AI as an engineering discipline
We don't ship vibes. Our systems are versioned, evaluated against real data, and transparent about their limits.
Measured, reproducible, swappable
Versioned everything
Models, prompts, and configs are versioned like code. Every result can be traced back to exactly what produced it.
Swappable backends
We keep a clean interface between our products and the underlying models, so we can run hosted or local — and switch as needs change.
Evaluated before promotion
Candidate models are scored against labeled data. Nothing reaches production unless it measurably beats what's already there.
Structured & honest output
Schema-enforced results with confidence and clear limits, so downstream systems — and people — know what they can rely on.
What powers Light Switch AI
A modern, boring-where-it-counts stack: React on the front, C# on the back, models in the middle, all on Azure.
Next.js + React
Fast, accessible, SEO-friendly web experiences.
.NET / C# APIs
Backend services built on ASP.NET Core minimal APIs.
AI models
Hosted and local models behind one provider-agnostic interface.
Versioned data
Labeled datasets with provenance that power continuous evaluation.
Azure
Containerized services on Azure App Service, fronted by a CDN.
Spec-driven CI
Every feature ships from a spec, with tests and a passing pipeline.