HomeTrace.Space Secures Seed Funding to Boost AI-Driven Product Design
In the world of modern product engineering, creating super accurate digital simulations is a big deal. It lets engineers whip up prototypes and get a feel for how materials will perform in the real world. Usually, you'd see big names like IBM and Dassault with their legacy software doing the heavy lifting. But now, startups are stepping up their game, and they're using generative AI to shake things up.
Take Trace.Space, for instance, a fresh face from Riga, Latvia. This AI-powered platform is all about helping engineers craft industrial products. With Western manufacturing feeling the heat from its speedy Asian rivals, there's a mad dash to build these platforms and speed up product development. We've seen new players like Luminary and Dessia Technologies jump into the fray, both using AI to automate engineering processes.
Trace.Space zeroes in on the development of electric and autonomous vehicles, satellites, robots, semiconductors, and medical devices. While traditional solutions often stick to "on premise" setups, Trace.Space goes the modern route with cloud computing. It's also great for letting manufacturers and suppliers work together on shared product requirements, cutting down on response times.
Janis Vavere, the co-founder and CEO of Trace.Space, chatted with TechCrunch about it: “Every company out there building complex, regulated products in automotive, medical, aerospace, and more, is dealing with the headache of these products getting more and more complicated to design. The old tools and processes are just not cutting it anymore. IBM’s tools, which were designed back in the late '80s, are still around. They're a desktop client that you need to install on every computer.”
After working on Jama Software, a newer design platform, Vavere saw the need for something more advanced: “It’s the perfect time to mix modern software architectures and UIs with AI, and use them in these industries. Companies are hungry for something better right now.”
And Trace.Space isn't just slapping an AI label on things, Vavere explained: “We use AI models like Llama and some deterministic AI libraries, plus bits of OpenAI’s LLM.”
Before Trace.Space, Vavere was a sales leader at Jama Software and spent two years leading sales at Lokalise, a translation management software company. His co-founder Mikus Krams worked in operations at Lokalise and the software development startup Chili Piper. The third co-founder, Karlis Broders, had experience implementing Jama and Polarion in large-scale projects.
Trace.Space has just nabbed $4 million in seed funding, with Cherry Ventures leading the charge. They were joined by Riga-based Outlast Fund, and earlier investors Nebular, Fiedler, and Change Ventures.
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Comments (34)
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![WalterHarris]()
Interessant, wie Startups jetzt auch in die Simulationssoftware einsteigen. Die etablierten Anbieter wie Dassault haben ja oft so komplexe und teure Tools. Wenn Trace.Space das mit KI wirklich vereinfachen und günstiger machen kann, könnte das für viele kleinere Ingenieurbüros ein Gamechanger sein. Bin gespannt, ob sie ihr Versprechen halten können. 🧐
![WillieRodriguez]()
Trace.Space a l'air de vouloir bousculer les géants comme Dassault avec des simulations basées sur l'IA 😮. C'est super intéressant de voir une approche nouvelle dans un domaine traditionnellement dominé par des solutions très chères et complexes. J'espère que cela rendra ces outils de conception plus accessibles aux petites équipes !
![HarperJones]()
AI로 제품 디자인을 혁신한다는 발상은 정말 멋지네요! 🎨 하지만 스타트업이 IBM 같은 대기업들과 경쟁할 수 있을지 궁굼해요. 시드 펀딩은 좋은 시작이지만, 정말 혁신적인 기술이 필요할 것 같아요!
![SamuelAdams]()
Super cool to see Trace.Space pushing AI in product design! 🛠️ Digital simulations are game-changers, but I wonder if smaller players like them can really take on giants like IBM. Exciting times!
![RalphGarcia]()
Trace.Spaceの資金調達のニュースはエキサイティングですね！AIが製品設計を強化するために使われるのは素晴らしいです。デジタルシミュレーションはプロトタイプ作成に非常に役立ちそうです。次に何が出てくるのか楽しみです！🚀
![DavidCarter]()
Trace.Space's funding news is exciting! It's great to see AI being used to enhance product design. The digital simulations sound super helpful for prototyping. Can't wait to see what they come up with next! 🚀
In the world of modern product engineering, creating super accurate digital simulations is a big deal. It lets engineers whip up prototypes and get a feel for how materials will perform in the real world. Usually, you'd see big names like IBM and Dassault with their legacy software doing the heavy lifting. But now, startups are stepping up their game, and they're using generative AI to shake things up.
Take Trace.Space, for instance, a fresh face from Riga, Latvia. This AI-powered platform is all about helping engineers craft industrial products. With Western manufacturing feeling the heat from its speedy Asian rivals, there's a mad dash to build these platforms and speed up product development. We've seen new players like Luminary and Dessia Technologies jump into the fray, both using AI to automate engineering processes.
Trace.Space zeroes in on the development of electric and autonomous vehicles, satellites, robots, semiconductors, and medical devices. While traditional solutions often stick to "on premise" setups, Trace.Space goes the modern route with cloud computing. It's also great for letting manufacturers and suppliers work together on shared product requirements, cutting down on response times.
Janis Vavere, the co-founder and CEO of Trace.Space, chatted with TechCrunch about it: “Every company out there building complex, regulated products in automotive, medical, aerospace, and more, is dealing with the headache of these products getting more and more complicated to design. The old tools and processes are just not cutting it anymore. IBM’s tools, which were designed back in the late '80s, are still around. They're a desktop client that you need to install on every computer.”
After working on Jama Software, a newer design platform, Vavere saw the need for something more advanced: “It’s the perfect time to mix modern software architectures and UIs with AI, and use them in these industries. Companies are hungry for something better right now.”
And Trace.Space isn't just slapping an AI label on things, Vavere explained: “We use AI models like Llama and some deterministic AI libraries, plus bits of OpenAI’s LLM.”
Before Trace.Space, Vavere was a sales leader at Jama Software and spent two years leading sales at Lokalise, a translation management software company. His co-founder Mikus Krams worked in operations at Lokalise and the software development startup Chili Piper. The third co-founder, Karlis Broders, had experience implementing Jama and Polarion in large-scale projects.
Trace.Space has just nabbed $4 million in seed funding, with Cherry Ventures leading the charge. They were joined by Riga-based Outlast Fund, and earlier investors Nebular, Fiedler, and Change Ventures.
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Interessant, wie Startups jetzt auch in die Simulationssoftware einsteigen. Die etablierten Anbieter wie Dassault haben ja oft so komplexe und teure Tools. Wenn Trace.Space das mit KI wirklich vereinfachen und günstiger machen kann, könnte das für viele kleinere Ingenieurbüros ein Gamechanger sein. Bin gespannt, ob sie ihr Versprechen halten können. 🧐
Trace.Space a l'air de vouloir bousculer les géants comme Dassault avec des simulations basées sur l'IA 😮. C'est super intéressant de voir une approche nouvelle dans un domaine traditionnellement dominé par des solutions très chères et complexes. J'espère que cela rendra ces outils de conception plus accessibles aux petites équipes !
AI로 제품 디자인을 혁신한다는 발상은 정말 멋지네요! 🎨 하지만 스타트업이 IBM 같은 대기업들과 경쟁할 수 있을지 궁굼해요. 시드 펀딩은 좋은 시작이지만, 정말 혁신적인 기술이 필요할 것 같아요!
Super cool to see Trace.Space pushing AI in product design! 🛠️ Digital simulations are game-changers, but I wonder if smaller players like them can really take on giants like IBM. Exciting times!
Trace.Spaceの資金調達のニュースはエキサイティングですね！AIが製品設計を強化するために使われるのは素晴らしいです。デジタルシミュレーションはプロトタイプ作成に非常に役立ちそうです。次に何が出てくるのか楽しみです！🚀
Trace.Space's funding news is exciting! It's great to see AI being used to enhance product design. The digital simulations sound super helpful for prototyping. Can't wait to see what they come up with next! 🚀
