A long modern, light corridor
We build software to help banks face data quality topics, automate corrections via self-learning and prepare for the upcoming data driven reporting.

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Overview

AIQA is your AI quality assistant which helps you get rid of your data quality problems.
AIQA analyses your data, detects possible problems and suggests a solution which is consistent with your data model. Over time, AIQA learns to fix the problems autonomously.

Client Data

AIQA

Run Levels

Diagram outlining the overview of the AIQA process
Client Data
Client Data simplified drawing

AIQA

Run Levels

AIQA and Run Levels diagram

Technology

Our solution is cloud based and AI driven. The software is provided as a service. No updates or maintenance are necessary on the client side. The data is stored in the cloud, the space and processing capacity scale with your demand. The machine is connected to a variety of public data sources and generates its own metadata. It connects patterns and past choices in your data processing to arrive at increasingly accurate solutions.

Bank Data

AIQA
Clean Data
"as is“ unstructured data
Detects errors and corrects data on many levels
Bank Data after processing - clean data, ready to fit all reporting
Bank Data
"as is“ unstructured data
Diagram of data quality issues red arrow pointing to next diagram
AIQA
Detects errors and corrects data on many levels
AIQA in action, working on cleaning the dataArrow pointing to next phase
Clean Data
Bank Data after processing - clean data, ready to fit all reporting
Diagram of clean data after processing

Key Source of Problems

Unstructured & uncontrolled data

Absent or deficient data quality mechanisms
Lack of dedicated roles for data quality
Existing software tools require a high level of technical understanding and are not suited for non technical users
In the regulatory reporting area, data errors incur fines and cause enormous costs in the banking sector

The Solution: AIQA

Our approach puts the focus on the source data

Data quality as a proactive service
State of the art concepts and platforms (Java, Cloud, Machine-Learning)
Intelligent and interactive
Data quality as a proactive service
Highest security standards and scalability on hardware and software side

Key Source of Problems

Unstructured & uncontrolled data

The Solution: AIQA

Our approach puts the focus on the source data

cogs icon
Absent or deficient data quality mechanisms
Data Quality Icon
Data quality as a proactive service
people technical understanding icon
Lack of dedicated roles for data quality
Machine icon
State of the art concepts and platforms (Java, Cloud, Machine-Learning)
Question Icon
Existing software tools require a high level of technical understanding and are not suited for non technical users
cog icon
Intelligent and interactive
Warning icon
In the regulatory reporting area, data errors incur fines and cause enormous costs in the banking sector
Security icon
Highest security standards and scalability on hardware and software side

Keyword Data Flaws

We found, as a key point based on our professional experience, that data delivered are never the data expected. As a result of this fact, operational costs increase by an enormous amount.

AIQA is the blade to sharpen your data precision

We translate our technical understanding into computer behaviour. Our engine already performs a large part of the necessary cleaning activites on its own. The Robo Reg Reporting expert.
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Security

Data from customers, data about customer