Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.Value Engineering Partner for AI, Data & ModernizationEngineered, Operated and owned within explicit controlled boundaries
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.Value Engineering Partner for AI, Data & ModernizationEngineered, Operated and owned within explicit controlled boundaries
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.Value Engineering Partner for AI, Data & ModernizationEngineered, Operated and owned within explicit controlled boundaries
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The Skionis Platform · Governed Lakehouse + Provable Compliance

Govern your lakehouse.
Prove every use of your data.

Skionis moves your enterprise data into a governed Databricks lakehouse and tracks every use of it against policy and consent. Working demo in your first meeting. Live on your own Databricks in three weeks.

For data leaders

Governed Lakehouse

medallion lakehouse architecture (Bronze, Silver, Gold)

Bronze

Delta · Unity Catalog
Raw, full-fidelity. Ingested via JDBC, file watch, or document parse.

Silver

Delta · Unity Catalog
Cleaned, typed, deduplicated. Watermark-driven incremental loads.

Gold

Delta · Unity Catalog
Business tables. Multi-source visual JOINs. Connected to BI and Gen AI.
masked
Unity Catalog · policy enforced
For the audit on your desk

Provable Compliance

point a table · answer in one click · no SQL written

One click · no SQL · 30 ms

Live on your own DatabricksUnity Catalog at the corePowered by Skionis

The Data Platform

Source to a governed lakehouse. None of the boilerplate.

Skionis is the proprietary Databricks accelerator behind it. Seven modules cover the lifecycle from raw source through governed Gold tables, structured databases and APIs alongside unstructured PDFs, scans, and contracts parsed into typed tables with Databricks AI Functions. Your engineers configure. Skionis generates the production Spark code, deploys it to your workspace, and registers everything in Unity Catalog.

01.Workspace Manager
02.Connector Hub
03.Document Extraction
04.Sync Scheduler
05.Gold Table Builder
06.Quality & Drift
07.Gen AI Query

Data Model

The semantic shape of the lakehouse, surfaced automatically.

Skionis introspects tables, infers primary and foreign keys, and scores referential confidence. It surfaces the entity model behind your raw sources. Business analysts then ask questions in plain English on top of Gold.

  • Composite primary keys detected, not just single-column
  • Cross-connector foreign-key inference with relationship confidence scoring
  • Natural-language query surface over governed Gold tables
Skionis Data Model view. 127 entities, 1,876 fields, 194 relationships across loan, market, property, and reference tables, with 95% relationship confidence.

Unstructured → structured

PDFs, scans, contracts. Parsed straight into Silver.

Most ETL stops at structured sources. Skionis handles unstructured ones too: invoices, contracts, maintenance reports, and scanned PDFs. Databricks AI Functions parse the layout, extract typed fields, and land them in a Delta Silver table. Your engineers define the spec once. Skionis runs it on every new document.

    ai_parse_document
    preserves tables, headers, layout
    ai_query · temperature 0
    deterministic, typed STRUCT output
    Confidence scoring
    sub-threshold fields flagged for review
    Databricks AI Functions
    reasoning models, not generic chat
skionis · extraction · invoices_v2live
INVOICE
Scanned · PDF · 2.4MB
Vendor:Norden Industrial GmbH
Invoice #:INV-2026-04217
Date:2026-04-18
Due:2026-05-18
Subtotal:€ 14,820.00
VAT 19%:€ 2,815.80
Total:€ 17,635.80
silver.invoices
Upload
Parse
Extract
Write

Gold Table Builder

Build the business layer visually. Zero Spark SQL hand-written.

Drag Silver tables onto a canvas. Set joins, output columns, aggregations, and WHERE filters. Skionis generates the production Spark SQL job, deploys it to Databricks, and registers the Gold Delta table in Unity Catalog.

  • INNER, LEFT, RIGHT, and FULL OUTER joins, with composite keys
  • Aggregations, filters, transforms, and WHERE clauses set visually
  • Lineage carried column-by-column through to Gold
Skionis Unified Loans canvas. Visual JOINs across loans_silver, borrowers_silver, property_valuations_silver, and loan_exceptions_silver mapped column-by-column into a single Gold table, with WHERE filters and join types set on the canvas.

Pipeline Lineage

Bronze to Silver to Gold, end to end, with column-level provenance.

Every source column links to the Silver column it normalized into, and onward to the Gold table that surfaces it. Schema drift is detected on every sync. Impact analysis is a graph traversal, not a manual hunt.

  • Watermark-driven incremental loads with Delta CDF
  • Schema drift caught on the next sync, not in production
  • Column-level lineage drives the governance layer above
Skionis lineage view. Source flows through Bronze, Silver, and Gold tables ending at Capital Adequacy, a regulatory aggregate built on unified loans data. 15 nodes, 14 connectors, lineage healthy.

The Governance Layer

Prove every use stayed within policy. As a query, not a six-week exercise.

Databricks runs the enforcement engine and the audit log. Skionis stands on those and adds the consent layer Unity Catalog doesn't ship: purpose tags on every column, declarations on every output, and automatic violation detection across column-level lineage.

01

A Governed Lakehouse, Not Just a Pipeline

Pre-built connectors for MySQL, PostgreSQL, Redshift, Salesforce, files, and APIs. Medallion lakehouse architecture (Bronze, Silver, Gold) carries column-level lineage end to end. A visual builder produces business-ready Gold tables.

02

The Consent Layer Databricks Doesn't Ship

Tag every column with the purposes it's allowed to serve. Declare what each Gold table is actually used for. Skionis watches the column lineage and flags violations before an auditor or a breach finds them.

customer.ssnrisk_scoring
customer.ssnMarketing_Segment
Purpose violation flagged before the dashboard ships.

03

Policies Enforced on Unity Catalog

Define column masks and row filters once. Skionis applies them live to Unity Catalog. Every query, every team, every BI tool sees the masked data at the source of truth, not in the dashboard. Reversible. Status-tracked.

Not Nullemail IS NOT NULL
Rangeamount BETWEEN 0.01 AND 1M
Unique(customer, order_date) UNIQUE
Referentialcustomer_id ∈ customers.id

04

The Audit Trail, On Demand

Who touched which PII, cardholder, or customer column. Skionis answers it as a query against Unity Catalog's live access audit log. Thirty seconds for the answer that used to take six weeks.

On Unity Catalog

Policies & Audit Trails

Skionis writes directly to Unity Catalog. Native enforcement, native source of truth.

  • Policies

    Column masks and row filters written live to Unity Catalog. Reversible. Status-tracked.

  • Audit Trails

    Synced with Unity Catalog. Queryable on demand.

Extended Beyond Unity Catalog

Purpose & Violation

The consent layer Unity Catalog doesn't ship out of the box.

An Added Layer

Monitors, alerts, and controls your pipelines against the purposes each column was tagged for.

proofFaster delivery on your Databricks vs. a typical engagement.
proof3 weeksLive, governed lakehouse on your own Databricks.
proof30 secThe audit query that used to take six weeks.

How It Ships

From your first meeting to a governed lakehouse, in three weeks.

Working demo on synthetic fintech data in your first meeting. Customer data under NDA in week one. The governed pipeline and live audit trail in production by week three.

01

Connect your Databricks workspace

Drop in your workspace URL and credentials. Skionis discovers your Unity Catalog structure, sets up Bronze, Silver, and Gold schemas, and validates connectivity in under five minutes.

02

Connect your sources

Pick from pre-built connectors for MySQL, PostgreSQL, Redshift, Salesforce, files, and APIs. Unstructured sources work too: PDFs, scans, and contracts are parsed into typed tables with Databricks AI Functions. Credentials are encrypted with AES-256-GCM and written to your Databricks secret scope.

03

Configure ingestion

Select sync mode (Full Refresh or Incremental with a watermark column) and set a cron schedule. Skionis generates the PySpark ingestion notebook, deploys it, and wires the Databricks job. Ten source tables wired in under two hours.

04

Shape the Silver layer

Map source columns to clean names. Set data types, apply null filters, and configure dedup keys. The transformation notebook is generated with watermark-driven incremental logic on Delta's Change Data Feed.

05

Define the Gold tables

Drag Silver tables onto the visual JOIN canvas. Select join types, keys, output columns, and aggregations. Skionis generates and deploys the Spark SQL Gold job. The output is registered in Unity Catalog as managed Delta tables.

06

Apply governance

Define column masks and row filters in the Skionis UI. Apply them to Unity Catalog. Skionis renders the live SQL and executes it against your workspace. Tag each column with the purposes it's allowed to serve. Declare each Gold table's actual purpose.

Muoro's forward-deployed engineers run Skionis inside your Databricks workspace at 3× the delivery speed of a typical engagement.
07

Run, monitor, audit

Pipelines run on cron schedules or trigger manually. Run History gives status, duration, rows written at each layer, and Databricks job-run links. Audit any access to any table as a live query against Unity Catalog. Gold tables connect to Tableau, Power BI, Looker, Metabase, and Superset.

Book a walkthrough

See it on your own data. A governed Gold table, live in 30 minutes.

Bring a Postgres, an S3 bucket of CSVs, or a folder of PDFs. We spin up a workspace, plug in two of your sources, and walk away with a working Bronze, Silver, Gold pipeline you can keep.

30-min walkthrough

January 2026

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Pick a date to open Calendly

Built for data leaders carrying the audit.

Fintech under RBI co-brand and DPDP. Retail & CPG under DPDP, CCPA, and GDPR. GCCs answering for data their parent moved offshore. CDOs, CIOs, CTOs, and CEOs who can no longer answer "where did this data go" with a policy document.

  • RBI
  • DPDP
  • CCPA
  • GDPR
  • SOC 2
Book a Governance Demo for your Databricks workspaceTalk to Engineering about a Skionis-led delivery

Working demo in your first meeting. Live on your own Databricks in three weeks.