We serve all tech stacks
We understand that companies today must develop custom software products to keep pace with a competitive market. So we meet your stack where it already is — and we are honest when a different tool would serve you better.
The stack behind our AI work
Model choice is an engineering decision, not a brand loyalty. We benchmark against your own evaluation set and pick per workload — then keep the abstraction thin enough to switch.
Models & providers
Hosted APIs where speed to market wins; open-weight models where data residency, cost at volume or on-premise deployment wins.
Frameworks & libraries
Orchestration, tool calling and retrieval on top of a plain Python service layer — so the AI parts stay testable like any other code.
Every AI feature ships with a scored test set. If a model or prompt change regresses it, CI fails.
Token and latency budgets per endpoint, with caching and model routing to keep unit economics sane.
PII minimisation, redaction before third-party calls, and clear data-retention settings per provider.
Languages, frameworks and platforms
Front end
Back end
Mobile
Cloud & DevOps
Data & storage
QA & tooling
Partnerships & certifications
Formal partner status and vendor certifications, listed with the credential so a prospect can verify each one.
assets/img/partners/ and only list vendors where Moi-Techs holds a current partnership
or certification — see CONTENT-TODO.md.
Simplifying business with smart software
Twenty verticals, each with its own regulators, integrations and failure modes. Where a domain needs specialist compliance knowledge we say so up front.
Tell us your stack
Already on Laravel and moving to Go? Sitting on a .Net monolith? Weighing hosted models against open weights? Those are our favourite conversations.