AI & Machine Learning That Ships
From RAG pilots to production-grade ML pipelines — outcomes you can measure.
MadPixel helps product and data teams move past demos. We embed senior engineers who design, build, and operationalize AI features inside your existing stack and governance model.
Schedule a Consultation · info@madpixel.ca
Who this is for
- Product leaders who need AI features in the roadmap this quarter, not “someday”
- Data/platform teams stuck between notebooks and reliable production services
- Enterprises that require privacy, auditability, and clear ownership (especially under Québec Loi 25 expectations)
What we deliver
Retrieval-Augmented Generation (RAG) & assistants
Document ingestion, chunking, embeddings, evaluation harnesses, and guardrails for internal or customer-facing assistants.
ML pipelines & MLOps
Training/inference workflows, feature stores where justified, monitoring for drift, and CI for model/code changes.
Applied ML for productsHow we engage
Share the problem, the data you have (even if messy), and the decision owner. We’ll tell you honestly whether AI is the right lever. Talk to MadPixel · ✉ info@madpixel.ca · 📍 Québec, Canada ong> Ranking, recommendations, forecasting, classification — scoped to a business KPI, not a science fair. Integration with your estate APIs, event streams, data warehouses/lakes, identity, and logging so AI isn’t a shadow IT sidecar. Responsible delivery Data minimization, access control, prompt/PII handling, human-in-the-loop where needed, and documentation your compliance stakeholders can read.
Model
Best when
Discovery & architecture
Validate use case, data readiness, and build-vs-buy in 2–4 weeks
Embedded AI/ML engineers
You own the product; we add senior delivery capacity
Scoped build
MVP or production slice with acceptance criteria and eval metrics
What “done” looks like
Related services
Have a use case — or a stuck pilot?