German DeepTech Startup Yasp Secures €4.2M Funding

The round was led by Capnamic, with participation from Start-up BW Innovation Fonds, MBG BW, and several seasoned business angels.

“We are building a product to directly address a critical and growing bottleneck in AI development: the time-consuming process of model training and deployment. Our vision is to empower developers and enterprises to achieve faster results, without sacrificing flexibility or accuracy,” says Stefan Krassin, Co-founder and CEO of yasp.

Global AI investment is expected to reach $1.8 trillion by 2030. Already, over 60% of company AI budgets go to software and infrastructure, and costs will keep rising as models become more advanced.

At the same time, vendor lock-in makes it harder for developers to innovate. This is why businesses now urgently need solutions that improve efficiency, add flexibility, and cut costs while scaling AI.

Founded in 2023, yasp is tackling AI scaling challenges with its Agentic AI Compiler a tool that speeds up model training and inference, boosts performance and shortens time-to-market. It works seamlessly with frameworks like PyTorch, making advanced hardware optimization as easy as adding a few lines of code.

With just one API call, developers can compile and optimize models for specific hardware. Unlike traditional runtime compilation, yasp creates custom kernels tailored to the hardware, scaling from single kernels to full models.

The company’s Seed round highlights rising investor interest in European DeepTech startups working at the intersection of hardware and AI. While other 2025 raises have focused on chip cooling (Corintis, €20M), photonic AI chips (Arago, €22.1M), and rail autonomy stacks (Futurail, €7.5M), yasp’s funding shows growing attention on infrastructure layers like model compilation and runtime optimization.

For Germany, the link with Futurail signals that local DeepTech capital is active, potentially giving yasp an edge through proximity and investor networks.

“Our approach is fundamentally different: instead of requiring developers to rewrite their complex models. With one API call, yasp rewrites and optimises a model’s training and inference layers for the user’s target hardware,” explains Reza Rahimi, CTO of yasp.

With new offices in Munich and Montreal, yasp will use the funding to speed up product development, support more hardware platforms, and strengthen integrations with popular AI tools.

The company plans to launch the Agentic AI Compiler by year-end, aiming to help developers and enterprises drive AI innovation while keeping costs under control.

“yasp is redefining what is possible in AI development by bridging the gap between software innovation and hardware performance. Their Agentic AI Compiler empowers engineers to achieve unprecedented speed and efficiency, while maintaining flexibility and avoiding vendor lock-in. We are excited to support yasp as they unlock new levels of productivity and scalability for the entire AI ecosystem,” says Christian Siegele, Managing Partner at Capnamic.

About yasp

yasp’s Agentic AI Compiler accelerates AI model training and deployment on any hardware. By automatically optimizing models for cloud and edge, it reduces infrastructure friction, lowers costs, speeds development and empowers teams to focus on creating high-quality, innovative AI solutions.