Location Validation

GPS coordinates can be spoofed. The technology can be imprecise. Organizations that require reliable location information can no longer depend on GPS alone to provide trusted validation. SignalFrame addresses these location validation issues by analyzing billions of wireless signals. We provide dependable location information that is far less susceptible to spoofing or inaccurate readings.

IoT Intelligence

The Internet of Things (IoT) revolution has resulted in billions of new wireless devices entering our world. It is enabling new capabilities in smart cities, new ways to serve retail customers, and better ways for “things” to extend their value. Analyzing IoT signals enables us to discover important relationships, trends, and behaviors without compromising the privacy or security of individuals.

Security & Logistics

Contemporary wireless technology now facilitates easy and inexpensive asset tracking - both consumer and industrial - on a global basis. Our asset tracking offers significant value. Know where assets are at any time (beyond basic GPS), and enable new levels of safety and security. SignalFrame’s proprietary SignalGraph “sees” far more connected devices than virtually any other offering.

SignalGraph™ Technology

Graph Architecture Meets Streaming Technology

The world of signals is characterized by massive scale, complex inter-relationships, and rapid change. SignalFrame has developed a sophisticated platform to create and update graphs from streaming data. The platform delivers powerful analytics over community clusters — and does so within temporal constraints.

Our engineering team uses many open-source projects such as Kubernetes, Cassandra, Kafka, and ZooKeeper. Inspired by other open-source projects, we have built our clustering, streaming, and indexing services in Go.


The SignalGraph grows out of crowdsourced observations of the ambient signal environment that reveal the presence and proximity of wifi, bluetooth and BLE devices in the environment. Our network of more than 5mm global devices observes 500mm distinct signals per month.

SignalGraph is self-organizing, constructing relationships from the bottom up, and adapting to changes. Signal observations are combined with our semantic resolution engine to bring real world meaning to signals and clusters of signals. Streaming integration delivers low-latency access to the full graph, powering real-time proximity services and always-on push analytics.

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