yasp, the deep tech startup developing the Agentic AI Compiler, announced the successful closing of its seed funding round led by Capnamic. The $5 million investment will bring the development one step closer to market launch, which is scheduled for the end of 2025. With this technology, the company presents a smart, hardware-agnostic solution for significantly accelerating AI training and inference.

Global investment in AI is projected to reach $1.8 trillion by 2030, presenting enterprises with increasing challenges in scaling AI development. Today, more than 60 percent of corporate AI budgets are allocated to software and infrastructure. As models grow more sophisticated, future development is expected to require even greater financial investment. In addition, developers face the persistent issue of vendor lock-in, limiting long-term innovation strategies. Consequently, efficiency and flexibility have become critical challenges for organizations striving to stay competitive, driving urgent demand for new solutions that accelerate AI innovation while controlling costs.

AI-driven low-level optimization and code generation

yasp addresses these challenges with their Agentic AI Compiler: a breakthrough technology designed to accelerate AI model training and inference, improve performance, and reduce time-to-market. Seamlessly integrating with widely used frameworks like PyTorch, yasp’s technology transforms the way developers build and deploy AI models by making advanced hardware optimization as simple as adding a few lines of code.

With a single API call, engineers unlock hardware-specific compilation and optimization of AI models – with a significant difference to traditional runtime compilation: yasp generates custom kernels tailored to the target hardware, and scales seamlessly from individual kernels to entire models. The backend optimizer intelligently optimizes the model by understanding the model, the target hardware resources and user requests to  reduce overhead. This results in lean, hardware-aware executables for both training and inference.

Efficiently scaling AI training and deployment

“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.

Early tests of yasp’s Agentic AI Compiler have already demonstrated significant performance improvements across diverse training and inference workloads, all achieved without any compromise in model performance or accuracy. “Our approach is fundamentally different: instead of requiring developers to rewrite their complex models. With one API call, yasp rewrites and optimizes a model’s training and inference layers for the user’s target hardware,” explains Reza Rahimi, CTO of yasp.

Capnamic invests as market launch approaches

The seed funding round was led by Capnamic, early backers of tech innovators like Staffbase and LeanIX. Joining them was Start-up BW Innovation Fonds & MBG BW, a driving force in supporting Germany’s fastest-growing tech startups, alongside several experienced business angels. Together, the investors raised a total of $5 million to fuel yasp’s next growth phase.

With recently opened offices in Munich and Montreal, yasp will use the fund to accelerate product development, expand support for additional hardware platforms, and deepen integrations with popular AI development tools. Planning to launch the Agentic AI Compiler at the end of the year, the company is committed to helping developers and enterprises unlock new possibilities in AI innovation while controlling costs.

“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.

“yasp’s technology is a game changer for enterprises looking to harness the full potential of their AI investments. By making advanced hardware optimization accessible and seamless, yasp is removing critical barriers in AI adoption and innovation. We are proud to support their mission and look forward to seeing their impact across industries,” conclude Cornelius Baral and Sven Schatz from Start-up BW Innovation Fonds & MBG BW.

About yasp

The deep tech startup yasp has one mission: bridging the gap between hardware and AI. By automatically tailoring AI models to the specific hardware, their Agentic AI Compiler turns any standard training loop into a hardware-aware, high-performance pipeline. With a single API call, developers significantly accelerate AI training, deployment and inference, without the complexity of manual tuning or hardware lock-in. Driven by a global team based in Germany and Canada, yasp brings together diverse expertise to advance AI optimization worldwide.

Press contact

Contegy 

Brigitte Streibich 

press@contegy.de 

+49 151 20509717