Automating knowledge-based processes
Business-relevant information is often hidden in complex documents. We make it accessible with Natural Language Processing (NLP).
Pragmatic, fast and scalable.
The automation of knowledge-based processes
From real-time claims processing to capturing the entire contract inventory, our Natural Language Processing technology based on Deep Learning finds relevant information even in complex texts and enables the automation of knowledge-based processes.
Optimized for fast integration, sustainable strategic advantages and easy scalability.
Ready-made NLP solutions
Automate processes and systems with prefabricated NLP solutions
- Contract analysis (extract contract parties, term, cancellation periods, … from contracts)
- Market analysis with real-time evaluation of commercial register notices (registration, merger, change of address, …)
- Company analysis real-time evaluation of companies (industry codes, revenue, number of employees, balance sheet total, …)
- Document language detection
- OCR with layout recognition in >100 languages
- and many more
Develop new NLP models faster for production use
- End to end development & operation in one platform: data cleaning, labeling, training, retraining and deployment
- Process long documents optimally
- Up to 80% less labeling effort through active learning
- Synthesize traing data with generative syntax
- All common transformer models (e.g. BERT) are supported
- Scalable deployment in the cloud or on-premise
Buying perfectly tailored turnkey document analysis modules
- Individual document analysis modules - optimized for your process and your data
- Seamless integration into your IT landscape via API or webhooks
- Scalable deployment as a hosted service or in your infrastructure
Build strategic document analysis expertise
- Customized events - from two-hour workshops to multi-day trainings
- Joint development of new NLP models together with our Data Scientists
- Conceptual design and roadmap planning for your document analysis projects
“Forecasting Endress+Hauser's performance across all regions, products and sub-industry segments is the basis for the company's strategic planning. tetrel has solved this forecast by integrating external and internal data in one model. For example, we were able to accurately predict the development of our target markets in 2021 in the chemicals division despite the pandemic. We look forward to further collaboration. ”
Head of Department Portfolio Strategy Development
“We are delighted with the cooperation with tetrel. It is remarkable how they manage to convey such a challenging topic as machine learning in an understandable way. We were able to realize the desired results with our use case and build up additional know-how. Everything on time and on budget, which is rare in IT projects. The combination of top expertise and the customer orientation makes tetrel a first-class partner for us. A clear recommendation. ”
Head of Research and Development
“A lot of historical information that was previously almost inaccessible to us can now be used thanks to tetrel and their docuduct platform. Partnering with the company was the fastest and best way to renew our processes and build a customized workflow solution with a reliable source of information. ”
Chief Operating Officer
“tetrel implemented a tailor-made machine learning solution for us in a very short time. We were impressed with the project results, tetrel's know-how and the valuable exchange of experience with our in-house data scientists. ”
Head of Data Intelligence
From the heart of Berlin, we provide document analysis and knowledge process automation solutions to companies across the EU. Our document analysis applications are developed according to the European Commission's principles for trustworthy AI. Many years of experience and extensive know-how in the areas of data science, data engineering and software implementation in the environment of regulated companies are incorporated into our solutions. Our team is internationally renowned and works remotely and decentralized across the globe.