Enavio AI — AI Engineering

AI systems built
on real data.

We build document intelligence, AI assistants, and risk-detection systems — all grounded in an organization's actual records, not general internet knowledge. Currently building for construction.

Most "AI assistants" don't know your actual data.

A chatbot trained on general internet knowledge will confidently answer questions about your organization — and be wrong. We build systems that read your real documents, records, and data first, then answer only from that.

  • OCR & Document Classification
  • Retrieval-Augmented Generation
  • Institutional AI Assistants
  • Structured Data Extraction
  • Risk & Anomaly Detection
  • Custom Integrations

What we actually build.

Two related things we go deep on: reading documents, and answering questions from your real data.

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Document Intelligence

OCR and classification systems that read scanned documents — or photos of them — and sort them automatically.

RAG-Grounded AI Assistants

Chat assistants that answer only from your organization's real documents — retrieved and cited at answer time.

Risk & Anomaly Detection

Systems that cross-reference operational records to flag mismatches and at-risk items automatically.

Integration & Deployment

Connecting these systems into how an organization already works, instead of asking anyone to change tools.

Every system needs an architecture.

Serious AI systems require more than a model — they need a structure the model can operate inside.

DATA
MODELS
REASONING
TOOLS
SYSTEMS
AUTOMATION
OUTCOMES

Real systems, not concepts.

One is built and working. One is still in progress. Both are real — the code is on GitHub.

All case studies →
OCR & Document Classification

A system that reads and sorts documents on its own

Given a scanned document — or just a photo of one — it uses OCR to extract the text and automatically classifies what type of document it is, no manual sorting required.

View case study →
In progress · Construction & Risk Management

Risk visibility for construction projects

Currently building: a dashboard with a chatbot for construction companies that cross-references invoices against project data — flagging projects that don't match their invoices, and projects that were expected to win but are losing ground.

View case study →

One rule above the rest: an AI assistant is only useful if it doesn't make things up. Every system we build answers from your actual documents and records — not general internet knowledge, and not a guess.

How we build, in full →

Have a problem worth solving?

Let's engineer the intelligence behind it.