DataCards – The Agentic Algorithm Warehouse

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

Rolls-Royce
Land Brandenburg
DLR – German Aerospace Center
Deutsche Bahn
Vattenfall
Timpla
Federal Ministry of Research, Technology and Space
Humboldt-Universität zu Berlin and TUM

What’s an Agentic Algorithm Warehouse?

The AGENTIC 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
  • AGENTIC AI
  • legacy tool integration
  • inline documentation

How it works?

  1. 1

    Capture

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

  2. 2

    Orchestrate

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

  3. 3

    Deploy

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

data vs. AGENTIC 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 and schemasStatic tables
Living workflows
Analysts pull reports
Teams deploy digital twinsTeams deploy apps
Data sits
Knowledge works
Passive
Reactive

ai

Modular agentic intelligencewith guardrails built in.

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

  • ai nodes
  • agentic orchestration
  • multi-level agents
  • a2a connectivity
  • model-agnostic
  • Human in the Loop
  • Auto-Reactive Knowledge Graph
  • tabPFN (coming soon)
  • Structured AI Outputs (JSON)
  • Hallucination Guard

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.

  • Performance models
  • Scenario analysis
  • Cost Estimation
  • Process simulation
  • risk assessment
  • What-if analysis
  • Test-data Interpolation
  • Predictive maintenance
  • operational intelligence
  • resource Optimization
  • Supply chain models

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
  • eu hosting
  • German Data Residency
  • Roles & Permissions
  • git
  • Audit-Ready
  • Isolated Execution
  • API-First

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. Dataiku

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

vs. n8n & Windmill

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

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

Meet the warehouse’s
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
  • Energy
  • Mechanical engineering
  • Medtech
  • Pharma
  • Insurance
  • Public infrastructure
  • Banking

Contact us for your own Agentic Algorithm Warehouse.