R&D Lab

Our society is facing new and unprecedented challenges. Human interactions on social media, business digitalization and the Internet of Things generate petabytes of new information every second. Businesses evolve faster every year and we need to adapt to these new social and economic behaviors. We need new tools to build a sustainable society and deal with urgent environmental issues.

Why we built a

Artificial intelligence carries the hope that mankind may be able to improve its ability to decide its own future by predicting how complex systems evolve. Thanks to data science, machine learning, and biomimicry, we can understand complex structures and behaviors. AI can generate paintings or videos, teach a machine how to play the piano, and even detect unknown extraterrestrial signals, as reported by the SETI (Search for Extraterrestrial Intelligence) program.

Developing our own Research & Development capabilities is our way to directly contribute to the amazing discoveries and inventions that fuel innovation every day. 

To advance faster, our research teams gather scientists and engineers who share a common passion for AI and innovation in general. We are collaborating with neuro-scientists, and cognitive, behavioral and language specialists to constantly bring in cutting-edge research insights. 

At the Mantu Lab, we are working with private sector and academic partners on major research projects such as:

Thanks to AI and robotics, we can automate repetitive tasks, or tasks that humans cannot perform at large scale, such as analyzing large volumes of financial, healthcare or environmental data.


Bio-inspired neural networks


Neuroscience and behavioral analysis


Natural Language Understanding


Computer Vision, AR/VR, and 3D Reconstruction

Blockchain Technology

We also strive to connect our AI research findings with Blockchain technology.

For instance, in order to process and manage vast amounts of data, algorithms need to be trained on structured datasets. Blockchain offers a solution to this challenge, because the data stored in a blockchain is verifiable, structured and secured. Furthermore, advanced interoperability between different blockchains will pave the way for a faster data processing and management. As a result, organizations will be better equipped to exchange relevant information, which will increase their ability to cooperate and to co-innovate in order to better grasp market forces and individuals’ interests. We aim to fully leverage these synergies between AI, blockchain and big data.

Research Axes

We focus on combining our sector-specific skills and expertise with the latest technologies to add real value to areas such as the Internet of Things, predictive maintenance, business intelligence, marketing, training, recruitment, and healthcare.

Maintenance & Bug Detection

Bug detection through user behavior analysis (PhD thesis in collaboration with INRIA)


  • NLU Document classification and matching
  • Semantic Analysis (PhD thesis in collaboration with the LIRMM)

System Specification & Validation

System Specification & Validation Building and validating Machine Learning pipelines

Anomaly detection

  • Neural network solutions to detect unusual patterns in time series (RNN, LSTM, AutoEncoder, HTM),
  • Statistical analysis to detect unusual events in database object
  • IoT, Maintenance, AR/VR

    • Computer Vision and 3d Reconstruction
    • Eye-tracking technology


    AI & Machine Learning P.o.C.

    Our AI researchers and data scientists will work hand-in-hand with our customers to achieve the best ROI and find new uses for their data

    Data Pipelines

    We provide solutions for each key phase:
  • Data Acquisition (OpenWeb, IoT)
  • Data normalization/enrichment (Geolocation, Parsing)
  • Analysis (NLP, Anomaly Detection, Classification, Prediction…)
  • Visualization
  • Market Analysis

    Our integrated spatial market analysis tool can instantly gather a large volume of reliable data on the targeted market segment. The preprocessing feature helps analyze the data, as well as classify and predict more data thanks to Machine Learning and AI.