Development of customized artificial intelligence models
Using custom AI for monitoring
TKM's R&D team develops high-precision Artificial Intelligence models tailored to your technological and scientific monitoring needs. The goal is to achieve a level of accuracy far superior to generic AI in complex situations—that is, when rule-based systems are no longer sufficient to manage the flow of data generated by monitoring.
The contribution of precision AI
Some themes cannot be addressed by explicit rules. Concepts such as sustainability, inclusivity, or eco-responsibility are expressed in multiple forms, through a very heterogeneous vocabulary that can encompass different realities.
Thanks to our expertise in Data Science, we are able to combine proven artificial intelligence approaches (such as classification, clustering, entity detection) with large-scale language models (LLM).
In these situations, AI acts as an extension of data mining: it analyzes semantic proximities, captures underlying intentions and puts content into perspective.
Our models are trained on your customized use cases, in order to take over from expert systems when they reach their limits, while maintaining clear control by business teams.
use cases
L’Oréal and TKM: high-precision monitoring
Customer problem
L'Oréal wants to quickly identify patents with a high environmental impact among the thousands of publications released annually. Traditional keyword-based or generic AI solutions offer only 30-40% accuracy, which is insufficient for this strategic issue.
TKM Solution
- Development of a customized monitoring solution using machine and deep learning models specifically trained on the eco-responsibility criteria defined by L'Oréal experts.
- The platform automatically identifies relevant patents, regardless of the technical criteria.
Concrete results
- Weekly notifications of strategic patents and systematic highlighting of “green” patents.
- Significant time savings and R&D focus on priority environmental areas.
TKM, expert in precision AI applied to competitive intelligence
Why automate the sorting of intelligence information using AI?
Automating the sorting of intelligence information using AI makes it possible to process massive volumes of data while improving the relevance of the results.
The artificial intelligence models developed by TKM significantly reduce informational noise by identifying, classifying and prioritizing only the content that is truly useful to your technological and strategic challenges.
This automation offers considerable time savings improved accuracy in source selection, and increased robustness of classification , particularly with complex corpora. It thus facilitates the analysis of trends, weak signals, and key innovations, both locally and internationally.
Why is TKM's expertise in data science crucial for your AI monitoring?
The performance of an AI-powered intelligence solution depends heavily on the choice and configuration of models, which vary according to datasets and business objectives.
However, there is no universal model : patents, scientific publications, collaborative projects or market data exhibit very different structures and levels of heterogeneity.
Thanks to its advanced expertise in data science (dedicated team and R&D investments) , TKM supports its clients in selecting, adapting, and evaluating the most relevant models, taking into account sectoral and competitive contexts. This customized approach guarantees reliable, actionable results tailored to your technology monitoring needs.
What is the advantage of using custom-trained AI models rather than generic AI for monitoring?
Generic AI is designed for broad applications and quickly shows its limitations when it comes to technological and scientific monitoring. Conversely, models custom-trained by TKM—also known as precision AI —are specifically tailored to your sources and your business.
TKM experts train and "overtrain" models on complex scientific and technical corpora, such as patents or publications, which require a deep understanding of entities, concepts, and business logics.
This specialization makes possible what is impossible with generic AI , enabling far more reliable and precise analysis than standard processing of web content or general news. This, in turn, strengthens the strategic value of your monitoring system.
