Founded 2026 / Tucson, AZ · USA / 3 principals · researcher-led
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A research-grade prototyping shop for defense problems.

SigVis Solutions was founded by University of Arizona ECE researchers who were tired of watching defense-research timelines lose to the slow handoffs between labs, primes, and program offices. We compress that loop — without sacrificing the rigor.

01 / Our Roots

Forged in the Integrated Sensing & Processing Lab.

Both founders met and trained at the same University of Arizona lab. SigVis exists to take what we built there into the field, on a faster clock, for the customers who need it.

● ORIGIN UNIVERSITY OF ARIZONA ECE EST. 2020+

Integrated Sensing & Processing Laboratory

ISPL is Dr. Abhijit Mahalanobis’s research lab in the University of Arizona’s Department of Electrical & Computer Engineering. The lab works at the intersection of physics-based sensing, signal and image processing, and modern machine learning — the same triangle that defines defense-research problems worth solving.

Alex and JhihYang trained at ISPL together. Alex remains a PhD candidate under Dr. Mahalanobis; JhihYang worked at xAI while completing his master’s thesis there; Daniel is currently a PhD candidate at ISPL alongside Alex. The methodological DNA of SigVis — rigorous benchmarking, sensor-aware modeling, end-to-end pipelines — comes straight out of that lab culture.

Visit ISPL ↗ Meet the team
LabIntegrated Sensing & Processing Lab (ISPL)
InstitutionUniversity of Arizona · ECE
DirectorDr. Abhijit Mahalanobis
DomainSensing, signal/image processing, ML
LocationTucson, Arizona
Sitesites.arizona.edu/ispl
02 / Operating Principles

What we believe.

Four convictions that shape how every engagement is run.

PRINCIPLE 01

Researcher-led

The people doing the work talk directly to the customer. No layers of account managers translating intent.

PRINCIPLE 02

Measure, don’t demo

Every prototype is judged on a metric defined up front, against held-out data — not a hand-picked highlight reel.

PRINCIPLE 03

Reproducible by default

Code, configs, and results ship together. If we can’t reproduce a result tomorrow, it didn’t happen.

PRINCIPLE 04

Bias for short loops

Weekly internal reviews, biweekly customer reviews. Course-correct early and often.

03 / Principals

The team.

Three researchers covering the full stack from sensor physics to deep learning systems.

Alex Berian

Alex Berian

Founder · Principal Investigator PhD candidate · Electrical & Computer Engineering
University of Arizona · Advised by Dr. Abhijit Mahalanobis

Alex is an end-to-end researcher across AI, deep learning, generative AI, machine learning, signal processing, computer vision, and 3D vision. His doctoral work sits at the intersection of learning-based methods and classical signal/image processing, with a focus on the kinds of low-SNR, sensor-constrained problems that show up in real defense settings.

Brings the academic rigor of a publishing PhD with the systems instinct of someone who has shipped end-to-end pipelines.

AI Deep Learning Generative AI Machine Learning Signal Processing Computer Vision 3D Vision
Google Scholar ↗
JhihYang Wu

JhihYang Wu

Co-Founder · Research Engineer MS · Electrical & Computer Engineering
University of Arizona · Former xAI

JhihYang worked as a full-time engineer at xAI while completing his master’s thesis in 3D computer vision, AI, and generative modeling. That frontier-lab experience — building and shipping at scale — is what he now brings to bear on smaller, sharper, defense-research-scale prototypes.

3D vision and generative-AI specialist with frontier-lab industry experience.

3D Computer Vision AI Machine Learning Deep Learning Generative AI
Google Scholar ↗
Daniel Brignac

Daniel Brignac

Co-Founder · Research Engineer PhD candidate · Electrical & Computer Engineering
University of Arizona · Advised by Dr. Abhijit Mahalanobis

Daniel is a PhD candidate at ISPL alongside Alex, working on machine learning, signal processing, and computer vision for sensing applications. His internship experience spans both sides of the defense-research ecosystem: the U.S. Air Force Research Laboratory (AFRL) and, currently, Areté — a direct line into the program offices and primes that drive the field.

Defense-research insider with active AFRL and Areté industry experience.

Machine Learning Deep Learning Signal Processing Computer Vision AFRL Areté
Google Scholar ↗
04 / Entity

Company facts.

For procurement, partner registration, and capability-statement requests.

Legal nameSigVis Solutions LLC
Founded2026
HQTucson, Arizona — USA
StructureLimited Liability Company
SAM.gov● Registration in progress
CAGE code● Pending
Email[email protected]
Engagement

Talk to the principals.

No intake forms, no gatekeepers. Email lands directly with the people doing the work.

Email[email protected]
Response● Within 48 hours
Best forScoping notes, capability questions, NDA requests