Downloads
A few short documents you can forward to stakeholders.
GenericML 3‑minute pitch
Short, forwardable summary for busy people.
GenericML pitch
Longer narrative: what it is, why it matters, where it fits.
Why AI/ML systems fail → GenericML solutions
Clear framing for executives and program owners.
Issues with ML and how GenericML helps
Deeper dive into adoption blockers and mitigations.
DDD + GenericML + Knowledge Graph reference architecture
Reusable template for engineering + regulated domains.
Graph‑RAG vs RAG
Why graphs matter for provenance, multi‑hop context and governance.
GenericML advantages (PDF)
A quick “why this is different” handout.
Key Concept
Let your domain experts explore the domain building models themselves!
And build models in minutes on GB of multi-dimensional data on their own laptops!
Normally data scientists spend about 3 months finding the features, and more months to choose a model.
GenericML does full auto‑ML on the features and model selection, so your domain experts can iterate themselves and find the best model in minutes.
They can then ensemble models to make the predictions more accurate.