We work on greenfield products, legacy modernization, integrations between systems that have to agree with each other, and the operational software those systems depend on.
End-to-end web and mobile product development on modern stacks. Built to ship and built to live with.
In practice
Nutraplanner — Design and engineering for clinical SaaS
Pipelines and integrations for systems that have to agree with each other — clinical, payer, utility, or operational.
In practice
Policy Reporter — Engineering on payer-data products
Engineering posture for regulated environments. We design for the constraint instead of around it.
In practice
Curve Compliance — Engineering on HIPAA-compliant analytics platform
Move legacy systems forward without losing the institutional knowledge baked into them.
In practice
Envirosoft — Technical lead on emissions forecasting platform
Internal tools and AI-augmented workflows that take repetitive, error-prone work off your team.
Senior engineering at the table when you need it — without hiring for it permanently.
Most of our work falls into one of three patterns. Picking the right shape upfront is half the work.
6–16 weeks typical
Scoped work with a defined outcome — a new product, a migration, a discrete feature.
Best fit: You know what you need built and want a team that can deliver and hand it off cleanly.
Monthly, rolling
Ongoing capacity for product work, maintenance, and the small things that keep adding up.
Best fit: You have a product in market and want a steady engineering partner instead of an in-house build-out.
Hours or days per month
Senior engineering input at the points where it changes the outcome — architecture, hiring, technical risk.
Best fit: You have a team or a vendor but want an outside voice on the technical decisions that matter.
Short, focused workshops to understand the system, the constraints, and what success looks like.
Architecture, data model, and product surface designed against the real constraints — not an idealized version.
Iterative delivery with the people who'll operate the system. Shipping small and often, not big and late.
Observability, runbooks, and a handoff that doesn't leave your team holding a black box.
Send us a few sentences about the system, the constraints, and the timing. We'll come back with whether we're a fit and what the first phase could look like.
