is Live in Ana

A built-in admin view that tracks how Ana is being used across your organization: active users, ACU consumption, connector activity, and more, without requiring you to build anything.

Ana Now Supports Firebolt

Connect Ana to your Firebolt workspace and ask questions in plain English against the same warehouse, on the same data, right now. No ETL, no pipeline changes.

Ana Is Now Available As An MCP Server

Bring TextQL Ana to Claude, Cursor, ChatGPT, Copilot, and any MCP-compatible AI surface. Take your analytics engine anywhere.

Semantic Layers Are a Patch. Ontologies Are the Fix.

Every approach to AI on structured data optimizes for accuracy. None of them scale. Our Ontology does, and it gets faster and cheaper the more you use it.

Audit Logs and Metrics via OpenTelemetry

Stream TextQL audit logs and product metrics into your observability stack. Native OpenTelemetry, Prometheus, and S3 targets, with Datadog, Splunk, Grafana Loki, and Honeycomb support.

Launching Ontology 3.0

Ontology 3.0 makes Ana faster, more token-efficient, and more accurate than before, with a git-backed knowledge graph that lets Ana scale context across organizations of any size.

Ana Now Connects to SAP HANA and HANA Cloud

Connect Ana to your SAP HANA or SAP HANA Cloud instance and ask questions about your data in plain English. No SQL, no data engineering request, no waiting.

Ana is now on Microsoft Teams

Ana now lives inside Microsoft Teams. @mention Ana in any channel, get scheduled playbook reports, and let each team teach Ana its own context — full feature parity with the Slack integration.

Notifications Hub

The Notification Hub gathers mentions, shares, access requests, and admin announcements into one place in your left sidebar, so nothing important slips past you.

Dashboards 2.0

We doubled down on dashboard infrastructure. 2.0 ships parallel data loading, full Plotly Dash support, parameterized queries, dedicated sandcastles, incremental edits, draft/publish state, and built-in usage analytics.

TextQL Raises $17M, Anchored by Blackstone Innovations Investments, to Help Bring Intelligence to Enterprise Data

TextQL closes $17M in strategic investment anchored by Blackstone Innovations Investments to scale AI-native analytics infrastructure for the enterprise.

Introducing API Connectors

Your warehouse has your historical data. Your SaaS tools have everything else. Now Ana can reach both in the same conversation, securely, with no tokens exposed.

From Conversation to Application: Introducing Persistent Dashboards

Your entire team can now use live, interactive dashboards that refresh on schedule — all built through conversation with Ana.

Ana Just Got 25% Cheaper

We cut Sandcastle lifecycles from 4 hours to 1 hour — most customers see costs drop by 25%, API users by 50%.

Introducing Sandcastles - the Sandbox for Analytical Workloads

Purpose-built sandbox infrastructure for AI data agents: isolated containers, Apache Arrow streaming, and unified access across enterprise data sources.

Why I'm Joining TextQL

After years in partnerships, Brian Bickell saw Ana answer real questions over real data in minutes. That convinced him to join TextQL as Head of Partnerships.

TextQL Launches into Healthcare Vertical

TextQL launches purpose-built data agents for healthcare — analytics and reconciliation across EHRs, claims, and pharmacy systems.

Ivy Teng: From McKinsey to TextQL

Here's how failing four visa lotteries led me from McKinsey to TextQL, and why I've never been more excited about the future of data.

Ana in Slack

Hey, can you pull last quarter's conversion rates by channel? Just need it for a 2pm meeting. Should take five minutes.

Playbooks Launch: Ana Now Runs Autonomously

Playbooks let Ana run your most important analyses on a schedule -- overnight reports, weekly health checks, and recurring insights delivered without lifting a finger.

Ana Launch

TextQL launches Ana, an agentic data scientist that replaces the three-week data request cycle with 90-second answers.

Making AI That Can Process 1,000,000x More Data

Your AI can analyze 1GB of data. Your enterprise has 1,000,000 times that. Here is how we closed the gap.

Guide to Analytics Agent Levels for CIOs

Like autonomous cars, analytics AI has 5 distinct levels. Most companies are stuck at Level 2 text-to-SQL while Level 5 systems reshape entire industries.

Beyond Guesswork

We benchmark GPT-4, Claude 3.7, and Qwen3 on 158 Fermi estimation problems, testing three prompting strategies to find which model reasons best under uncertainty.

Benchmarking AI Vision with Puzzles

We test five multimodal AI models from OpenAI, Google, and Anthropic on visual puzzle-solving -- algebra, geometry, chess, and pattern recognition from a new public dataset.

Open-Sourcing State of the Art Text-to-SQL

TextQL open-sources Ana Small, a barebones text-to-SQL tool that outperforms every major competitor on complex benchmarks -- and it is free to use.

Top 10 AI Analytics Tools for Data Insights in 2025

Review and compare 10 leading AI analytics tools for data insights, including TextQL, Power BI, Tableau, and more, with features and use cases.

AI Data Insights Providers for Enterprise Data Visualization

Explore how leading AI Data Insights firms accelerate enterprise decisions with interactive AI data visualization tools built for Snowflake integration.

AI Data Insights vs Traditional BI: Analyst Toolsets Compared

Compare AI Data Insights and traditional BI tools for analysts, including automation, dashboards, NLP accessibility, scalability, and enterprise support.

Our Ontology-Based Text to SQL Generation Process

A detailed walkthrough of how TextQL transforms natural language into SQL using ontologies

Why We Use an Ontology for Text to SQL

Why we abandoned LLM-generated SQL after 12 months and built an ontology architecture that gives AI models structured tracks to follow.

Embedding Models and When to Use Them

A deep dive into the underrated capabilities of embedding models and their role in AI reasoning

Supabase & TextQL: Instant Insights from Your Startup's Data

Introducing our friction-free connector that lets Ana perform AI-powered analytics on your Supabase tables

Tableau & TextQL: Augmenting Your Dashboards with Generative AI

Introducing a seamless integration between Tableau and Ana, bringing natural language insights to your visualizations

Haskell in Production: TextQL's Ontology Service

How we use Haskell to build a reliable and maintainable ontology service for enterprise data

Announcing TextQL's SOC II Report

TextQL achieves SOC 2 Type I compliance, demonstrating our commitment to security and data protection

TextQL Joins NBA Launchpad to Revolutionize Fan Data Analytics

Partnering with the NBA to transform how the league understands and engages with fans through AI-powered analytics

Announcing our $4.1M fundraise from DCM & Neo to make data driven operations instantaneous

TextQL raises seed funding to transform how enterprises interact with their data

Building the Most Advanced Data Agent

How we built Ana to join 250+ tables and handle enterprise-scale data analysis with the Dakota Architecture.

What If The Model Isn't Good Enough?

A deep dive into improving AI SQL generation through iterative context enhancement

TextQL's Ten Year Thesis

How AI agents, natural language interfaces, and automated ontologies will reshape enterprise analytics over the next decade.