elevait in:docs
The AI software enables automatic document capture in the enterprise and extraction of relevant data to support efficient and digital data processing of any document.
Request demo now!
Knowledge-based automation in business processes with semi-structured documents
elevait in:docs recognizes and classifies documents and extracts contained information - including validation.Our product in:docs can be easily integrated into an existing infrastructure.
Generic, pre-trained AI models allow in:docs to be used in no time. Our proven onboarding process allows for a quick evaluation of usability and any necessary customizations.
Documents are processed in near real-time in secure, certified data centers in Germany. We guarantee data security and processing based on business and regulatory requirements.

Knowledge-based automation is the encapsulation of
process knowledge in machine-readable form in combination with machine learning techniques.
Core features of elevait in:docs
Every day, organizations process a large number of different business documents at great expense. Only with efficient, scalable processes can organizations survive in an increasingly fast-paced competitive environment. This ties up resources and blocks important key competencies for building and scaling sustainable competitive advantages.
Our product in:docs helps to master these challenges.
elevait in:docs in numbers - an example:
over 350.000
annotated feature classes 2021
30
standardized
feature classes
over 90%
detection rate
Advantages with in:docs
We deliver directly usable knowledge models with a variety of cross-domain characteristics such as sender, recipient, or order number. Customer-specific features can be defined quickly and with minimal effort. Thus, we guarantee shortest integration times, fast ROIs, and an already high extraction accuracy, which can be further improved by additional post-training with specific customer data.
We combine Deep Learning and computer vision techniques and incorporate textual as well as geometric and visual properties of the document. Thus, in addition to text content, we also use text position and text markup to achieve the best possible extraction accuracy.
In our product elevait in:docs we differentiate between generic, domain and customer specific data models, which do not only represent the components of the documents, but also semantic relationships between them. This enables us to cover a wide range of application fields.
Problem
Complex, inefficient processes are often an obstacle to growth or concentration on the core business. For greater competitiveness or in critical phases, fast response times but above all specialist knowledge are required when processing business documents.
A lack of digital workflows also makes it difficult to capture, validate and transfer data in multidimensional IT landscapes.
Solution
elevait in:docs captures and sorts business documents as they come in using a digital workflow. This allows various documents such as scans, faxes or PDF documents to be pre-processed without manual transmission. Highly accurate knowledge extraction, customized validation and knowledge representation reduces long turnaround times, high costs or regulatory risks through fast processing and permanent availability. Preconfigured APIs and interfaces ensure fast integration.

Contact person
Fabian Kretschmann - Product Manager in:docs