Training data · RAG · Local LLMs

AI built on data and models you control

Maple AI provides Canadian training data, retrieval-augmented generation over your own documents, and large language models that run locally, inside your perimeter, where you can audit them.

What Maple AI provides AI Strategy

Canadian training data
Answers grounded in your documents
Models that run in your perimeter

What Maple AI provides

Training data
Canadian training data whose provenance is documented, so you know what a model learned from and can show it.
- Canadian material
- Documented provenance
- Ready for review
RAG
Retrieval-augmented generation: a model answers from your own documents, and can point to the passage each answer came from.
- Answers from your documents
- Sources you can check
- Your knowledge, kept current
Local LLMs
Large language models that run on infrastructure you control, next to the data they work with, where you can audit them.
- Open-weight models
- Inside your perimeter
- Your data stays with you

Your data, your models

With local models and retrieval over your own files, your documents, prompts and answers stay under your control from start to finish. For regulated data, that is the foundation everything else is built on.

Start with AI Strategy

Maple Open Tech’s AI Strategy service helps your organisation navigate the AI landscape: which uses are worth pursuing, what your data allows, and which models fit. It is the natural first step before choosing what Maple AI builds for you.

A use-case review, ranked by value, risk and effort
A data boundary that says what may go to a model
Local and private model options, costed side by side
A written policy your staff can follow, in a page

AI Strategy

Let’s find where AI helps you most

Tell us what your team works with and what you would like AI to do for it. We will come back with a plan that keeps your data in your hands.

Start a conversation