Applied AI for teams past the prototype — retrieval, evaluation, and the engineering that decides whether it holds up.
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.
The model is the easy part.
A demo that impresses a room and a feature people rely on every day are different engineering problems. The distance between them is retrieval quality, evaluation, failure handling, latency, cost, and knowing which questions the system should decline to answer.
We treat an AI feature the way we treat any component with uncertain inputs: define what correct means, measure it, and design everything around the model so a bad answer gets caught, contained, or clearly labeled. Then a prompt change becomes an experiment with a result instead of a vibe.
Applied LLM systems
Retrieval, tool interfaces, structured outputs, and orchestration built so behavior can be traced, tested, and changed without guesswork.
Evaluation & measurement
Task-specific eval sets and regression harnesses tied to the decision the system supports, so you can prove a change made things better.
Data & retrieval design
Chunking, indexing, permissions, and freshness — the unglamorous data work that moves answer quality far more than swapping models does.
AI strategy & review
An honest read on where AI pays for itself, where ordinary software is cheaper and safer, and what running the thing will actually cost.
A prototype that has to become a product, an AI feature nobody can measure, or a team deciding whether a model belongs in the workflow at all.
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.