Public agencies automating document-heavy workflows
How OCR and language models are replacing manual data entry across government desks.
Topic →Automation · platforms · agents
We automate the manual work, build the platform, and put an assistant on top: AI systems proven where the stakes are highest, built for any field drowning in its own complexity.
The problem
One event. Five experts. Five tools that never talk to each other, so the same place gets re-keyed five times and the truth comes out five slightly different ways.
Pick the field. The pattern repeats: fragmented tools, and hours lost re-typing what one system already knew. The work is slow not because the problem is hard, but because nothing connects.
What we build
Most teams need more than a chatbot. We automate the busywork, build the platform, and put the assistant on top, whatever the field.
Any repetitive, rules-based task (data entry, document processing, reconciliation, reporting) handed to an AI pipeline that reads it, structures it, and routes it. Your people review instead of retype.
We build the platform itself (a living digital twin of your data and dashboards), designed around AI from the first line, not bolted on at the end.
A copilot that sits over the system, answers in plain language, and lets anyone explore the data just by asking: no query to write, no training to sit through.
Products
The three moves above aren't hypothetical: we ship them as products. The first one is live today, and more are on the bench.
The data inside FEMA flood studies, finally usable.
Flood Insurance Studies hold the numbers floodplain work depends on: flood profiles, discharge tables, and base flood elevations, locked inside scanned PDFs. FIS Explorer reads them back out: ask questions and get cited answers, pull tables as clean downloadable data, and lift station-elevation coordinates straight off a flood profile by clicking the curve.
The spread
We start where the water runs deepest, then carry the same systems wherever complexity rises.
If it has documents to read, software to run, and decisions to defend, it's a field we can enter.
Signals
A live pull of developments across the fields we work in. updating…
How OCR and language models are replacing manual data entry across government desks.
Topic →Why decision-makers are pushing for auditable, source-grounded AI over black boxes.
Topic →The shift from charts you read to platforms you can ask.
Topic →The crest
Drowning in manual work, scattered data, or a dashboard nobody can question? Let's put an AI system where the work actually happens.