[ DATA ]

Make high-stakes decisions on accurate data

Ask in natural language. zaimler provides accurate, real-time, governed answers.

Talk to usSee the platform
SOC 2 certifiedOne use case, no commitment

[ THE PROBLEM ]

Close enough is still wrong

RAG and vector search return what looks similar. On core data, similar is a wrong number carried with confidence. zaimler uses ontologies to model your business accurately.

Close enough is still wrong

[ HOW IT WORKS ]

Get the right answer, every time.

Watch a natural language question become a grounded, traceable answer.

Get the right answer, every time.

Ask a natural language question

You type it the way you would say it, with no query language to learn.

Get the right answer, every time.

Resolve it on the graph

zaimler resolves it against the real relationships across every connected source.

Get the right answer, every time.

See the reasoning

You get the resolved entities and the exact route they came from.

Get the right answer, every time.

Set it on repeat

Ask again and it resolves the same way every time.

Questions zaimler answers today

Data exploration

  • Which policies touch this reinsurance treaty?

  • Show every claim linked to this policyholder.

  • List the accounts onboarded since the last model refresh.

Relationship analysis

  • How is this customer connected to this counterparty?

  • Which records resolve to one policyholder across systems?

  • Trace the path from this claim to its underwriting file.

Analytical queries

  • What is our loss ratio by product this quarter?

  • Average time from first notice of loss to payment?

  • Which segments drove written-premium growth?

Insights and trends

  • Where are fraud patterns emerging across transactions?

  • Which products carry the most disputed claims?

  • What is trending in policy cancellations by region?

FAQ

RAG matches on surface similarity, so it can hand back a passage that looks right and is not. zaimler traverses the modeled relationships in your data, so it returns what is actually connected to your question, with the path to prove it.

A catalog describes your data in a snapshot you read, and it goes stale between refreshes. zaimler puts the meaning in the query path itself and resolves the answer against live sources every time, so what comes back reflects the business as it is right now.

zaimler resolves each question by traversing the same modeled relationships, so a repeated question returns the same answer as long as the underlying data has not changed. Every resolution records its path in Governance, so anyone on your team can open it and see which entities and relationships produced the result.

Yes. Anyone who can ask the question in plain language can use it, with no query language to learn. zaimler returns the resolved entities, the answer, and the exact path it took, so the result is easy to read and easy to check.

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