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Soria transforms raw public healthcare data into structured, queryable intelligence. Connect data sources, run AI-powered extraction pipelines, and serve interactive dashboards — all from a unified platform with deep AI assistant integration via MCP.

Quick Start

Get up and running with Soria in minutes

MCP Integration

Connect Claude Code or any AI assistant to Soria

Data Pipeline

Ingest, extract, and warehouse healthcare data

Dashboards

Build and explore data visualizations

How Soria works

1

Connect a data source

Define a scraper that discovers and downloads files from a public URL — PDFs, Excel files, or CSVs. Soria handles scheduling, deduplication, and storage automatically.
2

Run the extraction pipeline

Soria’s AI pipeline detects relevant pages, extracts tabular data into structured CSVs, validates accuracy, and normalizes values to canonical forms.
3

Build warehouse models

Raw files land in bronze warehouse tables. Write SQL models to clean (silver), join (gold), and aggregate (platinum) your data into dashboard-ready views.
4

Explore and share

Browse dashboards in the web UI, query data through the MCP tools in your AI assistant, or search across all datasets and news events in one place.

Key capabilities

AI-Powered Extraction

Gemini-powered detection and extraction handles PDFs, Excel, and CSVs without manual template authoring

Workspaces

Isolate data changes in workspace branches before promoting to production

News Intelligence

Automated pipeline fetches, scores, clusters, and summarizes healthcare news daily

Search

Full-text search across all dashboards and news stories with synonym support