Capability Statement  ·  Federal & DoW Contracting

ONSQ Enterprises

AI Advisory  ·  IT Systems  ·  Enterprise Architecture  ·  Federal Contracting

Owen Eskew, M.S. AI, MBA  |  Principal & Founder

Company Overview

ONSQ Enterprises is a Texas-based AI and IT advisory firm serving federal agencies with a focus on DoW acquisition environments. Principal Owen Eskew holds an M.S. in Artificial Intelligence (UTSA, 2026) and an MBA (University of Phoenix), brings active contracting experience supporting AFLCMC/HNCD, and applies enterprise architecture and system design discipline developed across federal and academic AI research settings. The firm covers IT asset management and AI governance through machine learning deployment, GenAI integration, multi-tenant SaaS architecture, human-AI teaming design, and explainable AI systems built to operate in high-accountability environments.

Core Competencies

IT Asset Management (ITAM/HAM/SAM)
ServiceNow Platform Integration
Enterprise Architecture & System Design
Multi-Tenant SaaS Architecture
AI Strategy & Implementation Advisory
Machine Learning Model Development
GenAI Tools, Methods & Safe Adoption
Explainable AI (XAI) Development
Human-AI Teaming & Interaction Design
AI Governance, Risk & Compliance
AI Safety & Alignment Advisory
AI Process Design & Optimization
Technical Requirements & PRD Development
Applied AI Research & Analysis
AI Training Simulation Development (NeuroDriver)
Digital Transformation Advisory
Technical Documentation & Reporting

Past Performance

AFLCMC/HNCD – U.S. Air Force

ServiceNow ITAM/HAM/SAM contracting support for active acquisition lifecycle management within AFLCMC. Delivered asset tracking, hardware and software accountability, and lifecycle reporting across a complex DoD operational environment.

University of Texas at San Antonio – AI Research

Graduate research in neural network architecture, spiking neural networks (96.95% accuracy at ~49% event retention), and explainable AI systems. NeuroDriver simulator deployed with 97 students; mixed-methods study submitted to ACM SIGCSE 2026.

ACM SIGCSE 2026 Submission

Peer-reviewed paper on the NeuroDriver classroom AI research, co-authored with collaborator Diego Rodriguez, documenting a deployed neural-network driving simulator and its measured learning outcomes.

Ailura AI Platform

Designed and built a multi-tenant AI application (React, Flask, Supabase, scikit-learn) with SHAP and LIME explainability layers, producing transparent and auditable AI outputs suited to high-accountability operational use.

Doctor Marriage & Mapping Manhood

CTO role designing AI-integrated system architecture for a nationally distributed counseling education platform, covering application design, content pipelines, and AI tool integration.

Differentiators

Active DoW contractor, AFLCMC/HNCD — direct acquisition environment experience, not simulated
Dual graduate credentials — M.S. AI (UTSA, 2026) and MBA (University of Phoenix) — pairing technical research depth with program and business management fluency
Enterprise architecture and system design applied across federal contracting, multi-tenant SaaS, and independent AI platform development
Explainable AI development with SHAP and LIME — built for auditable, accountable outputs in high-stakes settings
Published AI ethics author — documented analytical framework on AI governance and human-AI accountability
Human-AI teaming advisory grounded in classroom research and operational AI deployment, not theory alone

NAICS Codes

541512
Computer Systems Design
541611
Mgmt. Consulting
541715
R&D, Engineering Sciences
541519
Other Computer Services
611430
Professional Dev. Training
541690
Other Scientific Consulting

Corporate Data

Entity
ONSQ Enterprises
Principal
Owen Eskew
Location
New Braunfels, TX
UEI
[add when registered]
CAGE Code
[add when registered]
SAM.gov
[registered / pending]

Point of Contact

Name
Owen Eskew
Email
owen.eskew@onsq.net
Phone
(830) 302-3330
LinkedIn
linkedin.com/in/owen-eskew-mba-msai-9b51167b
Website
onsq.net