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LLM use cases you can trust.
Our catalogue of use cases.
Applications and automations are trained on your data and can be customized to your needs.

We are ISO-27001 certified, work with external DPOs and offer multiple LLM options to keep your data safe.
Your data stays confidential, and is not used to train models that aren't yours.
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Further resources.
Look into the following resources to learn more about how LLMs can help you.
A 360 Degree of DeepSeek-R1
While DeepSeek-R1 advances AI technology, its risks underscore the need for transparency, ethics, and safeguards in enterprise adoption.
Read moreNavigating EU Regulations: How Financial Institutions Can Use AI for DORA Compliance
In an era of digital acceleration, the financial sector faces growing pressure to ensure resilience and data security amid rising cyber risks. Over two decades, cyber incidents have cost the sector $12 billion, with $2.5 billion reported since 2020.
Read moreEssential Concepts & Terminology of Large Language Models (LLMs)
Discover the essential concepts and terminology behind Large Language Models (LLMs) in this blog, breaking down how neural networks, transformers, and attention mechanisms power the AI revolution in language understanding and generation.
Read moreMacros: Turning Co-Pilots into Auto-Pilots
Cognition's new Macros feature automates tasks using natural language, making it easier for domain experts to extract document information and boost productivity.
Read moreEntity RAG + LLMs: Powering Enterprise Grade AI
Join us to explore the latest cutting-edge AI technology behind the most accurate and reliable GenAI applications transforming customer service.
Read moreChoosing the right LLM for your RAG project
Barely a week goes by without a new, amazing model release. Claude 3, Llama 3, Phi-3, Command R+, Mixtral 8x22B, or GPT-4o are just a few of the absolute most recent model releases that have caught the attention of many.
Read more4 Key components of a success RAG pipeline for your GenAI application
Learn about the key elements of a successful RAG pipeline for Generative AI, focusing on effective data organization, advanced AI techniques, and continuous quality monitoring to enhance AI response accuracy and relevance.
Read moreWhy Retrieval-Augmented Generation (RAG) can sometimes fail and cause hallucinations.
Let's delve into the primary reasons behind hallucinations in genAI and discuss potential solutions, enabling you to develop the most dependable AI applications to date.
Read moreIntroducing Data-Centric RAG: Powering the Most Reliable and Accurate GenAI Applications for Enterprise Use
This blog introduces a “data-centric RAG” approach to enhance the reliability and accuracy of Generative AI applications in enterprises, focusing on improving data quality and integrating domain-specific knowledge to combat AI hallucinations and ensure relevant responses.
Read morePioneering Innovation: How GenAI is disrupting Finance & Banking - with free ebook download
An actionable guide to the diverse elements of Generative AI in Finance and Banking that are changing the landscape of productivity, customer experience, and the way the industry operates.
Read moreFrom 3-5 minutes to 30 seconds when searching for information in customer service.
Markel’s goal was to modernize their internal support team processes with Gen AI, aiming to enhance customer experience while also ensuring the safe and secure deployment of AI.
Read moreBeating GPT-4 on a specialized task
Crowd.dev's goal was to enhance their product by adding sentiment analysis to their existing community analytics. As their customer base are developer tools with billions of community activities, they had to find a cost-efficient, specialized alternative to GPT.
Read moreHDI Global Built Enterprise-Grade AI Applications with Kern AI
HDI Global Netherlands, a leading industrial insurer, partnered with Kern AI to fast-track the development of secure and scalable Generative AI applications across multiple domains and use cases. Confronted with fragmented knowledge, technical skill gaps, and rising internal demand for AI-driven solutions, HDI adopted Kern AI’s data-centric platform to build a suite of LLM-powered tools.
Read moreFinovate Europe 2024
Cutting-edge fintech innovations & impactful connections for accelerated growth 1000+ decision-makers. 500+ from financial institutions. 35+ cutting edge fintech demos. 100+ insightful speakers.
Read moreNCA Innovation Day
Save your spot for NCA Innovation Day 2024 and be at the forefront of cutting-edge solutions and trends. Connect with handpicked startups and navigate the industry’s next wave of innovation – seize tomorrow’s technologies today!
Read moreFintechworld 2024
550 people from the entire banking and financial services industry came together at FintechWorld23 to discuss the latest trends and services and to network. The event is now entering the next round, with even more fintechs, even more banks, investors and even more networking opportunities.
Read moreInsurtech Insights London 2024
Insurtech Insights was founded to become the #1 catalyst of insurance innovation across the globe.
Read moreInsurance Forum Austria 2024
The Insurance Forum Austria (IFA) is the leading platform for the exchange of strategy and expertise between decision-makers in the insurance industry. Established companies and innovative InsurTechs from the international and Austrian insurance market will share their strategies and new business models, as well as their assessment of the current challenges on the markets.
Read moreBanking Summit Vienna
The Banking Summit Vienna is the leading DACH strategy forum on the future of banking and brings together senior executives from DACH banks, neo-banks and top representatives from regulatory bodies, big and fin-techs and politics.
Read moreInsureNXT 2024
insureNXT is the international congress fair for innovation in the insurance industry. It is the future leading platform for traditional insurers, brokers, start-ups as well as consultancies.
Read moreGerman startup Kern AI nabs seed funding for modular NLP development platform
TechCrunch writes about our seed funding.
Read moreKern AI: Applying ChatGPT-like capabilities for confidential data
Most data science teams working on text- and document-AI are typically restricted in what they can build. Collaboration with domain experts works mainly via Excel file sharing, leading to slow annotation and intransparent data decisions.
Read moreKern AI: Helping insurers safely adopt LLMs faster by building trustworthy AI applications
Large Language Models (LLMs) such as ChatGTP are rising and have massive potential to enhance insurers’ processes and customer support, but how can insurers make sure that such models know their company and their data? Kern AI accelerates insurers’ adoption of LLMs, enabling them to enhance the efficiency of their claims processing, policy management, and customer support operations, all while maintaining the strongest data privacy and adherence to industry regulations.
Read moreDynamic ChatUIs
Chat Interfaces are now dynamically rendered based on the logic of your pipeline. Use this e.g. to have ChatGPT ask questions back to you before diving into the answer.
Read moreShow & Tell - Kern AI - ITC DIA Barcelona 2023
Pitch of Kern AI at ITC DIA in Barcelona 2023
Read moreShow & Tell - Kern AI - ITC DIA Munich 2023
Pitch of Kern AI at ITC DIA in Munich 2023
Read moreLLMs explained
In this video, we explain very simply how Large Language Models like ChatGPT work. Of course, some parts are a bit generalized or simplified, but we hope this can help people new to the field get a better understanding of how these fantastic models fundamentally work and function.
Read moreDas bessere ChatGPT
In this episode of the Digital Insurance Podcast, Jonas Piela talks to Johannes Hötter.
Read moreEnvironment Variables
Environment variables are required to connect to e.g. cloud LLMs.
Read moreAgent's Behaviour
See how to configure the action steps an GenAI agent can do.
Read moreReference data
This is the knowledge base a GenAI assistant can access.
Read moreConversations
Download and analyse conversations from a GenAI agent.
Read moreAnalytics and Monitoring
See how your GenAI agent performs and how you can improve it.
Read moreChat UIs
Use the pre-built chat UI to get your system up and running as fast as possible.
Read moreData Processing Documentation
On Cognition, there is a data processing pipeline known as ETL (Extract, Transform, Load). This pipeline handles the processing of data in the form of PDF files.
Read moreProviding feedback
In this short article, you see how to improve your feedback to help design a reliable AI system
Read moreChange Display Language
In this short article, you see how to change the display language in your UI to your preferred language
Read moreChecking references
In this short article, you see how to improve your feedback to help design a reliable AI system
Read moreDefining search filters
In this short article, you see how to define filters for documents to consider when answering your question.
Read moreHow to write good prompts
In this article, you see how to write better prompts in the system.
Read more