# Xandem

**Type:** venture
**Status:** Draft
**Confidence:** Low
**Focus:** RF tomographic sensing, through-wall motion detection, ISR, search and rescue, home security
**Stage:** Commercial (consumer pivot underway as of 2024)
**Location:** Salt Lake City, UT (University of Utah ECE spinout)
**Updated:** 2026-06-19
**Needs-reviewed:** 2026-06-19
**Pull:** *A mesh of wireless nodes that detects human motion through walls — serious physics, unclear trajectory.*

## Summary

Xandem is a Salt Lake City company developing RF tomographic sensing: a mesh of small wireless transceivers that measure how people disrupt radio waves between nodes to detect presence and motion through walls without active radar or cameras. Founded from University of Utah electrical and computer engineering research (Joey Wilson, Neal Patwari), it has been bootstrapped with modest NSF SBIR funding and a small angel investment from Ryan Smith.

For the Great Work Utah wiki, Xandem is a U of U spinout with genuine underlying technology and past DHS/NSF interest — but as of 2024 it was pivoting toward consumer home security (Xandem Home, Indiegogo), which weakens the defense and ISR story the legacy entry emphasized.

## Impact

Through-wall sensing without cameras has significant intelligence, surveillance, reconnaissance, and search-and-rescue applications. Knowing whether a building is occupied before entry is a life-safety problem for law enforcement and military operators. If RF tomographic imaging works at operational reliability, it is a genuinely useful defensive and rescue tool.

The impact case is conditional. Government grants signal interest, but the company has not demonstrated military-grade reliability, and the consumer pivot suggests the team may be chasing a nearer-term market rather than mil-spec deployment.

## What They Are Building

Xandem's core concept is a fixed mesh of RF nodes that perform tomographic imaging of indoor motion — distinguishing human presence from environmental multipath is the hard signal-processing problem. The academic pedigree (Patwari's U of U research on RF tomographic imaging) is real.

Publicly, the company has also pursued Xandem Home, a consumer security product funded via Indiegogo. That product direction sits awkwardly beside the serious ISR use case.

## What They Need Now

If the defense path revives, likely needs include RF and signal-processing engineers, embedded systems engineers, mesh-network specialists, and government business-development people who can navigate DHS and DoD procurement. A bootstrapped capital structure limits how much R&D the company can sustain without a strategic partner or contract.

For talent matching, Xandem fits researchers and engineers who want to work on hard sensing physics — but candidates should treat the consumer pivot as a signal about near-term priorities.

## Who Could Help

Useful helpers include DHS and DoD SBIR advisors, academic collaborators in RF sensing (Neal Patwari's U of U group is the natural reference), search-and-rescue and law-enforcement end users who can define operational requirements, and strategic investors if the company returns to defense-scale R&D.

## Utah Context

Xandem is a University of Utah ECE spinout in Salt Lake City, part of the state's RF, sensing, and defense-research cluster alongside companies like [Fortem Technologies](fortem-technologies.md) and [IMSAR](imsar.md). The U of U connection is the strongest Utah anchor; commercial traction in the state is limited compared with larger defense hardware employers.

## Evidence

- [Xandem official website](https://www.xandem.com)
- Neal Patwari (U of U ECE) — academic research on RF tomographic imaging
- Legacy tier note (converted): serious underlying technology, unclear trajectory — no independent source pages captured yet

## Open Questions

- Has the consumer home-security pivot replaced or supplemented the defense/ISR product line?
- What is current funding, headcount, and revenue status after the Indiegogo campaign?
- Can the technology reach operational reliability for tactical deployment given fixed node placement constraints?
- Well-funded through-wall RF competitors exist; capture primary sources before treating government-scale adoption as likely.