Insights.

Field notes from deploying today's AI inside real organizations — federal agencies, commercial operators, and the data infrastructure underneath both.

Published monthlyWritten by the teamUpdated September 2026

— Featured

Why we built ResponseRail to grow our own government business.

Our GSA MAS contract created more opportunity than a small team could process manually. We rebuilt the response workflow end to end, and that workflow became ResponseRail.

Insights.

Why we built ResponseRail to grow our own government business.

Why I Brought StandardData Home to Austin

Federal-grade digital preservation, proven at the scale of a historical newspaper preservation program.

Beyond Out-of-the-Box: Enhancing Structure in OCR and PDF Text Extraction

The Importance of Preparing Manufacturing Data Now

A telematics data layer rebuilt on Elastic: 20× faster ingestion, ~94% lower infrastructure cost, and reports in seconds instead of weeks.

Front-loaded validation, AI schema mapping, and observability for a legacy healthcare archive — proof of concept to board in about three weeks.

StandardData Secures GSA Multiple Award Schedule Contract

This is Why Your AI Plans Might Be Doomed

How to Make AI Work for the Public Sector: From Data Swamp to AI Ready

StandardData Launches AI-Powered JFK Assassination Records Search Tool to Advance Transparency and Historical Research

OpenAI’s Premium Agents: Writing on the Wall or the Wall Itself?

The AI Frontier: Preparing your Organization’s Data

Unexpected Benefits of Preparing Data for AI-Readiness

Future-Proof Historical Data With Open-Source Optical Character Recognition (OCR)

ChatGPT Has a Lot to Say in New Update

Response to Sam Altman’s Senate Hearing, A Small Fish’s Plea

Don't Use SQL to Process Data

Field notes from the work.