Platform Modernization
Modernize legacy build, release, virtualization, container, and hybrid-cloud platforms without losing operational control.
Founder-led consulting for engineering organizations that need reliable platforms, lower operating cost, and practical AI-assisted operations. Not theory. Real execution.
Six focused capabilities grounded in enterprise platform and operations experience.
Modernize legacy build, release, virtualization, container, and hybrid-cloud platforms without losing operational control.
Use controlled AI workflows to accelerate analysis, troubleshooting, documentation, and engineering decisions with human validation.
Design task-oriented agents with scoped access, observable behavior, explicit review gates, and production safeguards.
Connect engineering tools, operational signals, and data flows to reduce manual handoffs and improve decision quality.
Remove friction from CI/CD, build, release, and collaboration workflows so engineers can deliver faster and more reliably.
Build secure, scalable foundations across CI/CD, infrastructure as code, observability, vulnerability management, and delivery operations.
Not another generic consultancy. Here's what makes us different.
We don't just advise — we build. Real systems, working prototypes, and production-ready solutions that your team can actually use.
Recommendations start with operating data, business constraints, risk, and measurable outcomes—not fashionable tools.
Deep technical expertise combined with business acumen. We speak both languages and bridge the gap between engineering and operations.
We focus on practical AI applications that deliver value today, not hypothetical future capabilities. Controlled experimentation with measurable outcomes.
Evidence-backed examples from large-scale platform and engineering environments.
Modernized and consolidated on-premises infrastructure, reducing annual expenditure from approximately $250K to $100K while preserving required capacity and reliability.
Replaced legacy BizTalk orchestration with REST-based APIs, saving approximately $1M in licensing cost and reducing turnaround time by about 80%.
Rolled out an on-premises Git platform at the edge to enable secure engineering collaboration with external customers.
Applied controlled agentic analysis across system and application logs, Kibana, Nginx, and database signals to speed investigation while preserving human review and production safeguards.
A structured approach that minimizes risk and maximizes results.
We analyze your current workflows, identify bottlenecks, and understand your operational constraints and goals.
We prioritize automation and AI opportunities by business impact and implementation feasibility.
We design solutions that integrate with your existing stack and can scale as your needs evolve.
We build and deploy working systems, with regular check-ins and iterative refinement based on feedback.
We document everything, train your team, and provide guidance for ongoing optimization and expansion.
Dmytro has led global platforms supporting 2,000+ engineers, owned a budget below $5M, managed six direct reports at AMD, and led a distributed 15-person DevOps/SRE/SecOps/IT function.
This is hands-on implementation informed by enterprise CI/CD, hybrid infrastructure, organizational roadmaps, hiring and performance leadership, platform economics, and controlled AI-assisted operations.
Meet Dmytro"The businesses that thrive in the next decade will be those that successfully integrate AI and automation into their operations — not as experiments, but as core capabilities. My job is to make that transition practical and achievable."
— Dmytro Korotash, Founder
Map current risk and cost, prioritize platform and AI opportunities, and leave with an executable 90-day roadmap.
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