Stop manually typing in important data. Use our document AI platform to OCR, categorize, and extract information from documents to put information where your business needs it, automate processes, or analyze data.
You determine which information is extracted from which types of documents. Without manual rules, the AI learns to recognize information through your examples. Train your AI based on your domain-specific keywords and phrases.
Unlike conventional IT, AI learns through human feedback and thus continuously improves the recognition rate. Versioned AI models including automated quality tests increase the transparency of this learning curve and thus user acceptance.
Train your AI based on your domain-specific keywords and phrases.
In a few hours, you build a dataset and train the AI.
Classify documents, extract information and give constant feedback to the AI.
Our experience gathered in various industries identified AI success factors. These have significantly shaped the development of Konfuzio.
Data-driven solutions can be implemented cost-effectively if new daily incoming data or archive data is accessible in a structured way. The approach must be easily & quickly adaptable to the data source.
AI unfolds its full potential when the experts can teach their industry expertise to the AI. The standardization of the user interface simplifies the use even for the non technical experts.
The highest requirements for data protection and data security are also the basis for every AI development. The standardization of processes through a platform allows the most favorable operation of an AI.
Our customers use Konfuzio as a distribution center for unstructured data in documents, tweets, emails and many other texts. Through the AI platform, the right information is delivered directly to the responsible employees to enable better and faster decision making. The additional information in the respective documents provides additional added value for the data repository through its structuring and categorization and will not get lost for future, data-driven decisions.
Euler Hermes extracts core information from Italian balance sheets to speed up information gathering for credit evaluation. Euler Hermes is the world leader in trade credit insurance. With 5,500 employees in over 50 countries, Euler Hermes offers a full range of credit management services.
Any department trains the AI independently with the aim of processing documents fully automatically - without any programming. In more and more projects, we are working on automating our processes and creating entirely new possibilities. For us as a reinsurer, the operation of our own models is also an essential component of good software.
Niklas Ex, Digitale Innovation, Deutsche Rückversicherung AG
In sales, the broker pool 1:1 Assekuranzservice AG will rely on artificial intelligence in the future and has further developed its own consulting platform for affiliated brokers. For the first time with the help of AI, contractual partners of 1:1 AG will be able to check the content of contracts en masse in order to make suggestions that optimize their customers' insurance cover.
Fulfin receives payment data for credit verification within seconds, without the pesky restrictions of PSD2 interfaces. The startup provides e-commerce companies with working capital and takes the companies' goods as collateral. It uses proprietary risk scoring and a collateral model developed in-house, which Fulfin uses to assess creditworthiness by evaluating bank and e-commerce data.
Our powerful machine learning solution extracts information quickly and accurately from any document to feed structured data into downstream systems.
Our Deep Computer Vision-based model has been trained with more than 100,000 documents and recognizes elements such as tables, paragraphs and headings across projects and regardless of language.
Depending on the quality of the incoming document, we select the relevant technology for text recognition. Even on-premise, very good results can be achieved with an LSTM Deep Net.
Our Natural Language Processing Tool recognizes basic elements, so-called entities, for each language. Elements such as persons, places, companies and dates are combined with information from the computer vision model.
AI – the core of Konfuzio AI – recognizes information in context. For example, the street is assigned to the supplier, the invoice number to the invoice and the item number to an invoice item. The AI also distinguishes between the address of the supplier and the recipient.
Before the transfer via API or the CSV download of the structured data, it is possible for Konfuzio to apply further rules, e.g. checking the validity of the VAT identification number.
Our software is continuously improved and developed on a daily basis. With our contributions, we offer the greatest possible transparency in research & development and also report on AI successes of our customers.
Why do companies process documents with AI? Today, data is considered one of the most valuable resources in the world. In contrast,...Read article