Technology
Every system needs an architecture.
Serious AI systems require more than a model — they need a structure the model can operate inside. This is the shape that structure takes, and the real technology categories behind it.
How a system is structured, end to end.
A general shape — not every project uses every layer. Each layer is only built where the problem actually calls for it.
USERQuestion, document, or request
WEB / APP INTERFACEChat, dashboard, or upload
BACKENDAPI layer, request handling
DATA / DATABASEYour documents and records
AI / MLOCR, retrieval, classification, LLMs
BUSINESS LOGICRules, flags, and decisions specific to you
RESULTAn answer, a classification, or a flagged item
The stack behind the work.
The categories of technology Enavio AI works across when engineering a system.
OCR & Computer Vision
Large Language Models
Retrieval-Augmented Generation
Machine Learning
Data Extraction & Structuring
APIs & Integrations
Cloud Infrastructure
Software Engineering
From problem to system.
01
Discover
Understand the business problem, data, workflows, and constraints.
02
Architect
Design the system architecture, AI components, integrations, and infrastructure.
03
Engineer
Build, test, evaluate, integrate, and optimize.
04
Deploy
Launch, monitor, measure, and continuously improve.
Want to see this applied?
Every layer above is drawn from systems we've actually built.