Our principles guide what we build. What we build creates the path. The path leads to a world where powerful tools serve everyone—not just those who can already afford them.
FAESR exists to demonstrate—through working tools, not position papers—that AI can multiply human capability and create opportunity for everyone, everywhere.
Our principles guide what we build. What we build creates the path. The path leads to a world where powerful tools serve everyone—not just those who can already afford them.
Six core principles that guide everything we build.
Technology that multiplies what one person can accomplish doesn't shrink opportunity—it expands it. A single researcher with the right tools can now do what once required an institution.
The world has enough position papers. What it lacks are working demonstrations that ethical AI creates real value for real people. We build instruments, not arguments.
Every piece of software we create is open source. Every methodology is published. Every algorithm is auditable. Black boxes serve the builder. Open systems serve the user.
Your observations belong to you. Your data belongs to you. We build tools that work locally by default, with cloud features as an opt-in choice—not the other way around.
Uncertainty about whether something matters isn't license to act as if it doesn't. We extend care proactively. We build ethical infrastructure now, not after debates conclude.
A tool that only serves those who can already afford institutional resources isn't creating abundance—it's another barrier. We price for access. We design for everyone.
Principles without projects are just words. We demonstrate our beliefs by building things—openly, transparently, and collaboratively.
Deep Space Measurement Observatory
An open-source deep-sky observatory with hardware assembled and software in development. The goal: triple-optics architecture that gives individual citizen scientists capabilities once reserved for university departments. BVRI photometry. AI-assisted processing. Open source from edge to cloud.
Status: Hardware assembled. Enclosure and software in early development. Seeking software engineers with Python, INDI, and embedded systems experience. Target founding network Q3 2026 (aspirational).
Learn about HeraldExperimental work on multi-agent deliberation—AI councils that consider problems from multiple perspectives before offering recommendations. Collaborative intelligence that augments human judgment.
Open research on AI ethics implementation, practical safety engineering, and building trustworthy systems. Every methodology published. Every result reproducible.
FAESR grew out of a simple frustration: too much AI discourse is abstract, theoretical, or fear-driven. Not enough people are building working tools that demonstrate what ethical AI actually looks like in practice.
My background spans satellite imaging algorithms, network engineering, restaurant consulting, and—now—farming in Virginia's Shenandoah Valley. The common thread: systems thinking, and a belief that technology should serve people who use it, not extract from them.
I started FAESR because I wanted to prove a point through construction, not argument. Herald DSMO is the first demonstration: a complete scientific instrument, built ethically, priced for access, open by default.
The farm helps me think clearly. You can't bullshit a goat. The same principle applies to technology: either it works and creates value, or it doesn't. FAESR is about building things that work.
FAESR is a nonprofit. We don't have shareholders demanding extraction. We have a mission demanding demonstration.