Can a reviewer see how an answer was reached?

Yes. Every answer ships with the work behind it — the tables it touched, how it joined them and the filters it applied — so an analyst, a model-risk reviewer or an auditor can check it line by line.

How long before our teams get a first answer?

A pilot is scoped to one question and one or two sources — a fund’s exposure report and the tables behind it, say — so your team sees answers on its own data early.

Does it replace our monitoring platform, OMS or BI tools?

No. TextQL reads the systems you already run and works alongside them — it answers the questions they were not built to ask, across all of them at once.

Who defines what a metric like exposure means?

Your team does. Definitions live in the ontology as reviewed, versioned files in your own repository, so every agent and analyst uses the same one.

/ solutions / financial services

TextQL for Financial Services

For hedge funds, asset managers and banks: agents that read every position, trade and wire — and catch the pattern before it becomes the finding.

Book a demo Explore solutions

in production at Blackstone

soc 2 type iiruns in your cloudnever trained on your data

An AI-Powered Operating System for Financial Services

Infuse research, portfolio monitoring, investor reporting and compliance workflows with AI-driven automations — for hedge funds, asset managers and banks, on one ontology your firm owns.

Connected solutions + automations

- Dataset search
- Vendor-feed overlap
- Answers with lineage
- Exposure by issuer
- Limit breaches
- Benchmarking
- Quarterly LP letters
- Capital calls
- Fund performance
- Alert triage
- Relationship tracing
- Case preparation
- Payment anomalies
- Card velocity
- Account takeover
- Covenant tracking
- Grade migration
- Concentration limits

[ alternative asset management, in production ]

TextQL collapsed the gap between question and answer — across petabytes of data, in seconds.

tables made queryable in plain English

1000s
of rows reasoned across by Ana

Billions
to schedule a recurring analytics workflow that runs itself

1 prompt
Read the Blackstone story

[ your first answer ]

Bring the Question Your Firm Can’t Answer Today

Pick one — an exposure you can’t see across funds, an LP report rebuilt by hand every quarter, an alert queue. We run it against your data, in your environment, and show your team the answer and the records behind it.

Book a demo Talk to an expert

01 Pick the question A 30-minute call to choose the question and the sources
02 Connect in your cloud We connect inside your cloud — nothing leaves your environment
03 Check the answer Your team checks the answer against the records it came from

questions firms bring first

Do we already license a dataset that covers this? Data Discovery
What is our exposure to this issuer across every fund? Portfolio Monitoring
What did each fund return net of fees this quarter? LP & Investor Reporting
Which alerts share a customer with a prior case? Anti-Money Laundering
Which payments broke their account’s usual pattern today? Fraud Detection
Which borrowers are closest to a covenant breach? Credit Risk

[ the platform ]

The Platform, in Your Firm’s Terms

Three layers, one deployment. Each is a page of its own when your technical team wants the detail.

/ connectors Every System You Run Order-management, fund-admin, market-data and core banking data wherever it lands — Snowflake, Databricks, SQL Server, Oracle — read in place, never copied out. / ontology One Model of the Firm Funds, positions, transactions and customers defined once — exposure, NAV and an alert rule mean the same thing to every agent. / agents Work That Runs Itself Agents that watch limits, assemble the quarterly LP report and triage alerts on a schedule — every query logged for audit.

[ security ]

Built to Pass Your Security Review

SOC 2 Type II Audited annually. The report is available on request through the trust center.

Your Cloud, or Air-Gapped Deploy in your VPC or fully disconnected. Customer, transaction and position data never leave your environment.

Every Query Logged Each question, each agent run and the data it touched, recorded with the user who asked — SOX-ready by design.

Never Trained on Your Data Your customer, trading and portfolio data are not used to train models — ours or anyone else’s.

/ soc 2 type ii/ runs in your cloud/ never trained on your data

Visit the trust center

[ faq ]

What Teams Ask Before They Start

Talk to the team

No. TextQL deploys in your own cloud account or an air-gapped environment and queries your data in place. Every query is logged with the user who asked it.

[ try textql ]