Strategy that holds up under real delivery conditions, not just executive presentations.
Our Mission
Make AI execution clearer, safer, and materially more useful.
NEO ARC exists to help organizations move from AI interest to operational capability with clearer scope, stronger systems, and more defensible decisions.
Many teams can identify where AI might help, but execution gets harder once delivery, ownership, governance, and integration realities show up. NEO ARC is built to close that gap.
Execution
Governance
Systems
Capability
Plans built around systems, data, and governance realities teams actually face.
AI adoption work that leaves teams more capable after the engagement ends.
Gabriel Founder & AI Consultant
Gabriel is an AI Consultant and Full-Stack Developer based in Atlanta, Georgia, with strong full-stack engineering expertise and practical, production-focused AI delivery skills across modern web platforms.
He specializes in integrating large language models, intelligent agents, and machine learning workflows into scalable applications across the full stack, from React or Next.js interfaces to Node.js, TypeScript, or Python backends, databases, and cloud deployment, helping teams turn ambitious ideas into production-ready digital products.
Full-Stack Development
AI Integration
LLM Workflows
Cloud Delivery
Jack Principal Systems Architect
Jack brings more than 20 years of experience across software, game design, and consumer electronics, with deep expertise in building resilient systems that connect digital infrastructure to physical hardware.
His work spans cross-platform automation, persistent multiplayer and network environments, embedded IoT and LoRa mesh deployments, and advanced tooling for Unity and real-time 3D development workflows, giving teams practical systems that are durable, scalable, and ready for real-world operating conditions.
Systems Integration
Persistent Networks
Embedded IoT
3D Tooling
How NEO ARC works
Built around clarity, rigor, & usable outcomes.
Measured impact
Engagements are framed around delivery outcomes, decision quality, and operational usefulness rather than vague innovation language.
Responsible adoption
Governance, risk, privacy, and implementation constraints are part of the design process from the beginning, not treated as cleanup work later.
Working with the team
NEO ARC works alongside internal stakeholders so organizations leave with clearer capability, not just external recommendations.
What sets NEO ARC apart
Built for execution, not exploration theater.
Recommendations ship with implementation plans, ownership models, and delivery sequencing attached.
Every engagement accounts for regulatory, technical, and organizational constraints from day one.
Teams are left with skills, frameworks, and operating models, not dependency on external advisors.
Engagements stay focused on the problem that matters most, no unnecessary expansion or feature creep.
Industries served
Experience across key industries.
Clinical workflows, compliance, and patient data considerations.
Risk modeling, regulatory reporting, and operational efficiency.
Supply chain optimization, predictive maintenance, and quality systems.
Responsible AI governance, citizen services, and procurement readiness.
Route optimization, demand forecasting, and throughput planning.
AI product integration, platform architecture, and feature prioritization.