The Operational Reality
Conventional sensing often fails when conditions are hard. Visibility drops, maintenance costs grow, and performance degrades in fog, darkness, noise, and complex environments.
Where RF Becomes Intelligence
Dual-use RF systems that stay reliable in real environments, from autonomous anti-drone protection to battery-free sensing platforms.
Why RFisense
RFisense is a dual-use startup that builds deployable RF sensing systems for defense, critical infrastructure, and industrial operations. We design the full stack in-house, from RF hardware and embedded systems to real-time signal processing and AI.
What We Build
- RF-Sentinel: Portable AI system for drone detection and response.
- Passive RF Platform: Battery-free wireless sensing for scalable monitoring.
- Dual-use roadmap: Products designed for both civilian and defense needs.
Why It Matters
- Reliable detection and sensing in day, night, and adverse environments.
- Portable and scalable systems built for real deployment constraints.
- Battery-free sensing approach for ultra-low maintenance operations.
- Strong technical advantage built on RF, signal processing, and AI.
Our Prototypes
Fully integrated and validated prototypes, tested in real-world environments.
TRL 5 to 6
RF-Sentinel: Portable AI System for Drone Protection
RF-Sentinel is a portable and autonomous multi-sensor shield for drone detection, classification, and response. It combines radar, passive RF sensing, and AI fusion, and includes non-kinetic countermeasure pathways for safer threat mitigation.
- Multi-Sensor Fusion: Active radar plus passive RF for robust threat coverage.
- AI Classification: Real-time analysis of drone signatures and behavior patterns.
- Non-Kinetic Response: Built for safe mitigation concepts beyond purely kinetic action.
- Portable: Lightweight architecture for rapid site-level deployment.
- Use Cases: Airports, borders, prisons, utilities, defense and critical infrastructure.
TRL 5 to 6
Passive Platform for Versatile Wireless Sensing
Battery-free passive RF sensing platforms for wireless data acquisition without maintenance constraints. Built to scale sensing operations across distributed environments.
- Battery-free: Designed for ultra-low maintenance deployments.
- Wireless Sensorization: Enables remote data collection without wired infrastructure.
- Versatile Integration: Supports multi-domain sensing scenarios.
- Target Markets: Industrial IoT, smart agriculture, healthcare, and space-related applications.
Built by Researchers.
Not the Obvious Ones.
We build real systems, not just concepts. Combining deep research with hands-on engineering to deliver deployable RF technologies.
Co founder | AI & Radar Signal Processing
Daniel Escadas
Electronics Engineer specialized in RF design, radar signal processing, and AI-enabled sensing. Works across product architecture, hardware-software integration, and field validation for deployable dual-use systems.
Co founder | RF Hardware & Wireless Power Transfer
Gonçalo Martins
Electronics Engineer specialized in RF hardware, antennas, embedded systems, and wireless power transfer. Works across system design, integration, and validation to deliver robust products from concept to deployment.
Validation & Recognition
Our work is validated by public results, independent awards, and international visibility.
Team Achievement
EUDIS Defence Hackathon Winner 2026, RF-Sentinel
RF-Sentinel won the Portuguese edition of the EUDIS Defence Hackathon. The platform combines radar, RF sensors, and AI to detect, classify, and respond to aerial threats.
Individual Distinction
Daniel Escadas, URSI Best Research Project Award 2025
Awarded at the 19th URSI Portugal Congress, with public recognition from ANACOM and institutional channels.
Individual Distinction
Gonçalo Martins, Fraunhofer Master Thesis Award 2025
Recognized for outstanding academic and applied engineering work in advanced electronics and RF systems.
Startup Distinction
Empreende+ 2026 Award, University of Aveiro
RFisense received the Empreende+ 2026 distinction, reinforcing our progress from academic excellence to market-oriented innovation.
Collaborative Achievement
1st Place, NATO STO Hackathon 2025
Daniel Escadas participated in the winning team for AI-based drone detection and classification, reinforcing RFisense capability in mission-driven defense scenarios.
TRACTION & INVESTMENT
Partner With Us
We have integrated prototypes validated outside the lab and recognition from EUDIS, URSI, Fraunhofer, and NATO STO contexts.
We are currently seeking strategic partners and pre seed investment to scale pilots and accelerate market entry.
If you're exploring pilot projects, collaborations, or early deployments, we'd be happy to connect.