The task we start with.
A business wants AI assistance with internal information, but needs to understand the hardware requirements, quality of the answers and any cloud connections. A model running locally is one part of that decision; the tools, storage and network access matter too.
How we approach the work.
- Map the task, the documents involved and the people who will review answers.
- Choose a model and a practical hardware configuration to test.
- Run a small evaluation using agreed examples, including questions the system should decline.
- Document output quality, errors, speed, memory use and cloud dependencies.
What a project can include.
A scoped feasibility review or pilot, configuration notes and an evaluation summary. Model weights and benchmark publications are research work in progress, rather than a promised deliverable.
Who it is for.
Teams exploring internal document assistance, repetitive drafting or local inference. Start with a bounded use case and a sample set you are authorised to share.
Working from Alberta, across Canada.
Andrés Garcia Quirarte is based in Sherwood Park, Alberta. Start with a free 30-minute conversation in person by appointment, by phone or on video. We confirm the scope and whether the project is a fit before work begins.