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TextQL for Private Equity

Agents that read every portfolio company’s numbers — and flag the miss before the board meeting, not after.

in production at Blackstone
soc 2 type iiruns in your cloudnever trained on your data

An AI-Powered Operating System for Private Equity

Infuse portfolio monitoring, value creation, integration and diligence with AI-driven automations — on one model of every company you own.

Connected solutions + automations

    • Portfolio KPIs, one view
    • Covenant headroom
    • Early warning
    • EBITDA bridge
    • Initiative tracking
    • 100-day plans
    • Chart-of-accounts mapping
    • ERP consolidation
    • Synergy capture
    • Data-room analysis
    • Quality of earnings
    • Customer cohorts
    • Monthly packs, collected
    • LP-ready metrics
    • Late & missing data
[ private equity, in production ]

“When I walked out of the first meeting with TextQL, I thought, wow, this is a product that many of our portfolio companies could benefit from.”

John Stecher · Chief Technology Officer, Blackstone
Watch the story
  1. Blackstone

    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 Portfolio Can’t Answer Today

Pick one — a company drifting off plan, a lever behind its bridge, a pack rebuilt by hand every month. We run it against your data, in your environment, and show your team the answer and the rows behind it.

Book a demo Talk to an expert
  1. 01 Pick the question A 30-minute call to choose the question and the companies
  2. 02 Connect in your cloud We connect inside your cloud — nothing leaves your environment
  3. 03 Check the answer Your team checks the answer against the ledgers it came from
questions deal teams bring first
  • Which portfolio companies are off plan this quarter? Portfolio Intelligence
  • Which value-creation levers are behind their bridge? Value Creation
  • How do the new company’s accounts map to ours? Post-Acquisition
  • What does the data room say about customer churn? Due Diligence
  • Which companies haven’t sent this month’s pack? Portfolio Reporting
[ the platform ]

The Platform, in Your Portfolio’s Terms

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

read in placeone modelnetsuite · sage · fund adminTextQL · Portfolio Ontologyagents + appsAGENTS + APPS · RUN BY ANA
/ connectors Every System They Run Each company’s NetSuite, Sage or Oracle ledger wherever it lands — Snowflake, Databricks, SQL Server — read in place, never copied out. / ontology One Model of the Portfolio Funds, companies and KPIs defined once — EBITDA, net debt and headroom mean the same thing for every company and every agent. / agents Work That Runs Itself Agents that collect the monthly packs, check them against the ledger and flag the miss before the board meeting — every query logged.
[ 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. Portfolio and deal data never leave your environment.
Walls Between Funds Role-based access and workspace isolation follow your fund and deal-team structure — a team sees only what it is cleared for.
Never Trained on Your Data Your portfolio, deal and LP 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 reads each company’s ledger and reporting where it already lives, and maps them onto one model — the companies keep their ERPs.

[ try textql ]

Bring Us Your Hardest Problem