SprintiQ™Earmark AG
An AI program-intelligence tool for farmers and the USDA Farm Service Agency staff who serve them. One application, two front doors: a farmer matches programs and submits directly; an FSA agent does the same at the county office. Knowledge that used to live in binders becomes a queryable layer.
USDA program complexity hits both sides of the counter.
The farmer side: an operator who just lost a crop has to know which of dozens of federal programs they qualify for, how payments are calculated, which forms apply, and when the disaster loan window closes. The information exists, buried in hundreds of pages of policy.
The FSA side: county staff hold that knowledge in their heads and in binders. Hard to scale, hard to transfer, slow to apply. Either way, the result is days or weeks of back-and-forth between a farmer in need and the resources meant to reach them.
Operation profile in.
Action-ready case out.
A farmer or an FSA agent enters the operation profile, acreage, crops, losses, county. Earmark does the rest.
Matches every program
Instantly identifies every USDA program the operation qualifies for, given the specific profile entered.
Estimates the dollars
Calculates payment estimates against official state payment schedules, so the user has real numbers, not ballparks.
Flags the windows
Surfaces open disaster loan windows with exact days remaining, so nothing expires unnoticed.
Fills and submits the applications
Identifies the required forms, completes the applications, and submits them. Farmer-initiated submissions route to the FSA for final approval, so Earmark accelerates the workflow without bypassing the agency's authority over the outcome.
Grounded in the source documents, not approximated.
Earmark runs on a RAG pipeline over the official USDA corpus: FSA disaster designations, NRCS payment schedules, RCPP project data, eligibility forms. Its answers are grounded in actual policy, not a model's approximation. That matters in government, where a tool that hallucinates eligibility is worse than none. Every match, estimate, and deadline traces back to a source document an agent can verify.
The effect: knowledge locked in binders becomes a queryable layer for every farmer and every FSA office. What took days or weeks compresses into minutes, with clean, properly-completed submissions for staff to approve.
Concept to launch
in three days.
A government-grade RAG tool over a real policy corpus, shipped in three days on SprintiQ Turbo.
Earmark is not a toy. It ingests a structured corpus of federal policy, reasons over eligibility logic, calculates dollars against official schedules, and produces completed applications, a non-trivial surface for any timeline. SprintiQ Turbo shipped it in three days: tight story scoping, deliberate routing between human spec and agent execution, tech debt cleared at every step.
Three days is the headline; the real claim is discipline. Earmark shipped fast because the orchestration layer kept the build coherent, not because it skipped the parts that make software trustworthy.
In procurement.
Earmark AG is built and in procurement for deployment to USDA Farm Service Agency offices.
Other projects.
Each one built on SprintiQ, each one a different proof of what the practice can do.
Have a corpus
like this?
If your organization runs on institutional knowledge trapped in documents and individual expertise, that is exactly what Earmark's architecture was built to solve. Email the principal directly.