byteLAKE among 5 top startups & scaleups working on Computational Fluid Dynamics (CFD)
Recently, StartUs Insights, has published a report called: “Discover 5 Top Startups working on Computational Fluid Dynamics”. It reads: “Curious about new technological advancements in the manufacturing industry? Explore our analysis of 441 global startups & scaleups and learn how their computational fluid dynamics (CFD) solutions impact your business!” and the announcement on their website starts with a statement that I could not agree more with: “Staying ahead of the technology curve means strengthening your competitive advantage.” and then the article continues […] “This time, you get to discover 5 hand-picked startups developing computational fluid dynamics solutions.”
As a co-founder of byteLAKE, I am very excited to see that our team’s efforts have been recognized globally. It is an amazing feeling to open the news and see… wait a minute… have they just somehow found our product and placed it in the TOP 5 of the “new technological advancements in the manufacturing industry” category? WOW! Great THANK YOU to the whole CFD Suite team and StartUs Insights for the recognition!
byteLAKE has been running extensive research as part of our CFD Suite (AI-accelerated CFD) project to leverage Artificial Intelligence/ MachineLearning/ Deep Learning to reduce the execution time and significantly cut time to results for CFD simulations. We are currently focusing on the chemical industry and mixing processes with other scenarios being on our roadmap.
For those of you who are not familiar with what CFD is: it’s the technology that has been used by many industries to build products you know and many of them use daily. For instance:
- CFD is used to simulate and ensure the efficiency of the mixing process when producing: shower gels, shampoos, toothpaste, fragrances, paints, drugs, cremes, salad dressing, etc.
It’s also used to:
- build aerodynamics models in the automotive industry,
- when simulating the flow around the buildings and designing comfort zones in cities,
- in weather simulations,
- while optimizing fluid flow through pipes,
- in oil&gas,
- to simulate combustion and many many more:
In the context of chemical mixing, CFD helps design efficient and optimize production processes, ensure products quality of the products and migrate from limited batch delivery to large-scale production. Along the way, as the demand for the product grows, CFD is helpful i.e. in selecting a proper configuration for our stirred tanks when the batch size increases or can answer questions about how changes in ingredients will impact the overall quality of the product, production time, etc.
One of the challenges for such simulations is time to results. Historically, the simulations took many hours. Now even though we have much more powerful machines, the simulations are more complex, deliver more accurate results, and still… take hours! Therefore adding more cores or processor muscles is only a short-term solution. With AI, we can overcome this challenge and reduce time to results from hours to… minutes.
And still, keep the accuracy at a very high level.
With that being said, imagine how many more CFD simulations industries can now perform to test different options, configurations… all within one day, using less power, leveraging standard PCs (CFD Suite is cross-platform and does not require anything else than just a standard PC) and at a much-reduced overall cost. Visit the product website www.byteLAKE.com/en/CFDSuite and join our community: www.byteLAKE.com/en/AI4CFD-pt2 to stay up to date.
- CFD Suite (AI-accelerated CFD), product-related blog post series: www.byteLAKE.com/en/AI4CFD-toc
- Product website: www.byteLAKE.com/en/CFDSuite
About StartUs Insights
StartUs Insights is a worldwide operating data science company headquartered in Austria. We specialize in solving your discovery challenges by providing a high performant discovery platform covering over 1.379.000 startups & scaleups to enable you to identify relevant solutions and technologies quickly & exhaustively.