Founded in 2020, StandardData builds data infrastructure and AI workflows for federal and commercial organizations. We created ResponseRail to scale our own government response process—and bring that same practical approach to our clients.
Is your organization prepared for agentic transformation? What holds results back isn't the model anymore. It's getting it deployed, fed with the right data, and actually used by the people who were supposed to use it. Every organization still waiting for the next frontier release is paying for that wait right now.
We built StandardData around that, and it's why we can operate like a big consultancy but deliver like a startup. We run our own delivery on AI and with polymathic teams, so we deliver faster, cheaper, smarter. We've already fought the politics and the legacy systems and the people who didn't want anything to change. We don't bill clients to learn on the job.
Bring us the problem. We bring the team.
Our GSA MAS contract opened a path to more federal business. Evaluating opportunities and preparing responses put new demands on a small team already delivering client work.
We applied our data engineering and AI experience to the whole response process. That internal workflow became ResponseRail, now available to other firms.
Past performance, capabilities, partner roles, and the evidence behind them.
Opportunity assessment, requirements analysis, drafting, and checks in one workflow.
An editable response with open questions, ready for the team's judgment and final review.
The lesson carries beyond proposals: useful AI needs the right company knowledge, checks that catch gaps, and a result people can use in their everyday work.
Founder & CEO
Founded StandardData in 2020 and leads the business behind ResponseRail. Prior key-personnel work spans DHS/CBP under-vehicle scanning, Cox Automotive's commercialization of that technology at Manheim, and DOE-funded deep learning research at the Texas A&M Cyclotron Institute, with results published in Nature Communications.
Chief Technology Officer
Production agent and data infrastructure leadership across federal and commercial deployments. Prior key-personnel work includes forward-deployed engineering for Army software, development of agentic customer experiences for healthcare facilities, and more. Technical depth across model providers, retrieval pipelines, and the data systems that determine if any of it actually ships.
