About BeephoniX
defensie, drones, ai beamforming algoritmes, layered cuas, passive acoustic detection, classification, tracking, medical equipment manufacturing, 3d sound localization, beamforming, ai sound analysis, acoustic system, clinical collaboration, speech enhancement, acoustic detection, maritime security, bio-inspired microphone, drone detection, sound localization, signal processing
BeephoniX's Tech Stack
Frontend
Design
Backend
Other
Social
Decision Makers at BeephoniX
1 contactPatrick Wijnings
CTO
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BeephoniX's Position in the StackWho Database
- • BeephoniX is 1 of 6,450 medical devices companies tracked in StackWho.
- • 6,404 medical devices companies in our database have verified decision-maker emails (99% of the cohort).
- • 830 companies in Gelderland are in the StackWho database.
- • 2,075 medical devices companies are in the 1-10 employee range (same size as BeephoniX).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.
Frequently Asked Questions
What technology does BeephoniX use?
BeephoniX uses Mobile Friendly, Shutterstock, Nginx, WordPress.org, YouTube, Google Font API. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at BeephoniX?
StackWho has verified email addresses for 1 decision maker at BeephoniX. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach BeephoniX directly for sales, recruiting, or partnerships.
What industry is BeephoniX in?
BeephoniX operates in the medical devices industry, headquartered in Nijmegen, Gelderland, Netherlands. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export BeephoniX's contact data?
Yes. StackWho Pro members can export decision maker contact data for BeephoniX and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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