Defense Research · Rapid Prototyping

From raw signal to actionable result at record speed.

SigVis Solutions builds high-fidelity prototypes for the hardest problems in defense research: AI, deep learning, signal processing, computer vision, radar, and sonar. Founded by University of Arizona ECE researchers, we close the gap between paper and deployable system.

Request capability briefing → View projects
Domains Signal, vision, AI
Turnaround Weeks, not quarters
Fidelity Research-grade
01 / Capabilities

A slice of what we do.

The areas below are some of where we go deepest — not a complete list. Most engagements combine several across the full sensor-to-decision pipeline. Each one is hands-on expertise, backed by published research and production code.

01

AI & Deep Learning

Convolutional, transformer, and diffusion architectures. Custom training pipelines, transfer learning, and on-device deployment.

02

Machine Learning

Classical ML for tabular, sequence, and embedded constraints — gradient boosting, kernel methods, Bayesian inference.

03

Signal Processing

Detection, estimation, filtering, beamforming, and spectral analysis. From DSP fundamentals to adaptive arrays.

04

Computer Vision

Detection, segmentation, tracking, and recognition under low-SNR, occluded, and adversarial conditions.

05

3D Vision

Multi-view geometry, NeRF / Gaussian splatting, point cloud processing, and 3D reconstruction from sparse sensors.

06

Radar

Pulse-Doppler, SAR/ISAR, target classification, and clutter suppression on synthetic and real-collect data.

07

Sonar

Active and passive sonar processing, multi-agent tracking, and underwater acoustic modeling.

08

Generative AI

Diffusion, GANs, and LLM-based augmentation for data synthesis where collection is expensive or restricted.

02 / Approach

A four-phase loop, optimized for the fastest path to defensible results.

Defense research timelines are measured in weeks, not fiscal years. We compress the loop without compromising rigor.

PHASE 01

Identify customer demands

Start with the customer’s operational question, constraints, and definition of success. Nothing gets built until we agree on what “done” looks like.

PHASE 02

Rapid prototype

Stand up an end-to-end pipeline on synthetic or seed data in days. Iterate the model and the harness in parallel.

PHASE 03

Hardening

Stress with real-collect data, edge cases, and adversarial inputs. Quantify performance against the metric, not the demo.

PHASE 04

Handoff

Reproducible code, written report, and a working demo. Ready to brief, ready to extend, ready for the next phase of work.

04 / WHO WE ARE

Small effective team. Direct line from the lab to your problem.

No layers, no account managers. You work with the people writing the code.

Alex Berian

Alex Berian

Founder · Principal Investigator PhD candidate, ECE — University of Arizona
Advised by Dr. Abhijit Mahalanobis

Researcher in AI, deep learning, generative AI, machine learning, signal processing, computer vision, and 3D vision. Brings academic rigor and end-to-end systems experience to defense-research prototyping.

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

JhihYang Wu

Co-Founder · Research Engineer MS, ECE — University of Arizona
Former intern, xAI

Recent graduate with a master’s thesis in 3D computer vision, AI, and generative modeling. Industry experience at xAI bridges frontier deep-learning practice with applied prototyping for defense research.

3D Computer Vision Deep Learning Generative AI Machine Learning AI Systems
Google Scholar ↗
05 / Engagement

Have a defense research problem? Let’s scope it.

Email is the fastest channel. Send us the problem, the constraints, and a target turnaround. We’ll respond within 48 hours.

Email [email protected]
Entity SigVis Solutions LLC
HQ Tucson, Arizona · USA
Response ● Within 48 hours