Accelerating product design with AI, trace.space raises seed ncvrs.com

Modern product development requires the production of extremely accurate digital simulations, allowing engineers to create prototypes and understand the real performance of the materials. Currently, IBM and Dassault, such as IBM and Dassault Legacy software platforms are generally installed, but now start -up companies are joining the arena, which is fed by Generative AI.

One of these Trace.spaceThey come out of Riga, Latvia. This AI-controlled platform is designed for engineers to develop industrial products.

As Western production is currently under great pressure to compete with its fast -paced Asian counterparts, competition is aimed at developing these platforms to accelerate product development. In fact, we have recently seen the luminar appearance as well as Dessia technologieswhich has a platform to automate engineering processes via AI.

Trace.Space is particularly designed for the development of electrical and autonomous vehicles, satellites, robots, semiconductors and medical equipment. Traditional solutions are usually based on “assumption”, while Trace.Space uses a modern cloud -based computer approach. This allows manufacturers and suppliers to work together in shared product requirements, thereby reducing the response times.

Janis Vavere, co-founder and CEO of Trace.Space, told Techcrunch: “All companies in the world build complex regulated products in the automotive industry, medical, space flight and so on, face the question that these products are getting they become more complex. , especially for design. Old tools and processes are struggling. IBM tools were designed in the late 1980s. This is a desktop client and should be installed on each computer. ”

After working Jama softwareA more modern design platform has realized that there is a need for a cloud-based, AI-controlled approach: “Now the right moment is to combine modern software architectures and UIs with AI and apply them to these industries. Companies are now looking for something better. ”

Trace.space is not merely a “AI Wrapper” and added: “We use AI models such as a llama, then some deterministic AI libraries and Openai LLM.”

In addition to JAMA software, where Vavere was previously a sales manager, he spent two years on the Lokalise Translation Management software dress. Meanwhile, the co -founder of Mikus Krams has previously worked on Lokalise and Software Development Startup Chili Piper. The third co-founder, Karlis Broders, formerly JAMA and Polarion in large-scale projects.

Trace.Space has now raised $ 4 million in financing of seed. Cherry businesses led the round with the Riga-based connection OverloadTogether with former investors, Nebular, Fiedler and Change Ventures.