A pragmatic approach for data analytics!
We propose analysis and predictive systems very simple of use — for ordinary people — no need to be a data scientist. These tools are devoted for operational people that daily manage their tasks, and that will become Data Genius, without becoming Data Scientist !
NEHOOV approach is ECO-ANALYTIC, in the sense that our tools are by default stand alone and autonomous (no database). They are dedicated to be installed on a simple laptop! Reducing the CO2 footprint is important for NEHOOV.
Alain FuserCEO & FounderAlain has a Ph.D. in pure mathematics and his working in the field of machine learning since 2005. He spent 13 years at ENGIE. Eric LigierCTOERIC is an independent software developer since 2002, expert in agile .net development. Eric is mathematician too. Alexandre Wolff CMOAlexandre is a branding & marketing strategic expert. In 25 years he energized numerous raising companies and giants such as ENGIE or Bouygues Immobilier. Jack Copper EVP international sales Jack holds a Nuclear Engineering degree from the University of Virginia and completed his Postgraduate Diploma in Artificial Intelligence at Carnegie Mellon. He has been involved in this industry for over 30 years and has many patents in the US. Talbi El Gazhali Scientific advisorTalbi is a full professor at the University of Lille where he heads the CRIStAL optimization center. He has more than 300 publications in the metaheuristics sector to his credit.
Our customers all have a good anticipation of their future challenges and must deal with them. We quickly train them to the analytical ECO approach, allowing them to discover for themselves and with complete autonomy the information hidden in their data! They also trust the technology proposed by NEHOOV:
They also trust technologies proposed by NEHOOV :
“We tried various analytics software before trying the NEHOOV experience. We were fully aware of the existence of various solutions in the market based on neural networks, but none had the level of automation provided by NEHOOV, at contained cost. We want to emphasize the simplicity of use and the speed with which we conducted our studies.”
Pierre G, M&S Deputy
“With the injection of more and more renewables in the electrical system, storage stations must have more sense. Some past studies have shown that the storage station was not in the money. During summer 2013 we have seen some modifications in the shape of hourly prices in particular on sunny days. Is there a systematic transformation in the hourly shapes? That was the question raised to NEHOOV. We would like to assess that point and see if the evolution will be profitable for storage stations. The results provided by NEHOOV proved its relevance, and the capability of neural networks to answer such question. ”
Jean-Marc D., Business Development Oversight
“Please find below my testimony. Before we used NEHOOV technology, predicting the production from one of our hydro power plant proved extremely difficult as it depended on a blend of factors, some of which were nearly unpredictable (like the discharge from an upstream hydro plant or, to some extent, the extent and impact of precipitation). Using NEHOOV technology allowed for a more reliable generation forecast and made us save for more tens of k€ of imbalance cost per year.”
Thierry R., Deputy Project Manager