Engineering Truth
in a Probabilistic World.
Styx AI builds physics-grounded intelligence for domains where getting it wrong isn't an option: autonomous driving, medical imaging, astrophysics, and digital forensics.
The Founder's Vision
"Why I built Styx."
The AI industry is obsessed with scale. Bigger models, bigger datasets, bigger compute. But in safety-critical domains — autonomous vehicles, medical diagnosis, criminal forensics — "bigger" doesn't mean "better." It means "more opaque."
My background is in electrical engineering and physics. For years I studied how complex imagery is analyzed — spatial location, frequency content — and realized there was a vast, untapped dimension hiding in the relationships between an image's spectral channels. During my PhD I formalized that insight into the ISED Framework — a rigorous mathematical framework that extracts physical structure from images using spectral decomposition, not pattern matching.
Every feature it produces has a physical meaning. Every result is interpretable. And it works on data it has never seen before — no training set required. I founded Styx AI to bring that breakthrough out of the lab and into the domains where trust is non-negotiable.
Core Philosophy
- Physics-first feature extraction
- Interpretable by design
- Zero training data required
Current Stage
Why Now?
AI Trust Crisis
Industry is pivoting from black-box models to explainable, auditable intelligence — especially in regulated sectors.
Deepfake Epidemic
The forensic imaging market is under siege. Current tools can't keep up with novel AI generators. Physics-based detection can.
Medical AI Regulation
Pathology and radiology require explainable QC. Styx provides deterministic quality scoring with no hallucination risk.
ADAS Safety Gap
Autonomous driving perception relies on pre-trained models. Physics-informed depth estimation works in conditions those models have never seen.
What We've Built
Trident (ADAS), OMEGA (Astro), CYTOISED (Bio), Styx (Forensics)
Original algorithms & mathematics
Per-image forensic fingerprint
U.S. Application Nos. 63/940,736 and 63/983,021
Interested?
We're looking for investors, research collaborators, and integration partners who believe physics-grounded AI is the future of high-stakes decision-making.