- Mon - Fri: 8:00AM - 5:00PM
- info@arcisphere.com
- 215-378-8155
Home – Fractional AI Development
Access senior AI development expertise on-demand without permanent hires, recruitment costs, or management overhead. We deliver production-ready AI systems for regulated industries through experienced developers who understand enterprise constraints and compliance requirements.
Every organization needs AI capabilities. Few can afford the talent required to build them properly.
Senior AI developers command $200K+ salaries. Recruiting takes 6+ months. You’re competing against tech giants offering unlimited budgets and equity packages. Even if you hire successfully, AI expertise becomes obsolete quickly—today’s ML frameworks are tomorrow’s legacy systems.
Meanwhile, your competitors are deploying AI systems capturing market share you’ll never recover. The cost of waiting for perfect internal teams exceeds the cost of fractional expertise that starts delivering immediately.
Fractional AI development provides senior-level expertise without permanent overhead. You get experienced developers who’ve built production AI systems for regulated industries, scaling capacity up or down as your needs evolve.
Have questions, need guidance, or want to explore how we can support your goals — our team is here, ready to help. Let’s move forward together.
We build production-ready AI systems tailored to your specific business requirements and regulatory constraints. From initial concept through deployment, we deliver AI solutions that work in real enterprise environments.
What we develop:
Delivery: Production-ready systems with documentation, training, and handoff to your internal teams.
AI systems must work within your existing technology stack. We integrate AI capabilities with your current enterprise systems, ensuring seamless data flow and operational continuity.
Integration services:
We deploy AI systems on Kubernetes infrastructure providing scalability, reliability, and portability across cloud providers. Our Kubernetes-certified professionals ensure your AI systems scale efficiently.
Infrastructure capabilities:
We embed security throughout AI development using DevSecOps practices. Security isn't added after development—it's integrated from the start.
Security integration:
We assess your business requirements, technical constraints, and regulatory obligations. Then we design AI architecture fitting your environment and compliance needs. Timeline: 2-3 weeks.
We build AI systems iteratively, providing regular demos and incorporating feedback. Comprehensive testing ensures reliability before production deployment. Timeline: 8-16 weeks depending on complexity.
We deploy AI systems to production infrastructure and train your teams on operation and maintenance. Complete documentation enables ongoing support. Timeline: 2-4 weeks.
We provide ongoing support, performance monitoring, and enhancements as your needs evolve. Fractional engagement continues or scales down based on requirements.
You need AI capabilities but lack specialized internal resources. Fractional development provides expertise without permanent hiring costs or recruitment timelines.
Your existing team can't handle growing AI demand. Fractional developers augment internal capacity, providing specialized skills your permanent staff lacks.
You need AI integration with complex existing systems. Our enterprise experience ensures AI works within your technical and organizational constraints.
You need AI developers who understand regulatory requirements. We've built AI systems for healthcare, finance, and other regulated industries requiring compliance-first development.
AI systems handling patient data with HIPAA compliance. Medical imaging analysis. Clinical decision support tools. Drug discovery automation.
AI for fraud detection and risk assessment. Trading algorithms. Customer service automation. Regulatory reporting systems.
Quality control computer vision systems. Predictive maintenance models. Supply chain optimization. Production scheduling AI.
Claims processing automation. Underwriting decision support. Fraud detection systems. Customer risk assessment.
Our founder spent 20+ years at IBM building mission-critical systems for Fortune 500 clients. We understand enterprise constraints: political realities, technical debt, compliance requirements, and organizational complexity that academic AI experts miss.
We hold official Kubernetes certifications. Your AI systems deploy on enterprise-grade infrastructure providing scalability, reliability, and operational efficiency.
We've built AI systems for healthcare, finance, and other regulated industries. We understand the compliance requirements, audit trails, and documentation that regulators demand.
We'll tell you if AI is appropriate for your use case or if simpler solutions work better. We'll explain realistic timelines and costs. No hype, no overselling—just professional assessment of what AI can actually deliver.
• Permanent senior AI developer: $200K+ salary, $50K+ benefits, $30K+ recruiting costs = $280K+ annual
• Fractional AI developer: $10K-$20K monthly when you need them, $0 when you don't
• Permanent hire: 6+ months recruiting, 3+ months onboarding = 9+ months before productivity
• Fractional developer: 1-2 weeks onboarding, immediate productivity
• Permanent hire: Fixed cost regardless of workload, difficult to reduce if needs change
• Fractional developer: Scale up during heavy development, scale down during maintenance
• Permanent hire: What if they leave? What if AI strategy changes? What if their skills become obsolete?
• Fractional developer: No long-term commitment, switch expertise as needs evolve
Every organization’s AI needs are different. The solution appropriate for one company won’t work for another. Schedule a consultation to discuss your AI development requirements.
215-378-8155
info@arcisphere.com
Yes. Many clients use fractional developers to augment internal teams, providing specialized AI expertise their permanent staff lacks. We integrate directly with your development processes, tools, and infrastructure. We can lead AI development independently or collaborate as part of your existing team structure.
We follow enterprise development standards: comprehensive code reviews, automated testing, detailed documentation, and knowledge transfer sessions. All code is production-ready with documentation enabling your internal teams to maintain systems after handoff. We don’t build systems and disappear—we ensure your team can support what we build.
AI projects often evolve as you learn what actually works. We use iterative development with regular demos, allowing course corrections before investing months in the wrong direction. Fractional engagement provides flexibility permanent teams lack—if priorities change, development focus changes immediately.
All code, models, and intellectual property belong to you. We sign comprehensive NDAs and work under your IP assignment agreements. For regulated industries requiring additional security measures (background checks, security clearances, etc.), we accommodate those requirements.
We provide ongoing support options: continued fractional engagement for enhancements and optimization, on-call support for production issues, or complete handoff to your internal teams with documentation and training. Support level depends on your preference and internal capabilities.
Jim Sullivan founded Arcisphere Technologies after 20+ years in enterprise software engineering, including extensive experience at IBM implementing mission-critical systems for Fortune 500 clients where regulatory compliance and operational reliability were non-negotiable.
He holds certifications in NIST AI Risk Management Framework implementation, ISO 27000 information security management, and Kubernetes infrastructure. Jim’s experience spans the complete lifecycle of enterprise technology—from initial architecture through production deployment and ongoing governance—with particular focus on systems where failures have severe regulatory, financial, or reputational consequences.
His approach to fractional AI development reflects years of enterprise experience: AI systems must deliver business value while satisfying regulatory requirements and fitting within organizational constraints that academic AI experts often overlook.
