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.
Move robot learning into the real world.
Train in simulation, build the AWS ML pipeline, and deploy policies to physical systems.
Move AI into real workflows.
Operationalize AI with practical tools, automation, and controls.
Modernize core systems.
Improve reliability, performance, and long-term scalability.
Build cloud platforms that perform.
Reduce waste, strengthen reliability, and support production growth.
Before the larger build
Start with a defined diagnostic.
Clarify the technical question, review the evidence, and agree on scope and deliverables before committing to implementation.
Find the value hidden inside your cloud spend.
Respondents to Flexera’s 2026 State of the Cloud survey estimate 29% wasted IaaS/PaaS spend. That supports investigating efficiency—not promising a fixed saving.
Our separate illustrative scenario assumes $500K monthly spend, a 25% achievable reduction, and $250K one-time implementation cost. The figures below are modeled, not measured client outcomes or research-validated returns.
Assumes immediate, full-year savings; excludes added recurring costs and ramp-up. Actual savings require workload and billing validation.
Read the research, assumptions, and calculation →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.
Why Modern Backend Systems Matter More Than New Software
Adding new software does not always create more value. The systems, data, and architecture underneath may determine what technology can actually deliver.
The Growing Cost of Operational Complexity
The cost of complexity is often hidden in fragmented systems, duplicated work, and slower execution. Why simplification should come before scaling.
Why Enterprise AI Projects Fail Before Deployment
Why Enterprise AI Projects Fail Before Deployment: The Systems, Data, and Workflows Behind AI Success
Establish the technical path before committing to transformation.
A structured diagnostic engagement for organizations facing backend complexity, rising cloud expenditure, operational bottlenecks, or AI initiatives that require a credible path into production.
You receive executive findings, technical analysis, prioritized recommendations, and an implementation roadmap. Final scope and pricing depend on the systems, environments, stakeholders, and business units involved.
Discuss an enterprise assessment.
Enterprise Systems Assessment engagements start at $7,500. Final pricing is confirmed after Fitzroy reviews the systems, scope, and stakeholders involved.
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.
Schedule a 30-minute call, or submit the form for project, partnership, or enterprise assessment inquiries.
