# DataCards · The Agentic Algorithm Warehouse

> DataCards is the AI algorithm warehouse for engineering: it stores and runs the expert logic (rules, decisions, domain code) that turns data into action – documented, executable and auditable – and orchestrates it into data products, digital twins and dashboards that teams and AI assistants can use. Built by Cavorit Consulting GmbH (Berlin), developed and hosted in the EU (Hetzner, Germany) or on-premise.

Key facts:
- Product: DataCards (https://datacards.app), web application, SaaS or on-premise.
- Positioning: "Not a Data Warehouse. The interfacing layer." A data warehouse stores data; the algorithm warehouse stores and runs the know-how that turns data into action.
- Core concepts: reactive notebooks (prose + Python), AI nodes with guardrails, publish–consume data products (KPIs, visualizations, Python objects), an auto-reactive knowledge graph / dependency graph, digital twins ("World Layer"), the Deck (grid of dashboard cards), the process canvas.
- How it works: 1. Capture – domain knowledge is captured in documented, executable nodes (code or natural language). 2. Orchestrate – nodes wire into reactive workflows that self-update when inputs change. 3. Deploy – results surface as parameterized digital twins, dashboards and interactive applications.
- AI: modular, agentic, model-agnostic, multi-level agents, A2A connectivity, human in the loop, structured JSON outputs, hallucination guard, EU-only AI mode (EU model providers such as Mistral, EU endpoints).
- Compliance: every output has a human-readable paper trail; every decision is explainable (click-through to the exact notebook: reasoning and code side by side).
- Enterprise: SSO, roles & permissions, git, isolated execution, API-first, audit-ready, German data residency, SaaS or on-premise.
- Benefits: break the silos (T-shaped knowledge at scale), move at VUCA speed, standardise without freezing, stay audit-ready.
- Compared to: Hex & Deepnote (stop at analysis; DataCards is where notebooks become production), Power BI & Tableau (show results; DataCards produces them reproducibly), n8n & Windmill (orchestrate tasks; DataCards orchestrates knowledge), Dataiku (productionizes ML models; DataCards productionizes domain logic).
- Customers / references: Rolls-Royce, Deutsche Bahn, Vattenfall, DLR, Land Brandenburg, Timpla, Federal Ministry of Research, Technology and Space, HU Berlin, TUM. Industries: aerospace, automotive, energy, mechanical engineering, medtech, pharma, insurance, public infrastructure, banking.
- Company: Cavorit Consulting GmbH, Elsenstrasse 41, 12435 Berlin, Germany. Contact: info@cavorit.de. Demo: https://cal.com/team/cavorit/datacards-demo. Docs: https://docs.datacards.app/. Login: https://datacards.app/login.

## Pages

- [Home](https://datacards.app/): What is an agentic algorithm warehouse, how it works, AI, digital twins, process orchestration, compliance, architecture, benefits, comparison, data sovereignty, about Cavorit.
- [Features](https://datacards.app/features/): Algorithm warehouse, legacy system orchestration, security & architecture FAQ (on-premise or SaaS, SSO, data sovereignty, AI security, integrations), digital twins, frontend components (the Deck), process canvas, data sovereignty.
- [Algorithm Warehouse](https://datacards.app/algorithm-warehouse/): The operating layer for algorithmic knowledge – why data is the fuel and DataCards the engine, how knowledge becomes dockable for business and AI, why engineering teams care, digital twins, platform delivery.
- [Legacy System Integration](https://datacards.app/legacy-integration/): Make fragmented tool landscapes operational – integration that serves orchestrated processes, bridging old systems without importing their complexity, from legacy inputs to reusable data products.
- [Case studies](https://datacards.app/casestudies/): Deutsche Bahn (galley management and maintenance in ICE4 trains), Rolls-Royce (Virtual Jet Engine digital twin simulating 600 parameters in real time), Timpla (financial planning by orchestrating legacy tools), Probabilistic Wind Avatars (experimental research on circular wind statistics).
- [Imprint / Legal](https://datacards.app/imprint/): Legal notice, privacy policy (Google Analytics), accessibility statement (German).

## Optional

- [Documentation](https://docs.datacards.app/)
- [Cavorit Consulting](https://cavorit.de/)
- [Cavorit on LinkedIn](https://www.linkedin.com/company/cavorit/)