TextQL

The Sovereign Ontology for Enterprise AI.

[TextQL @TextQL]

95% of Healthcare data lives in petabytes of SQL databases
The tools for AI to use that data haven't existed
Today we fix that with TextQL Healthcare

100,000+ tables. Trillions of rows. Petabytes of data. 15 minutes to insights. Epic systems with 100,000+ tables. Cerner environments. Claims databases. Clinical notes. Prior authorizations. Healthcare organizations have more data complexity than any other industry - and exactly zero AI platforms built to handle it.

Until now.

Here's what makes it different:

1. Direct access to ALL your systems. No migration required. Epic + Cerner + Claims + Snowflake + Databricks. Everything. At once. Other platforms: 6-month ETL projects. TextQL: Connect Monday. Query Tuesday. First insights in 15 minutes.
2. Healthcare-compliant execution environment. Autonomous agents running production code in SOC 2 Type II, HIPAA-compliant infrastructure. Full audit trails. On-premise deployment available.
3. Structured AND unstructured data. Simultaneously. Everyone else: Claims records OR clinical notes. Us: Both. At the same time. Make sense of 100,000s of tables without months of data prep.

We're not launching with pilots. We're launching with Lumeris - powering their Tom™ AI platform delivering care to millions of Americans. Live partnership. Production workloads. Enterprise healthcare data at scale.

Advisory Board of operators who've run organizations serving 120M+ Americans:
- Varsha Rao (former CEO Nurx, COO Clover Health)
- David Griffith (Trinity Life Sciences, ex-Pfizer)
- Sam Mohanty (former CDO, Prime Therapeutics)
- Jean-Claude Saghbini (CTO, Lumeris)
- Raghu Chandra (30 year EHR Veteran)

These aren't advisors. They're the people who built the systems we're now optimizing.

Meet us at HLTH Conference next week - Booth #4060
Or request a demo: https://t.co/6kJJRvwC4K

Comment "HEALTHCARE" and we'll reach out for a customized demo!

[TextQL @TextQL]

View the full benchmark →
https://t.co/N1ZdKOwewM

[TextQL @TextQL]

Claude Fable 5.2 debuts at 70.2% on Decision-Bench.

It's the best model we've ever seen for long-horizon data tasks. It's also the most expensive, at 3x the cost of Opus 5.5.

[TextQL @TextQL]

View the full benchmark →
https://t.co/N1ZdKOwewM

[TextQL @TextQL]

Muse Wonder achieves 34.0% on Decision-Bench, our frontier benchmark for data-driven decision making.

It improves substantially from Muse Spark’s 19.8%, but at over 2x the cost: Wonder uses fewer output tokens, but each one costs 3x more.

[ethan ding 📊 @TheEthanDing]

Introducing Decision-Bench, a new industry standard for measuring model capabilities in making ROI-positive decisions on messy enterprise data.

Every enterprise has slowed AI investments due to no ROI; AIs still fail at complex decisions, and pricing second order effects.

[TextQL @TextQL]

Read more 👉 https://t.co/zsIRz1INHq

[TextQL @TextQL]

TextQL’s Ontology is now generally available.

Business context and executable logic, together in files agents can read and use, and your team can review, version, and own.

Business as code, built for the way agents work.

[ethan ding 📊 @TheEthanDing]

AI powered Decision Factory

coming soon to your enterprise

[TextQL @TextQL]

Read more: https://t.co/x9gUmFcR4S

[TextQL @TextQL]

Dropbox is now connected to Ana.

Ana can read the contents of your PDFs, docs, spreadsheets, and Paper docs — not just search filenames.

Ask questions across Dropbox and your other connected data sources in one place.

Available today to all TextQL customers.

[TextQL @TextQL]

Read more: https://t.co/pjfKXOM0PR

[TextQL @TextQL]

Fable 5.1 is now live in Ana.

Faster. Stronger on coding. Up to 45% cheaper on agentic workloads.

That means deeper investigations and long-running agents in Ana just got faster and significantly cheaper to run at scale.

Select Fable 5.1 from the model picker.

[TextQL @TextQL]

https://t.co/ckiiGXSFvc

[TextQL @TextQL]

♠️ TextQL is growing our engineering team, and we'd rather meet you over cards than over a whiteboard.
We're hosting a friendly poker night on Wednesday, August 26 in our new NYC office.
All experience levels welcome. RSVP in comments ↓

[TextQL @TextQL]

@isnortmatcha [redacted]

[TextQL @TextQL]

@992rodney @PalantirTech "us" lol

[TextQL @TextQL]

Read more: https://t.co/f0VghrzZmO

[TextQL @TextQL]

Yesterday, we launched Data Apps to all customers. Today, Aaron Zhu walks you through how to build a working Data App from a single prompt.

He shows how to build a data reconciliation workflow: a leasing intake portal that takes messy broker reports and uses an agent to validate them. The agent surfaces anomalies, brings in human input where needed, and writes clean, validated rows back to the warehouse.

This is just one example. In the blog post below, we're rounding up a few more data apps that impressed us, for inspiration.

[TextQL @TextQL]

Read more: https://t.co/xRgworppDJ

[TextQL @TextQL]

Meet Data Apps.

We took what makes low-code and no-code app builders great: speed, no engineering bottleneck. And applied it directly to enterprise data.

The result: fully operational apps built in one or two prompts. Accurate. And fully enterprise-ready out of the box, with version control and RBAC built in, not bolted on afterwards.

We're offering free credits to Team and Enterprise organizations building their first three data apps. Try it today by describing what you want to build in a new chat. That's it.

Learn more about customer examples in our blog post below 👇