From scattered data to answers, agents, and systems you can trust.

The Data Foundation exists to turn source data into governed business context that people and software can use–not merely to collect and store it.

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Vertically integrated data platform

The whole data stack. One platform.

Seven layers that usually mean seven vendors–integration, storage, databases, modelling, metrics, analysis, apps–built as one, so every layer can trust the ones below.

Ronja vertically integrates the complete data lifecycle in one governed platform: connect, store, model, define, serve, and activate.

01Connect

Connections read and synchronize source data

Connections read and synchronize source data. Governed solutions can write approved changes back.

Connections and synchronization
Subject
Source connection and owning feature
State
Health and last synchronization
Action
Start or stop a synchronization
Receipt
Per-stream progress, rows, warnings, and failures

02Store

Open analytical storage and operational databases

Apache Iceberg tables backed by open columnar files. Queried with DuckDB. Managed Postgres holds the writable operational state.

Connector coverage, CDC, write-back, storage formats, serverless behavior, scaling, recovery, and Postgres operations remain technical proof gates.

Data map table view
Subject
Table catalogue and selected table
State
Status, freshness, owner, and source
Structure
Schema, level, and dependencies
Receipt
Reads, build history, lineage, and consumers

03Model

Domain expertise becomes a versioned, deterministic model of the business.

Domain experts define the entities, relationships, terminology, rules, and exceptions that matter. Agents help author the transformation code, but reviewed and approved models run deterministically rather than being reinterpreted on every use.

Data map relationship graph
Subject
Connected business model
Inputs
Source and foundation tables
Structure
Modelled entities and dependencies
Receipt
Lineage from inputs to governed outputs

04Metrics

Same question. Same answer.

The definition includes its formula, grain, filters, sources, owner, version, and verification state. An agent finds the governed metric and relevant context; a deterministic engine computes the result. Changes and drift trigger review instead of silently changing trusted answers.

Metric definition and trust
Subject
Governed semantic metric
Definition
Formula, grain, filters, and sources
Trust
Owner, verification, and drift state
Receipt
Recomputed result and history

05BI

Every answer shows its work.

Ask in plain language. Ronja writes the query, a real engine computes the number, and the answer links to the exact tables it used.

Exact serving interfaces and lineage coverage remain proof gates.

Served table with its production record
Subject
Served governed table
Inputs
Named upstream tables
Method
Reviewed transformation and query
Receipt
Current result, version, build, and history

06Activate

Useful Business Intelligence now. Faster system building next.

As soon as the business model is connected and governed, teams can ask questions, publish data apps, and schedule reports. The same foundation then powers workflows, agents, and operational interfaces.

Automation and human approval
Recurring
Schedule, owner, run health, and output
Boundary
Review context, proposed change, and affected resource
Decision
Approve or reject before execution
Receipt
Run history and human decision record

One foundation that compounds

Integrate once. Build repeatedly.

Each new solution expands the shared foundation and gives the next one a head start. BI and operational systems stay connected to one trusted context and control plane instead of creating isolated data, integration, and governance stacks.

Business Intelligence

One foundation. Answers, apps, and reports.

Use the same connected, modelled, and governed data for conversational analytics, interactive data apps, and automated reporting.