Network for Autonomous
Data Aggregation
NADA is the system behind every ZN Labs app — a three-layer pipeline that connects to your data, moves it reliably, and lets AI turn it into something worth looking at. Below is exactly how it works, layer by layer.
NADA Link
The connectors that pull data from wherever it already lives. Link speaks the language of each source — a website's markup, an API's auth flow, a database's query format, a spreadsheet's rows, a sensor's raw feed — and normalizes everything into one consistent shape before it moves further into the pipeline.
- Pre-built connectors for web pages, APIs, databases, files, and sensor feeds
- Scheduled or real-time syncs, depending on the source
- Handles auth, pagination, and rate limits per source automatically
NADA Core
The main data pipeline. Core takes whatever Link hands it, validates and cleans it, enriches it with context, and stores it in a structure the AI layer can actually work with — reliably, and at whatever scale your data grows to.
- Schema validation catches malformed or incomplete records early
- Deduplication and enrichment before anything is stored
- Built to scale from a handful of sources to hundreds
NADA Engine
The AI processing layer. Engine reads what Core has assembled, reasons across it, and produces the summaries, alerts, and answers that actually reach the app — so the person using it sees a conclusion, not a spreadsheet.
- Retrieval-grounded reasoning, so outputs trace back to real data
- Summarization and anomaly detection tuned per use case
- Outputs feed directly into the app's UI — no manual export step