FEDERAL CAPABILITY STATEMENT · Q4 2026

Aeroxis Enterprises

AI Systems Design & Cloud Engineering for federal agencies — delivered by the engineers who write the code, with demonstrated past performance at NOAA.

PEER-REVIEWED Our NOAA anomaly-detection work is published in the AMS journal Artificial Intelligence for the Earth Systems (2026), co-authored by David Daniel. Read the paper (DOI)

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BUSINESS SIZE

Small Business

PRIMARY NAICS

541512

UEI

KJ1JNDL1KPC5

CAGE CODE

8G1P1

SAM.GOV

Active

CORE COMPETENCIES

What we deliver for federal agencies.

Four core competencies, each mapped to a NAICS code and backed by delivery we can point to.

NAICS 541512

AI Systems Design & Deployment

Production-grade machine learning systems for sensor data, satellite imagery, and enterprise automation.

NAICS 518210

Cloud Infrastructure & DevOps

AWS EKS, CI/CD pipeline design and automation, containerized deployment across dev/staging/production.

NAICS 541511

Custom AI & Software Development

Bespoke AI solutions tailored to agency mission requirements, from prototyping to production.

NAICS 541715

Applied R&D in Physical Sciences

Machine learning for satellite and sensor data analysis at production scale.

WHY AEROXIS

Senior engineers, no dilution.

Demonstrated federal experience

Co-developed ResNet-18 anomaly-detection models for NOAA satellite imagery — 98% accuracy on GOES ABI and 95% on VIIRS (synthetic anomalies), peer-reviewed in AMS AIES (2026). Aeroxis was a subcontractor to STC, the prime contractor.

Full-stack delivery

Strategy through deployment — no handoff gaps. We write the code, configure the pipelines, and validate results.

Small business agility

Senior-level talent on every engagement — no subcontractor dilution, no project-manager layers.

Science-agency fluency

We understand data pipelines, satellite systems, and R&D workflows — no ramp-up needed on mission context.

AT A GLANCE

Business Type: Small Business
Primary NAICS: 541512 — Computer Systems Design
UEI: KJ1JNDL1KPC5
CAGE Code: 8G1P1
SAM.gov Status: Active · through Oct 25, 2027
Point of Contact: David Daniel, CTO · davydany@aeroxis.com
General Inquiries: hello@aeroxis.com
Capability Statement: Download PDF
Statement Date: Q4 2026

PEER-REVIEWED · AMERICAN METEOROLOGICAL SOCIETY

Peer-reviewed in the AMS journal Artificial Intelligence for the Earth Systems (2026)

“Operational Anomaly Detection in Satellite Imagery Using ResNet-18 Transfer Learning”

Rebekah Esmaili, David Daniel, Haibing Sun, Krish Narasimhan

David Daniel, Aeroxis co-founder and CTO, is second author. The work was part of NOAA's Earth Observation Digital Twin (EODT) project. Aeroxis Enterprises delivered this work as a subcontractor to Science & Technology Corporation (STC), the prime contractor, with David Daniel as Aeroxis CTO.

98%

GOES ABI ACCURACY

“…our ResNet-18 model was able to detect anomalies in ABI with 98% accuracy…” (Sec. 3a)

95%

VIIRS ACCURACY · SYNTHETIC ANOMALIES

“…the VIIRS model was able to detect synthetic striping anomalies with 95% accuracy…” (Sec. 3b)

Read the paper AMS journal page NOAA case study

Artificial Intelligence for the Earth Systems · Vol. 5, No. 1 · doi:10.1175/AIES-D-25-0026.1

PAST PERFORMANCE

Proven delivery, in production.

Federal and government-adjacent contracts where the system shipped and stayed shipped.

FEDERAL · 01 NAICS 541715

National Oceanic and Atmospheric Administration (NOAA)

R&D in Physical, Engineering Sciences

AI-driven binary error detection system for satellite imagery data streams. ResNet-18 models flag anomalies in NOAA GOES ABI & VIIRS satellite imagery.

AEROXIS ENTERPRISES, SUBCONTRACTOR TO SCIENCE & TECHNOLOGY CORPORATION (STC), THE PRIME CONTRACTOR · DAVID DANIEL, AEROXIS CTO · NOAA/NESDISAEROXIS ENTERPRISES, SUBCONTRACTOR TO STC (PRIME). DAVID DANIEL, CTO.

98% accuracy (GOES ABI) / 95% (VIIRS, synthetic anomalies) — peer-reviewed: Esmaili, Daniel et al., AMS AIES 2026, doi:10.1175/AIES-D-25-0026.1

Read the NOAA case study

FEDERAL · 02 NAICS 541512

Science & Technology Corporation (STC)

Computer Systems Design Services

CI/CD pipeline automation and AWS EKS cloud infrastructure engineering. A GitLab CI/CD pipeline that let STC's satellite scientists ship their own software across dev, stage, and prod.

AEROXIS ENTERPRISES FOR SCIENCE & TECHNOLOGY CORPORATION (STC) · DAVID DANIEL, AEROXIS CTO

Fully automated deployment across dev/staging/production

Read the STC case study

TEAMING & SUBCONTRACTING

Built to team with primes.

A small, senior team that slots into your delivery. Every lane below has run in production.

AI/ML surge capacity

Production anomaly detection and ML systems for sensor and satellite data — the engineers who shipped the NOAA models, on your team.

Digital-twin & data-workflow builds

Earth-observing digital-twin prototyping for the NESDIS ground system: scientific-data pipelines and ML woven into mission workflows.

DevSecOps & platform modernization

CI/CD pipelines and Kubernetes/AWS EKS delivery across dev, stage, and production.

NAICS CODES

Capability areas by NAICS code.

The NAICS codes that match our work, primary first, and what we actually do inside each one.

Code	Title	Application
541512	Computer Systems Design Services	AI systems design, cloud architecture, DevOps consulting
541511	Custom Computer Programming Services	Bespoke AI and automation software
541715	R&D in Physical, Engineering Sciences	Applied ML for satellite and sensor data
518210	Computing Infrastructure / Data Processing	Cloud infrastructure, deployment automation
541519	Other Computer Related Services	AI advisory, data analytics

READY TO ENGAGE?

Let's talk about your mission workload.

SAM.gov registration: Active. Contact us to discuss your agency's AI and cloud engineering needs, or a teaming arrangement on your next bid.

CAPABILITY STATEMENT CURRENT AS OF Q4 2026 · AEROXIS.COM/GOVERNMENT

POINT OF CONTACT · DAVID DANIEL, CTO · DAVYDANY@AEROXIS.COM

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