Trustworthy AI
The system explains itself, admits uncertainty, and refuses to guess with someone else’s data.
Approach
A written scope, then the work.
We price from a scope. The scope names the first release, the risks, and the work we will not do.
- Research
Study the users, the constraint, and the way the idea fails before writing code.
- Design
Prototype until the complexity is gone and the remaining work is obvious.
- Build
Engineer with a clear architecture and a performance budget.
- Validate
Test AI output against evidence, and test the product against the task.
- Ship
Release with a privacy review and a way to roll back.
- Improve
Measure what people actually do, then change the product.
Principles
What we will not trade away.
Validation before release
Recommendations are checked against evidence and real cases before a person has to trust them.
Privacy by design
Collect the minimum. Process on the device when that is possible. Never sell what is not ours.
Engineering craft
Architecture, performance, and the curve of an animation are the same job.
Native when it matters
We use the platform’s own tools when response time and battery are part of the product.
Long engagements, short promises
We write a scope before we start, and we build for the life of the product rather than the week of the demo.
Disciplines
Where the work sits.
Evidence-based AI
Outputs are checked against a written standard before they reach a person.
Machine learning
Personalization and on-device inference, sized to the decision.
Human-centered design
The interface is designed for the room the product will be used in.
Health and training science
Where the product gives guidance, the guidance has a source.
Privacy engineering
Data flow is a design decision, made before the first request leaves the device.
Software engineering
Clear architecture, tests around the risky parts, and performance as a feature.
Technology
Tools we already ship with.
Chosen for the product in front of us. Native when response time matters. On-device when the data is personal.
SwiftSwiftUICore MLOn-device AILarge language modelsEvaluation harnessesHealthKitApple WatchVector searchTypeScriptNext.jsCloud infrastructure
Talk through a scope