Fix the systems slowing your business down.
Fitzroy helps growing organizations modernize backend systems, control cloud costs, and move AI initiatives from experimentation into reliable production.
Focused technical delivery for systems that matter.
Clear, practical support across backend, cloud, workflow automation, and production AI.
Modernize core systems.
Improve reliability, performance, and long-term scalability.
Build cloud platforms that perform.
Reduce waste, strengthen reliability, and support production growth.
Move AI into real workflows.
Operationalize AI with practical tools, automation, and controls.
Find the value hidden inside your cloud spend.
In Fitzroy’s illustrative model, a $500K monthly cloud estate with 25% recoverable inefficiency produces $1.5M in potential annual savings, $1.25M in first-year net value, and a 2-month payback period.
Adjust the spend, recoverable inefficiency, and implementation assumptions in the interactive planner to reflect your infrastructure.
Estimate your potential savings →Before scaling AI, know what production will demand.
Fitzroy’s AI Production Readiness Checklist helps leadership teams evaluate whether the systems, controls, data paths, and operating model are ready to support AI beyond the pilot stage.
Choose the issue closest to your business.
Rising cloud costs without clear visibility
Backend systems slowing product or operations
Legacy integrations creating bottlenecks
AI pilots not reaching production
Engineering teams stretched thin
Leadership needing a clearer technical path
Practical thinking for technical leaders.
Research briefs on AI, cloud infrastructure, finance, automation, and the systems behind modern business.
The AI Factory Is Moving Into the Factory
AI infrastructure is no longer only a data-center story. It is becoming an operating layer for industrial work.
The Enterprise AI Proof Gap
Why rising AI spending, autonomous agents, and cloud complexity are forcing companies to prove value before they scale.
The Physical AI Economy
How AI, robotics, compute infrastructure, and finance are converging into a new production layer for business.
Find where your systems may be slowing growth.
A focused no-cost review for organizations facing backend complexity, rising cloud costs, workflow bottlenecks, or AI initiatives that need a production path.
No obligation. The review is intended as an initial technical assessment, not a sales presentation.
Tell us what you are facing.
Berk Delibalta
Founder & Principal
M.S. Computer Science, Boston University
Experience across Deloitte, IBM, Zurich Insurance, and Thales.
Fitzroy is built around direct technical execution, combining enterprise engineering experience with a focused network of cloud, AI, software, and business collaborators.
Founder-led technical partnership for teams building at scale.
Fitzroy is led by Berk Delibalta, a Boston-based technology executive and engineering partner with experience across enterprise software, cloud infrastructure, applied AI, reinforcement learning, model development, and production-grade delivery.
That background shapes Fitzroy’s focus on practical assessment, hands-on execution, and systems built for real business conditions.
Backend systems built for reliability, performance, and scale
Cloud infrastructure experience across AWS, databases, and automation
Applied AI and reinforcement learning research for technical systems
Founder-led execution focused on production-ready delivery
Fitzroy Insights.
Short perspectives on backend systems, cloud infrastructure, AI adoption, and technical execution for leaders building modern companies.
Start with a focused conversation.
For project, partnership, or technical review inquiries, submit the form and Fitzroy will follow up directly.
