R&D for Substrate-Aware Networks, DePIN, & NTN Connectivity
34°
Formula 34° is the applied R&D subsidiary of T.A. Resendez Inc. Our work sits at the boundary between centralized and decentralized network substrates — Web 2 meets Web 3 meets Web 4 — with a focus on how (DePIN),(NTN), and AI-driven network operations integrate into operational reality.
Site Content
Operational Test Site
Our research is grounded in live infrastructure, not theory. Our Texas-based research site currently runs:
- GEODNET — Operational triple-band GNSS reference station feeding live 1.5 Hz positioning data into the Substrate Sentinel digital twin.
- Starlink — Active LEO non-terrestrial network backbone.
- Rovr Networks Lightcone — 3D LiDAR spatial scanner operational on site, UE integration in progress.
- Wingbits & WeatherXM — UE integration built and ready in the digital twin; physical hardware deployment in progress
Substrate Sentinel
Substrate Sentinel is our flagship research platform — a bi-directional, sub-second latency digital twin that fuses live DePIN telemetry with high-fidelity simulation in Unreal Engine 5.7. Built with developer access through the NVIDIA 6G Developer Program, integrating Anchored Decentralized Identifiers, multi-protocol DePIN data, IBM Watsonx for predictive caching, and an Off-Road Software-Defined Vehicle ("Substrate Probe") for field network verification.
Connect to Formula 34° Work
Connect to Formula 34° Work
Domain-specific Knowledge Graph Construction (KGC) is one of the core data techniques behind our substrate-aware approach. KGC creates structured graphs of entities and relationships from operational data — exactly the kind of structure required to make a complex multi-protocol DePIN environment explainable, auditable, and AI-ready.
Within Substrate Sentinel, knowledge-graph-style relationships connect physical infrastructure nodes (GNSS stations, ADS-B receivers, SDV positions) to the cryptographic identity layer (Anchored DIDs) and to the governance layer (Substrate framework). This is what enables the platform to function as a predictive governance layer for edge networks rather than a passive monitoring dashboard.
