Startup profile · funding coverage
ARX Robotics funding, valuation and investors
European modular unmanned ground vehicles and robotics software.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
€31M · 2025
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
Not publicly disclosed
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · Germany
Investors in latest funding
Lead: HV Capital
Other: Omnes Capital
Overview
German ARX Robotics builds modular unmanned ground systems for military and adjacent missions. Its investor page confirms a €9M seed round in 2024, €31M Series A in 2025 and separate €11M Series A extension in 2025. The €42M number describes combined Series A tranches, not one additional round.
Why ARX Robotics is interesting
Its disclosed 2024 seed and 2025 two-stage Series A illustrate early-stage defence capital beyond the headline billion-dollar rounds.
Product & use cases
Modular unmanned ground vehicles, systems integration and robotic autonomy.
- Robotic logistics and surveillance
- Deploying unmanned ground vehicles in hazardous environments
Key facts
- 2024: €9M seed led by NATO Innovation Fund, Discovery and Project A.
- 2025: €31M Series A led by HV Capital, then €11M extension led by Speedinvest.
- The company's €42M total Series A includes its two tranches and should not be counted again.
Funding history (newest first)
Series A
2025 €31M- HV Capital (lead)
- Omnes Capital (participant)
Source: Read source · arx-robotics.com
Seed
2024 €9M- NATO Innovation Fund (lead)
- Discovery Ventures (lead)
- Project A (lead)
Source: Read source · arx-robotics.com
Competitive landscape
Edge: Interoperable modular robotic platforms; customer deployments and unit economics must be verified.
Industries
Market / IPO context
Editorial / static context — not a live quote.
Last updated:
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.