Making Machines Understand
Unlock value from text.

Bring the power of Natural Language Processing to your business.
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About deepset
We apply latest research on Natural Language Processing (NLP) and Transfer Learning to deploy NLP applications as efficient as possible. With extensive industry experience and an active open source community, we can tailor our standard framework to solve individual cases for tasks such as Named Entitiy Recognition, Document Classification, or Question Answering.
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Technologies
No magic. Just cutting-edge NLP driven by Transfer Learning.
Automatically detect and tag different types of documents.
Condense texts to their absolute essence.
Search for content not just for keywords.
Detect the key topics across large corpora of documents.
Detect & extract structured data like products, proteins or liability sums from your documents with customized entity recognition.
Automatically reply to frequently occurring questions.

FARM


Our open source framework for applied Transfer Learning boosts NLP for practitioners to the next level.
Build better models with less training data.

Have a look at our Github repository.

Fast
Build a Proof-of-Concept for your NLP application using proprietary data with state-of-the-art language models as fast as never before.
Easy
Follow our step-by-step guide to easily understand how to apply FARM. Focus on your NLP task, FARM takes care of the rest.
Adaptive
Deploy diverse downstream tasks and tailor your particular NLP application to your needs.
Do you need an introduction to FARM or any further information?
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Services
We deliver the value of NLP through structured approaches, targeting each part of the life cycle of our systems.



Use Case Discovery
Through a structured format we gain an understanding of processes, information needs and data and provide impulses to identify valuable cases for NLP
Proof of Concept
We apply technologies to real customer data and build working models to assess the technological potential of NLP for the identified use case
Productization
The integration into existing IT landscapes is performed, under consideration of all relevant requirements regarding performance, robustness and data security
Operation & Maintenance
To keep our customers' focus on their business, we ensure the availability of the developed system and take care about continuous adaptions to ever changing conditions
Use Cases
Every industry has its own language and semantics.
Our NLP models are native speakers of your specific jargon.
Biotechnology & Pharmacy
We scan scientific literature, extract customized terms like drugs, chemicals or diseases and their relation among each other. With our expertise we support the drug discovery process or construct a knowledge landscape.
Industry & Manufacturing
We see enormous value in understanding the content of a company's internal documents and making it accessible through cognitive search, summarization or content extraction. Categorizing written reports in combination with other structured data (sensor data, database entries…) unlocks previously untouched potential.
Finance & Compliance
We support strategic and financial investors in the identification of relevant companies to enhance their portfolio. By utilizing information sources like websites, product presentations, social media etc. we deliver an holistic view about a potential target.
Automatically answering simple questions about contract compliance helps the Due Diligence process in significant ways.

Knowledge & Insights
We share knowledge on how AI works, tailored to the needs of various audiences within an organization. Beyond this, we examine existing data and AI capabilities in order to validate and identify potentials for the utilization of AI.
AI Workshops for Executives & Technical Experts
We provide an effective training format to bring you up to speed with the latest AI developments. While the final content is always individually fitted to the audience, we have two major workshop types: One for executives and one for developers. For executives we focus on concepts, business opportunities, market structures and integration approaches. For developers we provide introductions to deep learning, cutting-edge model architectures and recent developer tools to accelerate your work. What distinguishes us from others: We draw from the experience of real-world AI projects.
AI Due Diligences for Strategic Purposes
We perform fast reviews of a company's processes, application systems, data sources and existing AI initiatives to assess status quo and the potentials for introducing AI. Our analysis is driven by the strategic objectives of our clients. It results in an elaborate assessment and a roadmap, prepared to support strategic decisions and evaluate the "AI potential" of a company or product.
We love diversity and enjoy working with clients of all sizes:
From small tech-startups to large international corporates.
Clients & Partners
What our clients say

Management
As experts from a relatively young industry, we know about the potential of machine learning but see the untapped opportunities at the same time. Bridging this gap unlocks enormous value but also requires thoughtful and responsible change. Therefore, bridging this gap is not just a matter of technology or its implementation - it is also a matter of how change is approached. Introducing methods of NLP, as one of the most disruptive disciplines of this century, will make machines understand - but also people need to do so. Bringing all together - approach, technology and especially our clients - is the recipe for generating value. This is the rationale behind deepset and it is what drives our work everyday.
Milos Rusic
Co-Founder
Milos introduced methods of machine learning to large companies and mature industries. Having a sound understanding of the technologies he believes in the value of applying them to all kinds of business problems. Milos gained experience in research, consulting and AI start-ups.
Malte Pietsch
Co-Founder
Malte created Machine Learning models in various sectors with a focus on NLP. Fascinated by the speed of recent developments in deep learning he enjoys bridging the gap from research to business applications. Previous stops: plista, TU Munich and Carnegie Mellon University.
Timo Möller
Co-Founder
Timo is the tech guru at deepset, he has been researching Neural Networks since they still had one hidden layer and coded a deep object recognition system from scratch. He has been working in the industry to apply machine learning models at all scales and believes it is important to democratize AI knowledge through open sourcing and education.
Management
As experts from a relatively young industry, we know about the potential of machine learning but see the untapped opportunities at the same time. Bridging this gap unlocks enormous value but also requires thoughtful and responsible change. Therefore, bridging this gap is not just a matter of technology or its implementation - it is also a matter of how change is approached. Introducing methods of NLP, as one of the most disruptive disciplines of this century, will make machines understand - but also people need to do so. Bringing all together - approach, technology and especially our clients - is the recipe for generating value. This is the rationale behind deepset and it is what drives our work everyday.
Milos Rusic
Co-Founder
Milos introduced methods of machine learning to large companies and mature industries. Having a sound understanding of the technologies he believes in the value of applying them to all kinds of business problems. Milos gained experience in research, consulting and AI start-ups.
Malte Pietsch
Co-Founder
Malte created Machine Learning models in various sectors with a focus on NLP. Fascinated by the speed of recent developments in deep learning he enjoys bridging the gap from research to business applications. Previous stops: plista, TU Munich and Carnegie Mellon University.
Timo Möller
Co-Founder
Timo is the tech guru at deepset, he has been researching Neural Networks since they still had one hidden layer and coded a deep object recognition system from scratch. He has been working in the industry to apply machine learning models at all scales and believes it is important to democratize AI knowledge through open sourcing and education.

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FEEL FREE TO CONTACT US
engage@deepset.ai
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