Balthazar, an AI-driven platform, has raised €1.8 million (US$2.1 million) in total funding, including €1.2 million (US$1.4 million) in its latest round led by CapitalT, with participation from Antler.

The funds will support product development, AI enhancements, and team expansion.

The AI-powered platform streamlines deep tech research and development (R&D) with a real-time workspace that manages experiments via browser.

It connects lab instruments and compiles prototype data to boost collaboration and efficiency in research labs.

Founder Dejan Davidovikj highlighted how Balthazar improves decision-making through modern lab tools.

The platform targets inefficiencies in the €250 billion (US$294.7 billion) R&D sector, tackling challenges in areas like semiconductors and energy.

🔗 Source: Balthazar

🧠 Food for thought

1️⃣ The costly inefficiency gap in deep tech R&D has created market opportunity

Deep tech R&D inefficiency represents a significant economic opportunity, explaining why investors are backing Balthazar’s approach to streamlining research workflows.

European deep tech has grown significantly, increasing from 10% to 19% of global deep tech investment between 2019-2023, and now accounts for approximately 44% of all tech investments in Europe 1.

These investments have consistently outperformed traditional tech sectors, with deep tech delivering a net annual average internal rate of return of 16% compared to just 10% for traditional tech 1.

Despite this growth, 84% of companies still lack a clear strategy for implementing AI in their R&D processes, highlighting the untapped potential that Balthazar is addressing 2.

The platform’s focus on creating a centralized, intelligent workspace directly tackles the fragmentation that has historically limited R&D efficiency in hardware development.

2️⃣ AI-enhanced R&D tools deliver quantifiable productivity improvements

Balthazar’s AI-enabled approach aligns with documented efficiency gains across research-intensive industries.