Nordic Harbor
HoReCa runs on expertise.
But expertise is hard to scale.
Vedana is an open-core AI platform, that encodes your internal knowledge and operations logic into a structured knowledge graph – so AI answers are verified. That scales expertise across teams, services, and regions.
Vedana saves your team expertise in AI-ready knowledge graph
Pre-modeled HoReCa ontology – ready to extend
VEDANA comes with a rich understanding of the HoReCa domain: brands, menu items, recipes, ingredients, equipment, supplies, beverages, certifications, service protocols and others.
We extend this model with your internal logic, formats, and documents, so your assistant answers questions in your language – not just industry standards.
Any Domain = Anchors, Attributes, Links
Vedana represents any business domain as a structured graph of anchors (entities), their attributes (properties), and explicit links (relationships).
In this HoReCa mini-demo, dishes, ingredients, suppliers, and certifications are typed nodes connected by governed business logic.
This is the foundation of our methodology: structured modeling first, AI reasoning on top.
VEDANA makes all your knowledge accessible.
See how Vedana helps in HoReCa scenarios
How Vedana turns documents into answers
- 1
Normalize data
Pull data from messy pdfs, make data-model. A service-specific playbook guides Vedana how to think:
“If query includes certification + menu item + ingredient → look for menu compatibility across all three entities.”
Logic is visible and customizable. - 2
Make a playbook
Vedana explores your knowledge graph:Menu Item → Recipe → Ingredient → Health & Safety Standardto trace dependencies and rules across layers.
- 3
Reason using the playbook
Each answer is supported by your data: service specifications, health & safety regulations, menu compatibility logic — not hallucination.Feedback from users is logged and used to improve the Playbook.
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