ONTOLOGY

Your business concepts. Automatically modeled

zaimler reads across all data sources and automatically infers a Unified Domain Model.

Talk to us

WHY THIS EXISTS

With no model, your AI guesses

An agent does not know that a policy joins to a claim through an undocumented table, or that the same customer in Salesforce and SAP is one company. A confident wrong guess can result in high costs and unhappy customers.

HOW IT WORKS

Suggest, understand, map, and trace

1

Suggest the ontology

zaimler proposes the entity types from your data, each with a confidence score. Accept them in bulk or one at a time.

Suggest the ontology
2

Understand the reasoning

Every suggestion shows the top datasets and columns that drove its confidence score.

Understand the reasoning
3

Map the model

See every source-to-domain mapping. Accept, adjust, or auto-approve mappings above your confidence threshold

Map the model
4

Trace it in the model

Open any entity and see it fully mapped: exactly which datasets and columns resolve to its identifier.

Trace it in the model

WHAT'S DIFFERENT

A model grounded in your business domain

Unified Domain Model

One typed model of your business, confirmed by the people who own the data.

Schema Inference

Automatically infers typed entities from your schemas and relationships

Typed Entity Model

One field across multiple systems. Each defined once.

Automatic Source Mapping

Each source column maps onto the model. Accept, adjust, or auto-select every mapping above a threshold.

Entity Resolution

The same customer across two systems resolves to one node, matched on shared identifiers.

Human-Confirm Loop

Your people confirm only the ambiguous calls. Each suggestion shows the reasoning behind its score.

Metadata & Lineage

Every entity carries its mapping: the datasets, columns, source rows behind it, model version, and ingestion time.

Versioning & History

The model is versioned, so you can see what an entity meant and when it changed.

FAQ

One typed model of your business: entities (Customer, Policy, Claim) and relationships, inferred from your data, confirmed by your people, reasoned on by your agents.

zaimler reads your schemas and the relationships in them, infers a typed model, resolves every source onto it, and brings the hard calls back to your team.

No. zaimler infers the model from your sources itself. Your people confirm the ambiguous definitions; they never hand-build or maintain anything.

A graph database is storage. Vector search returns lookalikes. zaimler infers the model, resolves real entities, follows real relationships, so the answer holds.

Days to weeks, where a hand-built, consultant-led model of the same scope runs about a year.

NEXT STEPS

Here's what we can get done with zaimler in just 60 days proof of value

Let's resolve your first domain
Day 01

Forward Deployed

  • Forward-deployed zaimler specialists partner with your in-house experts

  • Security, issuer, and client data unified into one governed domain

  • Department-level onboarding begins

Day 30

Initial consultation

  • Working session to map use cases and ROI

  • Pick one high-value workflow: portfolio intelligence, real assets, or client reporting

  • Go/no-go decision

Day 60

Delivering real value

  • Verify the unified domain model inferred by Zaimler

  • Agents running critical workflows with full audit trails

  • Measurable ROI from day one — your organizational capacity begins to scale