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SOLUTIONS
Start your journey to derive value from documents by checking out use-cases
Challenges: Monitor and evaluate company and market information.
Data sources: Website (news, publication), social network (Twitter…) combined with business vocabulary (company, product…).
Impacts: Automation of processes, automatic support for recurrent tasks with even large volumes of document, multilingual scope.
Automated pipeline:
Challenges: Track and evaluate technology trends.
Data sources: Website (news, publication), social network and business vocabulary (technology…).
Impacts: Automation of processes, multilingual scope.
Automated pipeline:
Challenges: Detect, assess and monitor adverse reactions and associated conditions of pharmaceutical products.
Data sources: Websites (reviews, publications, research, trials, drug approvals, patient forums), journals combined with business vocabulary (drug names, molecules, symptoms…).
Impacts: Automation of processes, Respond to new customer requests easily, Multilingual deployment, Extend volume of content monitored.
Automated pipeline:
Challenges: Detect numerical data figures and other information in contracts: Termination? Effective date? Obligations? Fees?
Data sources: Documents (contracts, statutes…) in research, due diligence or forensic processes.
Impacts: Allow exhaustive analysis, Extend manageable document volumes, New questions? Just reanalyse (prohibitive when done manually).
Automated Pipeline:
Challenges: Identify customer irritants and detect their degree of dissatisfaction.
Data sources: Customer verbatim, speech-to-text recordings.
Impacts: Automation of processes, multilingual scope.
Automated pipeline:
Challenges: Make content more findable, create new products or services, improve editorial processes.
Data sources: Editorial content, newspaper & broadcast (speech to text) and business vocabulary (thesaurus, list of people, organization…).
Impacts: Automation of processes, easy to integrate and ready for large scale deployment.
Automated pipeline:
PLATFORM
A fast, accurate & fun AI-Powered Natural Language Processing Platform for everyone, to build and run AI Assistants at scale
Text annotation & Dataset creation
Upload your documents, annotate and create dataset quickly with our unique suggestion engine.
Achieve high quality dataset using our powerful search, filtering and navigation features.
Text in any format, including audio.
Machine Learning experimentation
Evaluate different state-of-the-art Machine Learning and Deep Learning libraries.
Train your models on dataset, tune and select the most appropriate one.
No coding required.
Annotation pipeline & Knowledge Base
Build your annotation pipeline with your custom models and possibly Knowledge Base especially when it comes to ensure normalization, disambiguation & linking of information.
Any Knowledge Base, including Wikidata, always up-to-date.
Your AI assistant is ready.
Deployment & Monitoring
Deploy your annotation pipeline into your workflow, set up feedback loops to improve models performance and continue feeding your Knowledge Base.
Your AI assistant is up & running.
REFERENCES
Powerful AI and NLP software is vital to accomplish knowledge discovery in an efficient and fast manner for our scientists.
Dr. Karlheinz Spenny – Head of the Scientific Information Center
We just released our new version heavily driven by the Kairntech NLP platform for the semantic aspects with a pretty massive impact.
Hugo Le Houarner – CEO
We are delighted to embark the Kairntech team in phase 2 of the DGA’s Artemis project to boost our capacity for innovation in AI & NLP.
Eric Rous – Senior Manager
To make the most of our content, it is essential to build high-quality AI models simply and quickly and to combine them with knowledge base.
Gaëlle Recource – Head of Content
The handling of the platform was very quick. We use it to accelerate dataset production with significant time savings.
Benjamin Carpano – CEO
Very useful platform and intuitive. The suggestion engine is clearly a monstrous time-saver. It even makes you want to annotate more!
Cédric Lagnier – CTO
We have integrated the Kairntech platform to boost our productivity while being able to offer to our customers the ability to analyse an ever growing number of documents.
Hugo Simon-Chautemps – COO
Our Technology and Innovation Intelligence services are based on semantic language models where Kairntech’s solutions accelerates the building process in a significant way.
Tim Schloen – Founder
With Kairntech, we produced verbatim analysis prototypes in record time. Their AI/NLP platform is essential for our new Customer Experience (CX) platform.
Arnold Haine – CTO
Automate document analysis?
We made it fast, accurate and fun for everyone.
Quickly build and run AI assistants that will power your documents processes, saving you time and effort. Anybody can do it. No programming skills required.
NEWS
Random check is dead, long live exhaustivity
Random check vs Exhaustivity In many professions controls are carried out on a random basis. It is a generally accepted practice that an auditor reviewing agreements or an analyst screening litterature proceeds with random checks simply because it is humanly impossible and much too costly to process each individual document. At the same time society … Continue reading Random check is dead, long live exhaustivity
Jumpstart your Machine Learning efforts by importing structured knowledge
Introduction Machine Learning approaches in NLP have been shown to be able to solve a wide range of tasks after being trained from scratch on an appropriate training corpus. While this is impressive, it often does not correspond to the demand in many real-world scenarios. Often relevant prior knowledge exists – in the case of … Continue reading Jumpstart your Machine Learning efforts by importing structured knowledge
Make the long road to augmented applications shorter by “do-it-yourself NLP”
Introduction Natural language processing (NLP) techniques have made tremendous progress during the last couple of years, thanks notably to algorithms such as Neural Networks which have surpassed traditional approaches with rules-based systems. Examples include Machine Translation (DeepL, Google Translate…) or Speech To Text (Siri…). Information Extraction, a subcategory of NLP, is also highly impacted. What … Continue reading Make the long road to augmented applications shorter by “do-it-yourself NLP”
COMPANY
For 20 years, we have been building Text Mining solutions in industry and public organizations contexts.
We created Kairntech in December 2018 to make NLP easy-to-use by domain experts without IT skills.
We leverage NLP with advanced methods including Machine Learning, Deep Learning &
Knowledge Base technologies to extract insights from your documents.
We are a team of seasoned and forward thinking people.
Gilles Pouzenc
Chief Executive Officer
Vincent Nibart
Chief Operation Officer
Stefan Geissler
Chief Scientific Officer
Want to join or send us a message?
