The dome of the United States Capitol against a blue sky, the Statue of Freedom on top and the colonnaded north wing in the foreground
/ industries

Government

Plain-English answers across agency data — program outcomes, budget execution, and operations — deployed inside your own boundary.

Operationalizing AI from program oversight to the constituent.

The same platform, three ways it already runs inside an agency.

01 / 03
01 program oversight

Track outcomes and spend across every program office in one place — ask how a program is performing against its goals and get the answer from the systems of record, not from last quarter’s slide deck.

1
Program Oversight — Milestones Met vs Plan, FY26
24
Programs
$214M
Obligated
86%
Milestones Met
1
Flagged
Workforce 94%
Broadband 91%
Housing 88%
Research 82%
Transit 54%
↳ transit · award 69A345-24-0117 · $12.4M · 3 subawards behind schedule
[ deployment & control ]

Runs inside your boundary

Single-tenant or fully air-gapped: TextQL deploys inside your own environment, and agency data never leaves it. Ana reads only what your warehouse already lets each person see, and every run it makes is logged — an answer is something you can trace, not something you have to trust.

/ single-tenant or air-gapped/ warehouse-native permissions/ every run logged
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