Getting Started
What is NNIPA
NNIPA is a no-code data intelligence platform. Connect a source, and NNIPA detects its structure, maps it to a governed schema, and makes it ready to analyze — without anyone hand-writing a transformation script.
What is NNIPA
Most analytics platforms assume the hard part — cleaning, mapping, and structuring data — is already done. NNIPA is built for the part before that: messy sources, unlabeled columns, and formats that were never meant to line up. It combines AI-driven schema detection, semantic field mapping, and OCR/NLP for unstructured documents into a single pipeline, then layers statistical analysis and an AI analyst on top.
Connect
Bring in files, databases, CDC streams, or APIs without a pre-agreed schema.
Manage
Every dataset lands in a searchable catalog with metadata and permissions attached.
Analyze
Run descriptive statistics, crosstabs, correlation, and t-tests without leaving the platform.
Ask
NNIPA Intelligence answers questions in plain language and surfaces insights on its own.
How it fits together
A source becomes a dataset, a dataset becomes an analysis, and an analysis can be asked about directly. Nothing skips the catalog — every dataset carries its own metadata and permissions, whether it arrived as a CSV upload or a nightly CDC stream.
> nnipa connect ./claims_q3.csv
Detecting schema... 14 columns, 2 flagged as PII
Mapping fields to canonical schema...
Dataset "claims_q3" added to catalog
> nnipa ask "What changed in claims_q3 vs last quarter?"
Running crosstab + trend analysis...
Core concepts
A handful of terms come up throughout these documentation. Worth knowing before you go further.
| Concept | Description |
|---|---|
| Dataset | A collection of imported data. |
| Analysis | A statistical analysis of a dataset. |
| Catalog | Stores metadata for datasets. |