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iDvera Software

iDvera utilizes sensor fusion and machine learning algorithms to verify user locations independently of traditional satellite systems, ensuring accurate positioning even in environments where GPS is unreliable. This technology addresses vulnerabilities in existing PNT systems, providing enhanced security and precision for critical applications in sectors such as defense, logistics, and remote work.

Traction 3/10
Port Orange, United States · HQ
Founded 2022510+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Cybersecurity
  • Enterprise Software
  • Logistics & Supply Chain
  • Software Only
Updated 4 days ago

Funding

Funding not disclosed

across 1 round

M

Founders

3 founders

Joost Stenfert

Co-founder

Den Haag, Nederland

  • TU Delft

MS in Hydraulic Engineering at Delft University of Technology

Marnix Paanakker

Co-founder, Commercial lead

Amsterdam, Nederland

  • TU Delft

MS in Sustainable Energy Technology at Delft University of Technology

Ties van der Heijden

Co-founder, Technical lead

Rotterdam, Nederland

  • TU Delft

PhD in Energy flexibility at TU Delft

Product

Problem

Current positioning, navigation, and timing (PNT) systems rely heavily on satellite signals like GPS, which are vulnerable to jamming, spoofing, and signal degradation, especially in urban canyons or indoor environments. This unreliability poses risks for applications requiring precise location verification, such as logistics, remote work, and financial transactions.

Solution

iDvera offers a PNT solution that verifies user locations independently of traditional satellite systems by leveraging sensor fusion and machine learning algorithms. The technology combines data from ambient factors and device sensors to determine a user's position, even when GPS signals are unreliable or unavailable. This multi-layered approach enhances security and precision for critical applications, providing accurate location authentication that is resistant to hacking, spoofing, and jamming attacks, as well as VPN manipulation. The system stores position points in a virtual map, which, over time, will enable a new non-satellite PNT solution.

Target Audience

iDvera's primary customers are companies in the financial, gig economy, logistics, remote work, video on demand, and social media sectors that require reliable and secure location verification.

Features

  • Sensor fusion algorithm that determines location independently of GPS
  • Multi-layered authentication process incorporating ambient data for enhanced security
  • Machine learning that continuously improves accuracy with each location verification
  • API service with cloud scalability for optimized performance and cost-efficiency
  • Redundancy through augmented reality to ensure location authentication in challenging scenarios
  • VPN detection to accurately pinpoint a user's position even when they attempt to manipulate their location
  • Privacy-first design that maintains data usability while reducing the risk of identifying individuals; no PII is stored
This profile is AI-generated and may contain inaccuracies.