DataCards

Trusted by leading teams in sectors Like premium Automotive, Research, Energy ANd aviation, including:

developed, hosted & owned

in the eu

The Algorithm Warehouse.

For your Digital Twins.

Turn siloed knowledge into executable, audit-ready workflows and deploy digital twins, optimisations and apps in minutes, not months.

Get a demo ↗

Explore the Algorithm Warehouse

What’s an Algorithm Warehouse?

The algorithm warehouse

The engine that makes expert knowledge operational.

Your traditional warehouse stores data. DataCards stores the know-how that turns data into action: documented, executable domain logic in notebooks and AI nodes.

Teams publish data products (KPIs, visualizations, Python objects) and reuse them across workflows with clear ownership, a human-readable audit trail, and full AI compatibility.

reactive notebooks

python

markdown

publish-consume

knowledge modules

Version history

data products

jupyter

legacy tool integration

inline documentation

How it works?

Capture

Fragmented domain knowledge is captured in documented, executable nodes – code or natural language.

Orchestrate

Nodes wire into reactive workflows that self-update when inputs change. The dependency graph handles complexity; your teams handle the logic.

Deploy

Results surface as parameterized digital twins, dashboards and interactive applications that decision-makers can run, interrogate and trust.

data vs. algorithm warehouse

Not a Data Warehouse.

The interfacing layer.

Data is a noun: inert, static, waiting. The Algorithm Warehouse supplies the verbs. Where a Data Warehouse ends, DataCards begins.

Data Warehouse

Algorithm Warehouse

Stores raw data

Runs logic on data

Static tables

Living workflows

Analysts pull reports

Teams deploy apps

Data sits

Knowledge works

Passive

Reactive

Modular agentic intelligence

with guardrails built in.

AI in DataCards is modular and operates agentic workflows: standardized knowledge modules control what AI agents can access and output.

Digital Twins

Not a visualisation.

A living model of your domain.

A Digital Twin in DataCards is way more than a dashboard: it's the executable logic of your process, embedded in a World Layer powered by the Auto-Reactive Knowledge Graph.

Process Orchestration

One graph. Every dependency visible. Every update automatic.

Notebooks publish and consume data products, forming a reactive dependency graph. When any node changes, only downstream processes recompute, automatically.

Compliance

Every output has a paper trail.

Every decision is explainable.

When your auditor asks how a number was calculated, the answer is a click-through to the exact notebook — reasoning and code, side by side.

architecture

Enterprise-Ready by Design.

SaaS or on-premise — your choice. Developed and hosted in Germany. Every deployment ships with the same governance, the same audit trail, the same security.

sso

SaaS

on-premise

API-First

eu hosting

git

German Data Residency

Roles & Permissions

Audit-Ready

Isolated Execution

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Get a demo ↗

benefits

One warehouse.

Four organisational superpowers.

DataCards addresses the four fundamental tensions

every data-driven organisation faces, simultaneously.

break the silos

T-shaped knowledge at scale. Expert logic becomes accessible to generalists — from engineer to manager, from model to meeting room.

move at vuca speed

Redeploy complex workflows in minutes. Scenario analysis and AI-generated heuristics on demand — without waiting for the next sprint cycle.

Standardise Without Freezing

Digital Twins enforce consistency across teams while remaining fully parameterisable. Flexibility and governance are not a trade-off in Datacards.

stay audit-ready

Every workflow, every result, every AI output leaves a human-readable paper trail. Built for Aerospace, Automotive and regulated industries from day one.

DataCards vs.

How DataCards compares

vs. Hex & Deepnote

Hex and Deepnote stop at analysis. DataCards is where notebooks become production. Reactive orchestration turns isolated analyses into governed, auto-updating data products.

vs. Power BI & Tableau

BI shows results. DataCards produces them — reproducibly, parameterized, with full traceability from dashboard to source logic.

vs. n8n & Windmill

Low-code solutions orchestrate tasks. DataCards orchestrates knowledge. The difference matters when domain expertise and auditability are non-negotiable.

vs. Dataiku

Dataiku productionizes ML models. DataCards productionizes domain logic — the expert knowledge that exists before and beyond machine learning.

data sovereignty

Built and hosted in the EU 🇪🇺

DataCards is developed and owned in the EU and deployed exclusively on Hetzner servers in Germany or on-prem.

made by cavorit

A full Warehouse

needs expert architects.

Cavorit is the engineering and consulting team behind Datacards. From AI Maturity workshops to full-delivery twin builds, we offer everything from a scoped pilot to end-to-end enablement, so your organisation doesn't just buy a platform, it builds a capability.

industries:

aerospace

Automotive

Mechanical engineering

Energy

Medtech

Pharma

Public infrastructure

Insurance

Banking

Schedule a quick Call ↗

Learn more about Cavorit ↗

Contact us for your own Algorithm Warehouse.

Schedule a call ↗

Email us

DataCards

Trusted by leading teams in sectors Like premium Automotive, Research, Energy ANd aviation, including:

developed, hosted & owned

in the eu

The Algorithm Warehouse.

For your Digital Twins.

Turn siloed knowledge into executable, audit-ready workflows and deploy digital twins, optimisations and apps in minutes, not months.

Get a demo ↗

Explore the Algorithm Warehouse

What’s an Algorithm Warehouse?

The algorithm warehouse

The engine that makes expert knowledge operational.

Your traditional warehouse stores data. DataCards stores the know-how that turns data into action: documented, executable domain logic in notebooks and AI nodes.

Teams publish data products (KPIs, visualizations, Python objects) and reuse them across workflows with clear ownership, a human-readable audit trail, and full AI compatibility.

reactive notebooks

python

markdown

publish-consume

knowledge modules

Version history

data products

jupyter

legacy tool integration

inline documentation