There is no lightweight, affordable way to get
accurate, multi-node spatial data
in real time.
Surveying equipment
is accurate but
bulky, expensive, and single-purpose.
GPS/RTK
works outdoors but
fails indoors and underground.
Consumer sensors (phones, IMUs)
are
cheap but unreliable, with drift and noise.
Full body trackers (VR)
These work but are constrained to a small area and
do not work in the dark
No current solution
bridges the gap between a
simple tool
and a
large-scale, networked system.
Two pucks create a
single vector
: precise relative distance and slope.
Sensor fusion of
UWB + IMU + barometer
via Kalman filter.
Establishes the foundation:
lightweight, accurate, affordable baseline measurement.
Same puck hardware, but upgraded with
onboard memory + ML training.
System learns to
refine sensor fusion
, improving accuracy and reducing drift.
Multiple vectors can now be
combined into a coherent mesh
.
Core value: transforms from a pair of smart sensors into a
portable mapping system
.
Mesh concept scaled up
to many cooperating pucks.
Produces
real-time, multi-node position + orientation data
.
Supports
swarm robotics, infrastructure monitoring, collaborative AR/VR
.
Core value: a
self-improving, distributed spatial network
.
Applications & Industries
The Niavra product line will aim to help many industries:
Phase 1 – Niavra: Vector
Civil Engineering & Surveying
Quick slope + distance checks on site
Monitor unstable slopes, embankments, and retaining walls
Portable replacement for bulky survey gear (levels, total stations)
Affordable tool for field engineers and inspectors
Phase 2 – Niavra: Mesh
Construction & AR/VR
Align with
Building Information Modeling (BIM)
for site accuracy
On-site mapping of settlement, deflection, or misalignment
Anchor AR objects to physical coordinates with precision
Enable
multi-user shared AR environments
for design, training, or gaming
Phase 3 – Niavra: Swarm
Robotics & Smart Cities
Coordinate
multi-robot systems
indoors or underground where GPS fails
Provide high-accuracy ground truth for ML training in robotics
Large-scale monitoring of bridges, tunnels, and infrastructure
Swarm-based environmental sensing
(shifts, vibrations, air pressure)
Feed real-time data into
digital twin models
for smart city management
Let's Build the Future Together
We believe Niavra can revolutionize spatial computing across industries. We invite you to join us in shaping this exciting future.
Meet the Innovators
Justin Christie
CEO & Project Manager
Lucas Weeks
Embedded Systems & Sensor Fusion
Dylan Piercy
Signal Processing & Hardware Prototyping
Sanjib Torafder
Software & Web Integration
have any questions? just ask!
be a part of the future by Saying yes to the niavra team!
Thank you!