We equip engineers to rapidly explore thousands of design options for the world’s most complex challenges — to refine to an optimal solution with precision and confidence.
We believe in moving fast, building with purpose, and empowering our customers in doing the same. We base our foundations on science, creativity, excellence, inclusivity, and mutual trust.
A history lesson
![Founding workshop at Sappee - Aug 21 (1)]()
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
![More workshops - Dec 21]()
September, 2021
With Alexandre’s expertise combined with our other co-founders’ Dr. Valtteri Lahtinen’s quantum expertise, Asser Lähdemäki’s cloud development skills, and Juha Riippi’s background in the software business, we knew we had the perfect combination of skills to create a new simulation service.
Indeed, everything was set to create a next-generation simulation platform that will truly take advantage of cloud scaling to speed up the solutions and make them more accurate.
In September 2021, Quanscient was founded by Dr. Alexandre Halbach, Dr. Valtteri Lahtinen, Asser Lähdemäki, and Juha Riippi, bringing together all the pieces needed to make this vision a reality.
![First layer of Allsolve]()
April, 2022
In March 2022, the first step was taken in building Quanscient Allsolve by initializing the simulation-app codebase.
By April 2022, we reached a major milestone, the first end-to-end simulation was run directly on the UI. We had built a version that could run a full simulation within the UI, though result visualization was still handled in Paraview.
Features included STEP file import, material and physics setup, mesh generation, simulation code generation, cloud computing, and the ability to download results to a local machine for viewing in Paraview.
This was just the beginning, but it was an important step toward making the platform more accessible for engineers.
Then within the six months, first version of Quanscient Allsolve launched.![Quanscient Personnel]()
2025 –>
The team has grown by more than 40 professionals since then.
Of course, this was just the beginning, as new releases of Quanscient Allsolve are rolling out while our quantum team is continuing to conduct spearhead quantum research.
.jpg?width=300&name=Founding%20workshop%20at%20Sappee%20-%20Aug%2021%20(1).jpg)
.jpg?width=300&name=More%20workshops%20-%20Dec%2021%20(1).jpg)
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
.jpg?width=300&name=history-placeholder%20(1).jpg)
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms.
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
December, 2017
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms
To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
A history lesson
Before Quanscient got started, we saw a glaring deficiency in the performance of simulation platforms.
In fact, our CTO, Dr. Alexandre Halbach, had already been solving this problem for eight years by developing a performant and modern set of algorithms. To share his work with the engineering community, Dr. Halbach published Sparselizard, an open-source C++ finite element library.
But an algorithm library, no matter how advanced, is not a product and therefore remains inaccessible for most due to the steep learning curve and purely code-based access.
With Alexandre’s expertise combined with our other co-founders’ Dr. Valtteri Lahtinen’s quantum expertise, Asser Lähdemäki’s cloud development skills, and Juha Riippi’s background in the software business, we knew we had the perfect combination of skills to create a new simulation service.
Indeed, everything was set to create a next-generation simulation platform that will truly take advantage of cloud scaling to speed up the solutions and make them more accurate.
In September 2021, Quanscient was founded by Dr. Alexandre Halbach, Dr. Valtteri Lahtinen, Asser Lähdemäki, and Juha Riippi, bringing together all the pieces needed to make this vision a reality.
In March 2022, the first step was taken in building Quanscient Allsolve by initializing the simulation-app codebase.
By April 2022, we reached a major milestone, the first end-to-end simulation was run directly on the UI. We had built a version that could run a full simulation within the UI, though result visualization was still handled in Paraview.
Features included STEP file import, material and physics setup, mesh generation, simulation code generation, cloud computing, and the ability to download results to a local machine for viewing in Paraview.
This was just the beginning, but it was an important step toward making the platform more accessible for engineers.
First version of the Quanscient Allsolve launched.
The team has grown by more than 40 professionals since then.
Of course, this was just the beginning, as new releases of Quanscient Allsolve are rolling out while our quantum team is continuing to conduct spearhead quantum research.
Quanscient Allsolve in a nutshell
- Ensure product reliability and minimize risk with more accurate and robust multiphysics simulations.
- Gain deeper insights into product behavior taking into account real-world conditions and manufacturing constraints.
- Make design decisions confidently with more simulation data to improve product quality and reduce costly errors.
- Accelerate design cycles and bring products to market faster with cloud-powered multiphysics simulations.
- Enable engineers to explore more design options and optimize product performance without being constrained by local resources.
- Scale your simulation resources up or down with no license or hardware restrictions.
- Use the Quanscient API to build and automate efficient proprietary design workflows.
Our core values
Our core values
Our founders
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CEO, Co-Founder
Juha has more than 16 years of experience in software development and digitalization businesses. During that time he has been working in international sales, programming and leadership roles.
CTO, Co-Founder
Alexandre is our CTO and simulation algorithms expert. He has developed our state-of-the-art multiphysics simulation algorithms and has years of hands-on R&D experience.
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Chief Product Officer, Co-Founder
Asser is a life-long software enthusiast with unchallenged intuition for software architecture. Previously, he has been working as an entrepreneur and as a researcher in a world-renowned Computational Electromagnetics group
Chief Scientist, Co-Founder
Valtteri is the head of our Quantum Labs. He is an experienced and internationally recognized research leader with 15 years of experience in the intersection of computational physics, mathematics, and quantum technologies.
UK Director, Co-Founder
With more than 20 years of experience, Dr. Tweedie has a passion for developing and leading cutting-edge technology in the engineering simulation space. He was the founder and CEO of Kogsys and co-founded OnScale, the first cloud engineering simulation platform.
Our founders
Juha has a long experience in software development and digitalization businesses. During that time he has been working in international sales, programming and leadership roles.
Alexandre is our CTO and simulation algorithms expert. He has developed our state-of-the-art multiphysics simulation algorithms and has years of hands-on R&D experience.
Asser is a life-long software enthusiast with unchallenged intuition for software architecture. Previously, he has been working as an entrepreneur and as a researcher in a world-renowned Computational Electromagnetics group.
Valtteri is the head of our Quantum Labs. He is an experienced and internationally recognized research leader with 15 years of experience in the intersection of computational physics, mathematics, and quantum technologies.
With more than 20 years of experience, Dr. Tweedie has a passion for developing and leading cutting-edge technology in the engineering simulation space. He was the founder and CEO of Kogsys and co-founded OnScale, the first cloud engineering simulation platform.
Operations team
Business team
Product team
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Quantum team
Application engineering team
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Solver team
- Product team
- Application team
- Solver team
- Quantum team
- Business
- Administration