Six disciplines, one workbench.

Web GIS and interactive mapping

Public-facing and internal map applications, built to be used in the field rather than demonstrated in a conference room. They query your authoritative layers directly, so what a crew sees is what the program's data says right now.

• Public inventory and reporting maps that load in seconds on a phone
• Internal applications for recording observations and treatments
• Direct query against ArcGIS REST services, no drifting copy of your data
• Dynamic field-name resolution, so an upstream schema change does not break the page
• Clustering and server-side paging for datasets in the thousands

Dashboards you own outright

Licensed dashboard products are a reasonable way to start and an expensive way to stay. When a program outgrows one, the same views rebuild as an application you host, with no per-seat cost and no ceiling on who can look at it.

• Rebuilds of existing dashboards, view for view, with the filters staff asked for
• Charts, maps, and tables that always agree because they read one filtered set
• CSV and PDF export of whatever is on screen, for the annual report
• Single-file builds for small programs, PostGIS-backed builds for large ones
• Deployed on your server, your domain, your control

AI where it removes real work

The useful applications of AI in land management are unglamorous: reading paper forms, drafting the narrative that explains a trend, guiding someone through setup. We build those, and we build them so a person is always the last step before data is trusted.

• Photograph a paper field form or packing slip and get a structured record
• Confidence scores per extracted value, and a confirmation screen every time
• Original images retained as an audit trail
• Plain-language narratives generated from your actual trend data
• Guided onboarding that configures an account from a short conversation
• Credentials held outside the page, so a tool can be shared safely

Spatial databases and integration

Most of the trouble with a mapping project is not the map. It is that the same acre exists three times in two systems with different boundaries. The database work is where a project is actually won or lost.

• Normalized schemas designed around the reporting obligation, not bolted on after
• Geometry that validates, with topology problems found before they propagate
• Migration from spreadsheets, shapefiles, and legacy databases
• APIs so permitting, mapping, and reporting all read one source of truth
• Documented structure, so the next developer is not starting from zero

Environmental and compliance monitoring

Programs that monitor something over years have a specific problem: the records accumulate faster than the ability to say what they mean. We build the systems that turn a long record into a trend somebody can act on.

• Noxious weed inventory and treatment tracking, county through statewide
• Biological control release and agent monitoring with multi-year trend analysis
• Site classification by direction of change, not just current condition
• Produce traceability and PTI compliance, including GS1 registration
• Reporting structured so the annual report is a query, not a project

Grant writing and technical documents

The same understanding of a program that makes a good database makes a credible grant application. We write federal and state applications, and the documents that follow the award.

• Federal and state applications with program-compliant language
• Multi-year work plans, Gantt schedules, and deliverables tables
• Evaluation frameworks and budget narratives, including match requirements
• Legislative proposals and agency presentations
• Field guides, manuals, brochures, and newsletters