Stay Informed.

Welcome to an inside look at OSE Engineering.


September 03, 2019 by Benedicte Galmiche.

The Future of Work is Remote.

At OSE Engineering, we are all part of a new generation of workers who work remotely.
Digitalization has revolutionised how, where and when we all do our jobs. This is what allows us to nurture our customer relationships.

Digitalization has revolutionised how, where and when we all do our jobs. Even as working from home becomes relatively commonplace, a new form of remote work is emerging: working from anywhere. Employees can now live and work where they choose, anywhere in the world with a reliable internet connection.

Yet remote work is not just about being wherever you want whenever you want. It’s also about saving time and energy by avoiding unnecessary commuting and stress.

This is what allows us to nurture our customer relationships which eventually boils down to delivering a stellar customer experience.

Harvard Business School recently published an article on the benefits that companies can get when employees work remotely. It is time to join us!

August 28, 2019 by Mikael Volut.

Welcome to our Data & CFD Business Manager!

OSE Engineering welcomes our new team member, Christope Leclercq, who is our Data & CFD Research Engineer!

Christophe has joined us this week after a 5-year experience in computational fluid dynamics (CFD). After a PhD in Fluid Mechanics at EDF in 2017, which aimed at predicting the cavitation erosion of pump impellers, Christophe joined ATMOSTAT, a French industrial company in the energy, defense and aeronautics sectors, where he worked on the optimization of methanation reactors. In 2018 he joined CETIM (Technical Center for Mechanical Industries) as a project manager and tackled various industrial issues in the field of Fluid Mechanics.

Welcome to our team, Christophe!

July 26, 2019 by Benedicte Galmiche.

How to use Artificial Intelligence to gain Business Value?

Artificial intelligence (AI) is transforming many companies and creates completely new types of businesses. But how to gain business value from AI?
At OSE Engineering, we strongly believe that AI has the potential to transform every business and bring it to another level.
Read more and discover a 4-step process towards integrating AI into full solutions that match your specific business rationale.

Artificial intelligence (AI) is transforming many companies and creates completely new types of businesses. But how to gain business value from AI?
Information technology is no longer just about process automation and codifying business logic. Insights are the new currency. Yet it is the speed with which we can scale and share those insights that is becoming a competitive advantage in more and more businesses.
Businesses that do not capitalize on the transformative power of AI risk being left behind and that is why every single company, department and team need an explicit AI strategy. At OSE Engineering, we strongly believe that AI has the potential to transform every business and bring it to another level. We don’t think AI is going to replace human. But it will supplement us in a way never seen before, allowing us to focus on higher level work.

Here we share a 4-step process towards integrating AI into full solutions that match your specific business rationale.

  • STEP 1: Identify the business priorities that can gain the most from AI.

  • The key challenge is to make sure your AI projects are aligned with your organization’s business strategy and will solve specific business priorities. It is vital not to become too entranced by a given technology, as if that technology by itself was the answer.
    Think first in terms of types of work. Then, consider the business rationale for integrating AI technologies into a fully integrated product that helps this work.
    To succeed, develop a close collaboration between AI engineers and business analysts as this will help the AI team tie their models to important business priorities through the right KPIs.

  • STEP 2: Provide explanations for your AI model predictions.

  • The ability to build confidence in AI models that customers can rely on for performance and security is a key challenge.
    Your business users are more likely to take action on your AI model predictions if they trust the model and if it provides intuitive explanations for its predictions.
    The key is to roll AI out gently and openly. To improve transparency, build time into your plan to provide explanations globally and localy. Inform about the model’s key drivers and the strongest predictors. Prepare dashboards, visualizations of information flow within models and other displays according to your users’ needs.

  • STEP 3: Upskill your exiting employees with basics of data science and statistics.

  • Accessing AI skills can be a real challenge for many organizations. Therefore, this step is about reviewing your in-house AI skills and capabilities, and working out where you need a skills injection.
    The changes in your business models as part of your overall AI strategy will also need to be reflected in your organisational structure. As there might be a shortage of AI engineers, think to upskill your existing employees and take advantage of a new generation of products that simplify AI model development.
    One of the keys is to use the right combination of business analysts working closely with AI engineers and data engineers.

  • STEP 4: Keep an eye on the big picture.

  • Companies building out their AI services practice should also embrace the way the technology is changing the IT world around them.
    AI will deliver value businesses in the form of customer engagement, workforce empowerment and business optimization. But in order to succeed, AI needs to be associated with technological advancements, such as developments in the cloud platforms, mobile applications, dashboard reporting, IoT and connected devices.


    For business leaders, it is imperative to get a plan for making AI work in the organization as the risk of businesses becoming non-competitive by ignoring AI is high.
    To know how OSE Engineering can help you leverage Artificial intelligence and Machine Learning in your digital transformation journey, contact us on our LinkedIn page!

    June 11, 2019 by Benedicte Galmiche.

    Digitalization in the Maritime Industry.

    At OSE Engineering, we believe in digitalization in the maritime industry.
    This is why we have been building strong partnerships with actors of the maritime industry and support them in their digital growth.

    Digitalization in the Maritime Industry

    Digitalization is becoming ubiquitous in more and more industries every day. Companies operating in the maritime industry are now ready to jump on board and embrace the benefits brought by the innovations that made other sectors more efficient, robust and safe. Yet there are many insecurities and concerns about the genuine value of the data available and the overwhelming number of solutions on the market. Decision makers need to be supported in order to understand which technology and partner will suit their business best and bring a value that goes beyond the buzz words used in marketing material.

    2019 state of play

    The maritime and offshore businesses are traditionally not the most obvious sectors one would relate to digital innovations. Innovators have thus been slow to propose and deploy digital solutions to cope with the maritime industry inefficiencies, overcapacity and difficulty to build long lasting competitive advantage in a very homogeneous market. This untapped potential has recently attracted many new players, helped by the low entry capital requirements when deploying existing technology into a new sector. In fact, the number of digital solutions for the maritime and offshore industry now reaches several hundred different software and tools available on the market. Within the incumbents there is also a strong group of early adopters who are already taking on the challenge and have started to use digital innovations as part of their solutions to improve their competitiveness. This is becoming even more critical as new environmental regulations are coming into play with the potential to redistribute the cards between the different actors.

    Our manifesto

    Established companies are being challenged like never before, yet, at OSE Engineering, we firmly believe that they have an advantage that goes way beyond the brand reputation: they own the know-how that will enable to create long term value. Copy pasting a solution from another industry rarely live up to the promise. This is why we have been building strong partnerships with actors of the maritime industry and support them in their digital growth. Rather than trying to sell them off-the-shelf products, we take the time to design with them a tailored solution that answers all the specificity of their problem or function as an enabler for their own unique business model. Enhanced operational safety and efficiency, increased revenue sustainability and new revenue opportunities are just around the corner for those who will join the wave.
    Source: Maritime Software Landscape, white paper from Kongsberg.

    May 28, 2019 by Mikael Volut.

    We believe in concentrated solar power technology.

    French utility EDF Renewables has just won tender to build 800 MW solar plant in Morocco. The new plant will combine concentrated solar power and photovoltaic technologies to produce 800 MW of renewable energy, with a storage capacity of 5 hours.
    At OSE Engineering we welcome these news as we strongly believe in the concentrated solar power technology as one of the most promising value-creation opportunities in desert areas. Since 2015 we work in partnership with the French laboratory CNRS-PROMES at the Themis solar power plant on concentrated solar irradiation.


    May 24, 2019 by Mikael Volut.

    Happy Birthday OSE Engineering!

    This month we celebrate our fifth birthday!
    Since 2014, we have been working with fantastic people on amazing projects and we would like to thank all our partners and clients for their continued trust and commitment.
    We hope that the next five years will be just as successful as the years before!


    May 21, 2019 by Bénédicte Galmiche.

    Welcome to easier Machine Learning.

    If you believe in Artificial Intelligence (AI) as much as we do, you will not have missed that last March Google released a new version of their popular yet powerful TensorFlow library. Call it TensorFlow 2.0.

    TensorFlow core strength has always been its performance and its great scalability to take models from research to production. However, one should also admit that, as powerful as it was, it could only be mastered by few.

    Well, this is over as TensorFlow 2.0 shifts its focus to “uncompromising usability”.

    In its latest version, TensorFlow high level API removes all the frictions that previously existed while still maintaining the great performance and scalability that made its success. There is now an easy-to-use and consistent API to democratize AI. People are empowered to join in the revolution that is spreading across all industries. That is great news.

    It is a radical makeover and clean-up which will have major ripple effects through the industry. For beginners, it makes machine learning more accessible than ever. The entry cost in time and budget will considerably drop when it comes to demonstrate the benefits that AI can bring into your daily activities. For those already using TensorFlow, the new version will streamline and speed up the development of the next iteration of your AI products.

    At OSE Engineering we welcome this update as it will allow us to bring your projects to fruition faster to let you do higher-level work and create.

    The game just got easier. Now’s the right time to dive in!

    May 15, 2019 by Mikael Volut.

    We have just hired our Data & Business Manager!

    OSE Engineering welcomes our new team member, Bénédicte Galmiche, who is our Data & Business Manager!

    Bénédicte has joined us this week after a 10-year experience in the development of innovative technologies and techniques, both in academics and industry. Bénédicte graduated with a PhD in Energetics in France in 2014. After that, she joined the Mechanical Department of Imperial College London as a Research Associate. In 2016 she joined McLaren F1 team where she developed data analysis tools, used for both production and at the track, for the Energy Recovery System. During the last two years, she worked at BP UK and was focused on digital technologies to improve efficiency and increase effectiveness of both businesses and people.

    Welcome on board, Bénédicte!

    February 25, 2019 by Nicolas Bordet.

    OSE Engineering will be at the SIA conference on Numerical Simulation on 3rd-4th April 2019.

    OSE Engineering will participate to the international conference and exhibition organised by the SIA (French Society of Automotive Engineers) on Numerical Simulation on 3rd-4th April 2019.
    With IFP Energies Nouvelles, we will present a computation and data driven solution for assisting OEMs in ensuring RDE compliance for a target vehicle application on any RDE-compliant driving cycle. This is achieved by combining a transient vehicle Simulation-As-a-Service platform (developed by IFPEN), with OSEroad, a GPS-matched realistic RDE driving cycle generator (developed by OSE Engineering).
    You can find the detailed planning of this event here.


    February 18, 2019 by Mikael Volut.

    Our new website has launched!

    Our new website provides a clear message of who we are, what we stand for and where our value lies when developing, delivering and maintaining user-centric digital engineering solutions.
    It has been designed to reflect our new visual brand which we will be launching this year.
    Explore the site and feel free to contact us to share your thoughts!


    January 6, 2019 by Mikael Volut.

    Happy New Year!

    OSE Engineering team wants to thank you all for such a wonderful year, and we wish you a lot of success in your 2019 projects !


    December 18, 2018 by Nicolas Bordet.

    Real Driving Emissions,
    From laboratory to real life engineering.

    How digitalization and Engineering 4.0 can be used to address the challenges associated with the Real Driving Emissions framework (RDE) in automotive industry?
    Go a step further in understanding the motivation for the introduction of the RDE framework by reading our latest article on LinkedIn.


    June 4, 2018 by Nicolas Bordet.

    Real Driving Emissions,
    Solving the challenges through digitalization.

    For the engineers in the automotive industry, we developed OSEroad, the first Real Driving Emissions (RDE) cycles generator, to address the challenges brought by the RDE regulation. Discover our product and the context of its development in these articles, Part 1 and Part 2.