Watch Vincent Perrier interview – with Cécilia Severi from B SMART
Vincent Perrier, Nextflow Software CEO, has been interviewed by Cécilia Severi, journalist at B SMART – LE LAB, to discuss about the company development.
“LE LAB” is a TV show where numerical actors pitch about their innovative technologie. Everyday, four start-up/ company/ wide organisation present their expertises and innovative solutions.
Discover Vincent Perrier vision by watching the interview below (the transcript is also available below).
Note: Voice in french/ sub-titles in english.
Watch the interview
To conclude, I have Vincent Perrier with me.
You are Nextflow Software CEO. The company is a software vendor, in the deep-tech field, with a specialty in fluid mechanics. Tell us more about it.
Absolutely. We are a numerical simulation software vendor, applied to fluid mechanics.
It is a spinoff from an engineering school (Ecole Centrale in Nantes – France), and a research laboratory. The simulation, in fluid mechanics, to explain clearly…
Yes, because not everyone knows what fluid mechanics is.
Absolutely! You have fluid mechanics every day, in your daily life: a flowing river, it is fluid mechanics. An airplane flying, supported by the air, it is fluid mechanics. A car penetration coefficient, when you drive on the highway at 130 km/h, the air resistance, it is fluid mechanics.
Numerical simulation is the simulation of the mathematical equations that govern the physics of fluid mechanics, to make airplanes fly, to make sure that car penetration is optimal in the air, or for a boat, that its navigation on a river or on the sea goes well.
So your targets, it is the aeronautical field, right?
It is the industry overall.
Our software is targeting engineers who work for R&D centers, at industrial companies which design and manufacture industrial products, systems. It can be car/ boat/ airplane manufacturers, it can also be infrastructures, construction equipment, hydroelectric dam, or a road for example.
It is extremely broad.
So what you are offering is a simulation software to be used by researchers, in other words.
To designers, ok.
What is the difference between your software and another one that may have existed before?
Yes, of course.
The laboratory and then our teams have spent many years in research and development to achieve numerical methods for simulating those liquid or gas flows, more liquid flows in our case. And also to make possible their more accurate representation and to push back the limits of simulation in this science of fluid mechanics. And to bring better design solutions and better solutions to make suitable design choices to engineers who will manufacture these different industrial systems and products.
Can we highlight one thing which has helped you stand out?
A technical thing for example, do we have artificial intelligence? Machine learning, what do we find?
No, without going into very technical details as these details will only be understandable to engineers. But in fact, when you work on numerical simulation, you have two important parameters, which are:
- the time that the engineer will spend to setup his simulation,
- and the time that he will spend to make use of the simulation results.
And you have the computation that can take more or less time. Fluid mechanics is well-known for being very computational-heavy, especially on supercomputers that you hear about.
To make it simple, we reduce as much as possible the preparation time: instead of taking hours, sometimes days to setup a simulation, we have reduced it to few minutes. And on computation time, on specific cases, which could take days or weeks of calculation, thanks to our innovative method, a different way to simulate fluids flow, called “particle-based”, we will also reduce the computation time. We can divide the computation time by 5 or 50 sometimes!
Amazing, thank you very much Vincent Perrier for coming and introduce your company, a software vendor for fluid mechanics engineers, you were our last guest for today.
I’ll will see you tomorrow for new interviews.