Industries
Data and AI for banking and finance
In finance, trust in a number is everything. We make data consistent and traceable, so reports agree, regulators are satisfied and AI can explain where an answer comes from.
Two reports, two different numbers
The same metric name can mean two different things: one report counts customers active over a month, the other over a quarter.
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One metric, two results
In finance, the same metric name can mean two different things.
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Month or quarter?
One report counts customers active over a month, the other over a quarter.
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An agreed definition and a visible source
We align definitions, connect sources and show data lineage. This way, the analyst knows what they're comparing.
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A result you can explain
An AI assistant can explain the result and point to a source the user can access. The team gets a basis for business discussions, not another round of reconciling numbers.
Film
Two reports, two different numbers
We align definitions, connect sources and show data lineage, so the analyst knows what they compare. An AI assistant explains the result and points to a source the user has access to. The team discusses the business instead of reconciling numbers again.
Problems we solve in finance
01
Reports that do not agree
Shared metric definitions and data lineage across systems, so every team works from one version of the numbers.
1 day
Regulatory reporting that takes days
A governance framework with Apache Atlas and NiFi: compliance reports in 1 day instead of 5, with 99.9% data accuracy.
03
GDPR and traceability
Documented data flows and metadata, so personal data and every reported figure can be traced to the source.
04
AI nobody can audit
Assistants that answer only from documented sources and show where each number comes from.
Start with
Questions buyers ask
Can data stay inside our infrastructure?
Yes. We work on your environment with your access controls, under NDA and a data processing agreement.
Where do you start in a regulated organisation?
Usually with definitions and lineage for one critical report. It gives quick value and the foundation every later AI use case needs.
Let's talk about your project
Tell us about your case
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.