TeraTwin

TeraTwin is currently in beta and is focused on high-value enterprise, telecom, infrastructure, and defense users rather than broad consumer traffic. Today, the project reaches a targeted audience of approximately 50–150 relevant technical and business stakeholders per month through direct customer discussions, partner demos, investor briefings, and pilot engagement. These include wireless infrastructure teams, system integrators, enterprise private-network operators, defense primes, and industrial customers evaluating AI-driven wireless planning and optimization. While the current reach is targeted rather than mass-market, each user represents a high-value deployment environment where improved wireless performance, reduced field testing, and faster network planning can have significant operational and economic impact.

TeraTwin is designed for organizations that need to model, predict, optimize, and validate wireless networks in complex real-world environments. The primary users include: Enterprise and private 5G network operators Wireless system integrators Telecom equipment vendors Industrial customers operating networks in refineries, ports, airports, campuses, and factories Defense and aerospace organizations working on resilient communications, RF planning, and spectrum-aware operations AI-RAN and edge-AI teams that need realistic wireless datasets and simulation environments Notable customer and partner conversations include enterprise infrastructure, telecom, industrial, and defense stakeholders. Current engagement areas include airport and metro deployments, industrial wireless environments, defense-prime discussions, and paid pilot work with telecom/networking enterprise software provider.

Other, TeraTwin uses a custom technical stack combining wireless simulation, 3D environment modeling, ray tracing, machine learning, and network optimization. Relevant technologies include: Site-specific 3D environment modeling Wireless ray tracing and propagation modeling ML-based calibration using field or network measurement data RF metric prediction, including RSSI / RSRP-style coverage and signal-quality outputs 4G / 5G network modeling Antenna-pattern modeling and beam/codebook optimization Cloud-based simulation and visualization workflows Python-based modeling and data-processing tools Custom optimization and analytics pipelines Web-based interface for scenario setup, visualization, and results review For this hackathon, the project demonstrates how AI and simulation can be combined to help users understand and improve complex wireless deployments before costly field rollout.

Evidence of traction includes: Beta release of the TeraTwin wireless digital twin platform Paid pilot work with Polaris Wireless for deployment in Costa Rica. Active customer and partner discussions across telecom, enterprise, industrial, and defense markets Engagements involving airport, metro, and industrial wireless use cases - including deployment in Bangalore Internataimal Merment Defense-prime engagement around wireless digital twins, RF planning, and resilient communications Integration roadmap with TeraHaul, TeraSpatial’s high-capacity wireless transport platform Participation in the AI-RAN ecosystem, with TeraTwin positioned around AI/ML-driven wireless network optimization and realistic wireless dataset generation