How to…
All corporate knowledge in a single secure, governed Data Lake, which becomes the foundation for a knowledge base queryable in natural language. Company documents made searchable with RAG, always respecting roles and data sensitivity: just ask "how to…" and the answer arrives, with its sources.
A secure, governed Data Lake with a knowledge base queryable in natural language via RAG.
How to…
A secure, governed Data Lake that unifies all corporate knowledge and becomes the foundation for a knowledge base queryable in natural language: company documents made searchable with RAG, always respecting roles and data sensitivity.
From data to answer: a single, secure and governed data foundation that feeds analytics, BI, machine learning and the conversational assistant over corporate knowledge, always with tracked, role-consistent access.
Each area can be engaged on its own or as an integrated path, scaled to your real needs.
A three-layer storage that carries data from raw to ready-to-consume, with every transformation tracked.
What you getOrdered, traceable data, layer by layer.
Every data point is labeled by type and security level: two orthogonal dimensions driving access and protection.
What you getEvery data point knows its value and how to be protected.
A role-data mapping where effective access emerges from the intersection of role and data classification.
What you getEveryone sees exactly what pertains to them.
Control travels with the data, not with the application: RBAC, ABAC and policies applied at the source.
What you getProtection that stays on the data, wherever it goes.
On top of the lake, vector indexing and retrieval-augmented generation answer questions while citing sources.
What you getAnswers over corporate knowledge, verifiable.
Protection across the full data lifecycle, with end-to-end encryption and active monitoring.
What you getA protected lake, at every moment.
Every project starts from where you really are: a no-commitment initial assessment to define priorities and goals.
We build the Data Lake on a Medallion architecture, with tracked transformations.
We classify data and map the roles × classification matrix.
We apply RBAC, ABAC, data policies and end-to-end encryption.
We activate the Knowledge Base with RAG to answer in natural language, citing sources.
Tell us your need: you'll get a clear picture of the priorities, even if the path continues without us.
Contact ML TWOOr write directly to info@mltwo.it