It aims to speed up the product design using artificial intelligence, track. Space raises a seed tour

Modern product engineering requires the production of very accurate digital simulations, allowing engineers to create initial models and understand the real performance of materials. Currently, old software platforms work from companies such as IBM and Dassault in general, but now supported by artificial intelligence, startups join the arena.

One like this TraceExit from Riga, Latvia. This AI’s platform is designed for engineers to develop industrial products.

With a western manufacturing currently under tremendous pressure to compete against its rapid Asian counterparts, the race is running to develop these platforms to accelerate the development of the product. In fact, we recently seen an appearance luminaryBesides Dessia Technologies,, Which also has a platform for automating engineering processes through artificial intelligence.

Trace.space, in particular, is designed for the process of developing electric and independent vehicles, satellites, robots, semi -conductors, and medical devices. Traditional solutions tend to depend on the “hypothesis”, while trace.space takes the approach of modern cloud computing. Manufacturers and suppliers can also be allowed to cooperate in the common product requirements, thus reducing response times.

“Every company in the world adopts complex products organized in cars, medical, space, etc., facing the issue that has become more complicated and more, especially for design. Old tools and operations Struggle. IBM tools are designed in the late eighties.

After working on Jama programA more modern design platform for this, I realize the need for a cloud -based approach, which relies on artificial intelligence: “It is now the right moment to combine modern software structures and UIS with artificial intelligence, and their application to these industries. Companies are looking for something better now.”

Trace.space is not just “Amnesty International Cover”, and added: “We use artificial intelligence models such as Llama and then some of the inevitable artificial intelligence libraries, as well as Openai’s LLM aspects.”

In addition to Jama Software, where Vavere was previously a sales commander, spent two years in the sales leadership in the Lokalise Translation Management Group. Meanwhile, co -founder Mikos Karmes previously worked in operations at Lokalise and Startup Development Startup Chili Piper. The founder of a third participant, Carles Proders, implemented Jama and Polarion on large -scale projects.

Trace.space now raised $ 4 million of seed financing. Cherry Ventures He led the tour, joined Riga Box to lastAlong with the former ridicule investors, Fidler, and project change.