Real engineering work for technical organizations: operational bottlenecks, scientific scale, and software that teams can run—plus products we build and operate end to end. Explore our services or learn about our approach.
Selected collaborations where we helped turn messy data and workflows into systems and deliverables.
Problem
Ecological monitoring across vast landscapes produced diverse datasets without a single operational system for teams to act on.
Outcome
Delivered a full-stack application with cross-disciplinary partners so ecological health signals could be explored and used consistently at scale.
Problem
Bird population research in the Greater Yellowstone Ecosystem needed autonomous sampling infrastructure and analytics that could keep pace with field reality.
Outcome
Built autonomous sampling systems and analytical methods to quantify trends and drivers—turning complex field programs into repeatable measurement pipelines.
Problem
Evaluating manta ray populations in Florida required rigorous analysis and clear deliverables—not ad hoc spreadsheets—so science and outreach could align on the same story.
Outcome
Partnered with the Florida Manta Project director to analyze data and produce distribution insights stakeholders could trust and reuse.
Problem
Internal operations (GIS, HR, payroll, invoicing) and exploration workflows were split across brittle tools that did not scale with the business.
Outcome
Shipped internal full-stack systems for core operations and deep learning architecture for a mineral exploration application—one engineering partner across software and ML.
Original modeling and analysis work.
This project investigates whether loop-shaped marine propellers may reduce laceration risk to large marine wildlife. Using CAD-derived geometry, Monte Carlo encounter simulations, computational fluid dynamics (OpenFOAM), and finite-element contact modeling (FEBio), conventional and loop-shaped propellers were evaluated under matched simulated encounters.
Across multiple independent modeling approaches, the loop-shaped geometry consistently produced lower modeled laceration-related tissue-loading proxies than the conventional propeller, with the greatest differences attributed to reduced exposed cutting-edge geometry rather than changes in encounter probability. While these findings do not constitute biological validation, they provide encouraging evidence that propeller geometry may play an important role in reducing injury severity and establish a framework for future experimental validation.
Software we design, build, and operate—each tied to a clear user and operational problem.
Problem
Anglers and charter captains needed a decision tool that turned shifting on-the-water conditions into actionable guidance—not another static map product.
Outcome
Built the first AI-enhanced, geospatially driven Florida fishing application alongside captains, anglers, and data scientists who know these waters.
Problem
Fishing charter captains and small teams were juggling bookings, deposits, reminders, and customer records across messages, spreadsheets, and disconnected tools.
Outcome
Shipped a mobile-first Progressive Web App with a production API: public booking pages with Stripe, shared workspaces for crews, calendar operations, CRM, and automated customer messaging—one system from inquiry to paid trip.
Problem
Bicycle, ski, and outdoor rental operators needed operational software that matched how shops actually run day to day.
Outcome
Delivered rental operations software purpose-built for the industry—from inventory to customer flow—so teams could run the business, not fight the tool.
Problem
Field teams needed ecological logging that worked offline, stayed flexible across study designs, and synced cleanly when connectivity returned.
Outcome
Shipped a field-first ecological data logging app: offline-capable, highly customizable, and designed to simplify collection without sacrificing structure.
Let’s discuss your data, software, or infrastructure needs—we will respond with a practical view of scope, risks, and a credible path to production.