From order to billing, we help you to use the data in your supply chain.
Check inbound and outbound information for plausibility,
reduce the time for internal coordination processes.
Automatically create highly customized offers based on existing contracts of potential
customers. Recognize sales opportunities based on documents such as exposés or annual reports.
Ultimately, your success depends on the satisfaction of your customers. Analyze your customer communications,
solve customer problems, identify patterns and thereby best practices.
Customer Success Stories
Konfuzio, for example, helps 1:1 Assekuranzservice AG as a subsidiary of WWK Versicherungen,
smoothly process insurance policies and premium invoices.
Process any document.
Gain time by classifying documents using our software. Konfuzio even works for complex processes
and assigns requests to the right people.
Automatically transfer information in unstructured texts to your ERP system.
Avoid typos and update the information stored in your database in real-time.
Check the content of inbound and outbound unstructured texts. Recognize deviations
of already processed documents and reduce internal coordination efforts.
Before the Konfuzio algorithm can be applied,
is used to extracted the entire unstructured text of a document.
Since many of our customers already use their own OCR software, we offer the
flexibility to replace the Konfuzio OCR with another solution.
Using the example of a delivery note: Based on a new delivery, we would like to introduce you to our process.
In the first step, e.g. a warehouse employee takes a picture of the enclosed delivery note
(see picture) with your mobile phone.
In the first step, the Konfuzio algorithm assigns the document to one or multiple categories.
In addition to the classification of documents Konfuzio also allows the
classification of text passages.
Using the example of a delivery note:
The algorithm assigns the category “delivery note” to the picture, taken in the last step.
In addition, the Konfuzio algorithm detects a conspicuous text passage that is not normally included.
We combine expert rules and
dynamically to extract the information from a document in a structured way.
This new approach makes Konfuzio self-learning. This means that the algorithm
starts with expert rules to learn more abstract rules over time. Thereby the algorithm can even recognize
information if no expert rule existed.
Using the example of a delivery note: The quantities and the article numbers are recognized.
Although for the Honda article number no expert rule was provided, the algorithm finds those article numbers.
In addition to the classification, the algorithm offers the possibility to perform special plausibility checks.
Manual checks can be automated cost-effectively.
Using the example of a delivery note: The algorithm checks amounts of the line
items and compares it to the total amount. It recognizes a significant deviation of € 24.00.
Your success is our success
Transform your organization's top three data sources and any processes that support them.
The more diverse the services and the larger the company, the more communication is
recorded. The Konfuzio algorithm recognizes information even in e-mails, faxes, PDFs or photos.
Several clients are using the Konfuzio algorithm to classify and read relevant key data from a
variety of financial documents.
Insurance contracts of insurance companies use a variety of different layouts and formulations.
With the help of Konfuzio, the key data is reliably read even in contracts of more than 100 pages.
Operation of the software
We offer three different operating options.
We run our software in the cloud and provide you with you custom document service via the internet.
Our prices are based on the number of text pages read out.
Operate our software on your own hardware, if necessary in your own data center without internet.
Our prices are based on the requested functionality.
Use Konfuzio in your software and stay flexible on how to use our functionality.
Our prices are based on the number of developers.
Handling of your data
We set the highest standards both when creating the software and when processing your data.
Both when creating the software and when processing your data we set the highest standards.
Checking for the latest security vulnerabilities of our own processes and software always
leads us to find security holes. Thereby, we were able
to point out improvements to the following companies:
Apply now as a Data Scientist or Software Engineer to test the Konfuzio Python Package.
from glob import glob
from konfuzio.models import bills
from konfuzio.ocr import fast_ocr
from konfuzio.classify import deepclf
for filepath in glob.glob (path):
doc = fast_ocr (filepath)
if deepclf (doc) == ‘Invoice’:
model = Bills ()
doc_info = model.extract (doc)
We offer to join our beta version for free. If you are interested, please apply by writing us a short e-mail
and answer briefly the following questions:
For which case do you want to use the Python package?
Which operating system and which Python version do you use?
At which company do you work?
How many developer licenses do you need?
Come talk to us
Do you develop software yourself and are currently looking for a solid and fast solution to
classify documents and extract information from unstructured texts? We are
are always interested in exciting applications and eager to create synergies.
Employees and students
Can you explain the content in a way that makes it fun to get people excited about your ideas? You want to
to work more flexible than a 9to5 working day? You want to work as a student and gain work experience and
take responsibility? Please contact us!
You know a use case from your day-to-day business that still has hundreds of documents
manually processed per day? Together with you, we are happy to evaluate if
Konfuzio should include the case of application in the core software.
News from partners, competitions and other events
Digital Insurance Agenda
Shaping digital change together
Good digital solutions result from the consideration of technical possibilities and daily processes. Suitable
solutions for our customers emerge in this discussion. We would like to thank all visitors for their time and
good conversations. For example the possibility to seize
Dr. Klaus-Peter Röhler, CEO of Allianz Deutschland AG, to present our solution live while reading documents,
as can be seen in the picture.
InsurTech Hub Munich at WERK1
Top 10 of 160 applications by other Start-Ups
We are now part of the Isuretech Hub in Munich. The InsurTech Hub Munich is an entrepreneurial platform that
attracts, inspires and organizes key players and disruptors across industries and technologies to
collaborate on groundbreaking, innovative insurance products and services – revolutionizing the future of
Insurance. Find out more on their website, click here
to read more.
We were admitted to the LMU EC Accelerator. “Empowering Entrepreneurs” is the vision of the
LMU Entrepreneurship Center (LMU EC), which has the goal of to train the entrepreneurial managers of the
future, to actively promote the foundation of successful companies and to support and promote a culture
of entrepreneurial thinking and action
Andrássy Universität Budapest
Presentation: Transformation potential through deep learning
Content: The inner engine of digital business models are algorithms that control business processes based on
the information available. However, many companies have information in the form of unstructured data, such as
PDF, fax or e-mail. The still manual access to information increases the unit costs and makes innovative
products and services for many companies not appear economical. The ability to automatically evaluate
unstructured data through deep learning and extract information using algorithms offers competitive advantages
and transformation potential. The presentation shows how companies use unstructured data to serve innovative
products and services even in mature corporate structures.
Perfection in payment transactions
The Payyxtron GmbH develops “Perfection in payment transactions” in dialogue with their customers.
The customer portfolio of Payyxtron GmbH covers a wide variety of industries and ranges from small to large
medium-sized companies to corporations and banks.
In our cooperation, we have developed an SAP Add-On that empowers employees in their daily work
in payment transactions and cash management.
1st and 2nd place at Symbioticon
Based on the Konfuzio algorithm, we developed an application for small and medium-sized companies
A company that intelligently identifies and settles receipts for employee expenses.
As part of the hackathon we won, on the one hand, an implementation budget worth a total of € 100,000 and
on the other hand the special prize in the category of corporate customers worth € 5,000.
[Disclaimer: Video is in German language]
Initiative for Industrial Innovators
Joins forces for startup excellence in Europe.
The “Initiative for Industrial Innovators” sees itself as a program for the pre-seed financing of
innovative projects with a focus on industrial applications.
Among other things, we used the financial support to meet requirements for B2B use cases:
in the processing of documents through a dynamic combination of expert rules and abstract
NLP Rules .
Incubator for high-tech start-ups in early stages
XPRENEURS is a 3-month full-time incubator program based in Munich, which supports start-ups around the
world, turning technology-driven business ideas into scalable businesses.
The very personal support of the XPRENEURS team helped us to increase the number of our operation models
and to further improve our compliance with GDPR.
Watch the video of our final pitch.
1st place at the Bankathon 2018
After 2015, we again presented a new concept to the Bankathon in 2018. An app,
that summarizes key data of contracts with the help of Konfuzio and let users sign the contract
with just one click using Verimi. This signature is legally binding
even under German Law. In addition the process is also accepted by the German Bundesdruckerei.
In reference to the Frankfurt based start-up Finanzguru
we named our concept ContractGuru.