Engineers. Not Entrepreneurs.
We're a small team of signal processing researchers and engineers who got tired of seeing GNSS positioning limited by outdated algorithms. We decided to fix it ourselves.
Our Mission
GNSS positioning technology has plateaued. Satellites keep getting better — more constellations, more frequencies, more power. But receivers are still processing those signals using architectures that haven't changed in decades.
We believe the next leap in positioning accuracy comes from better algorithms, not better satellites. Phasar Labs exists to close that gap.
Our goal is straightforward: build signal processing technology that makes GNSS positioning more accurate, more reliable, and more accessible — without requiring changes to the space segment.
What We Do
We research, develop, and patent advanced GNSS signal processing methods — with a particular focus on carrier-phase ambiguity resolution, multi-constellation integration, and noise-tolerant positioning architectures.
We're an R&D lab first. Commercialization follows the science, not the other way around.
The Story
Phasar Labs grew out of academic research into GNSS carrier-phase positioning. The founder was working on advanced ambiguity resolution techniques as a research problem, not a commercial product — and the results were better than anything in the literature.
The question became: should these techniques stay in a paper, or should they become technology?
We chose technology. Phasar Labs was formed to develop these ideas into practical, deployable signal processing IP — and to attract the kind of engineering talent that cares about pushing the theoretical limits of what's possible with GNSS.
Research Origins
Core work on carrier-phase ambiguity resolution begins in an academic setting, demonstrating performance beyond published state-of-the-art.
Lab Formation
Phasar Labs established as an independent R&D entity to develop proprietary signal processing architectures and file core IP.
Core Architecture Complete
Our proprietary signal processing framework reaches technical maturity, with validation against reference station data confirming performance claims.
Team Expansion
Building the engineering team with specialists in digital signal processing, estimation theory, and GNSS systems engineering.
How We Think About the Problem
Our approach is shaped by a small set of principles that guide every design decision.
First Principles
We don't incrementally improve existing algorithms. We start from the physics of the signal and ask what's theoretically possible, then build toward that limit.
Measurement-Driven
Every claim is validated against real data from reference-grade receivers. If it doesn't measure better, it doesn't ship. Period.
Open About What We Can
We publish where we can and patent where we must. The community benefits from open research; our investors benefit from protected IP. Both matter.
Depth Over Breadth
We're not a platform company. We go deep on signal processing — the one thing that actually limits GNSS positioning performance — and do it exceptionally well.
Small Team, High Signal
We hire deliberately. Every team member is a specialist who can think at the mathematical level the problem demands. No generalists, no managers managing managers.
Science First
Technical decisions aren't driven by shipping dates. We develop until the science is sound, then figure out how to productize it. That order matters.