Amsterdam-based Balthazar, an AI-enabled platform innovating how DeepTech labs run research and development, announced today a €1.2 million pre-Seed funding round – resulting in a total of €1.8 million.
The round was led by CapitalT, with participation from the global early-stage VC Antler. The total includes earlier support from Antler and a mix of Dutch innovation funders. The funding will support product development, the advancement of AI capabilities, and team growth.
“DeepTech labs are pushing the limits of science and engineering – yet still rely on tools never meant for today’s complexity,” says Dejan Davidovikj, Founder and CEO of Balthazar. “Teams run incredibly complex experiments with no shared source of truth and no system to manage the process. Balthazar gives them structure, automation, and visibility – so they can move faster and make better decisions, backed by data.”
Founded in 2024, Balthazar’s AI-enabled platform helps researchers run, monitor, and manage experiments in real time – directly from the browser.
Balthazar has reportedly powered over 6,000 experiments and is trusted by partners ranging from universities like TU Delft to companies in advanced semiconductors, quantum technologies and energy storage.
Balthazar claims to address a critical gap in DeepTech R&D. Despite over €250 billion spent annually to develop the next generation of hardware – from semiconductors and photonics to energy storage and carbon capture – device development still relies on fragmented systems and manual coordination (according to data provided by Balthazar).
Balthazar introduces a new category of solutions: a real-time, intelligent workspace that integrates every step of the R&D workflow.
“Balthazar solves a foundational challenge for DeepTech teams: turning research chaos into coordinated progress,” says Eva de Mol, Founding Partner at CapitalT. “The team deeply understands the day-to-day problems of modern R&D labs and builds exactly the kind of infrastructure needed to enable faster and more reproducible technological breakthroughs. We’re thrilled to support them from the beginning.”
R&D engineers can run and monitor experiments directly from their browsers and track the entire process: from design and fabrication to measurement and analysis. The platform connects to local workstations and lab instruments, organising all prototype data in one place.
Users can leverage and extend their existing code base and integrate it into their workflows. Built on modern web technologies and a scalable cloud architecture, it reportedly enables faster iteration, seamless collaboration, and reproducible results at scale.
