Engineering for software whose behavior matters most on the day everything else is going wrong.
The Tough
Technology Stack™
- 05
TOUGH SHIELDTesting & assurance
Proves the system works — and keeps working when things go wrong.
- 04
TOUGH SIGNALAI & decision support
Models put to work where the answer has to be checkable.
- 03
TOUGH COREServices & integration
The Rust services that do the real work, and the connections between them.
- 02
TOUGH DATAStorage & data models
Where your data lives, how it is structured, and how it moves.
- 01
TOUGH EDGEDevices & hardware
Software that runs on the board, the sensor, and the controller.
Know how it fails before it does.
Dependable systems are not the ones that never encounter trouble. They are the ones whose designers wrote down what trouble looks like, decided what the system should do about it, and then proved it does that.
We push failure analysis to the front of the work: what the system must do, what it should do when its assumptions stop holding, and what evidence would convince a skeptic. The depth of rigor is set per engagement — any formal assurance, accreditation, or certification path is scoped and agreed separately.
Requirements & failure analysis
Expected behavior, real constraints, and the failure conditions worth engineering against, ranked by what they actually cost you.
Resilient system behavior
Error handling, recovery paths, blast-radius boundaries, and a defined degraded mode instead of an undefined one.
Verification strategy
Tests and reviews aimed at consequential behavior and integration risk — not at a coverage number that proves nothing.
Operational readiness
Diagnostics, observability, and runbooks written for the person paged at 3 a.m. who did not build the system.
A system with demanding reliability requirements, a design whose assumptions need challenging, or software heading into an environment that will not forgive it.
Bring us the hard part.
Let’s talkSend the messy version. The half-formed problem, the diagram you’re embarrassed by, the deadline you’re worried about. That’s the useful first email.