Cloud
Modern infrastructure that scales with your ambition.
Whether you're migrating legacy systems or optimizing an existing cloud footprint, we build infrastructure that's secure, cost-efficient, and ready for what comes next.
The cloud isn’t a destination. It’s an operating decision you keep getting wrong.
Most cloud migrations deliver infrastructure change without operational improvement. Costs balloon, complexity multiplies, and the promised agility never materializes. We approach cloud as an operating model transformation — not a lift-and-shift exercise.
Modernize the architecture. Not just the hosting.
Moving monoliths to the cloud doesn’t make them modern. Containerization, serverless, and event-driven architectures unlock the performance, cost efficiency, and deployment speed that justify the investment. We rebuild for the way your business actually needs to operate.
Resilience isn’t a feature. It’s a requirement you can’t afford to skip.
Hybrid architectures, disaster recovery, and on-prem integration aren’t edge cases — they’re the reality of enterprise infrastructure. We design for the world as it is: regulated, distributed, and unforgiving of downtime.
Our cloud expertise
Cloud migration fails when it's treated as an infrastructure project instead of a business transformation. We start with workload assessment and total cost modeling — not just what moves, but what should be re-architected, what should be retired, and what the operating model looks like on the other side. The result is a migration that delivers measurable improvement, not just a change of address. We've moved everything from legacy mainframes to sprawling on-prem estates, and the pattern is always the same: the organizations that plan for operations on Day 2 are the ones that actually capture the value.
Talk to usBeing in the cloud and being cloud-native are two very different things. Most enterprises are paying cloud prices for on-prem architectures — VMs running monoliths, over-provisioned resources, and deployment processes that still take days. We modernize the stack: containerization for portability, serverless for efficiency, event-driven architectures for scale, and the CI/CD pipelines that make it all deployable in minutes. Then we optimize — right-sizing, reserved capacity, spot strategies, and the monitoring that keeps costs from quietly spiraling.
Talk to usNot everything belongs in the public cloud — and pretending otherwise is how enterprises create risk. Regulatory requirements, data sovereignty, latency constraints, and legacy integrations all demand infrastructure strategies that work across environments. We design hybrid architectures that bridge on-prem and cloud without creating operational complexity. We build disaster recovery that actually works when tested — not just documented in a binder no one has opened. And we plan for the scenarios most organizations hope won't happen: regional outages, ransomware, and the cascading failures that turn incidents into crises.
Talk to usCase Studies
Our Cloud Work
Lifeworks
Legacy on-premises infrastructure migrated to AWS with zero customer-facing downtime
Lifeworks needed to migrate its core platform from aging on-premises infrastructure to AWS to support product growth and reduce operational overhead. We led the migration strategy and execution, delivering a modern cloud architecture without disrupting the customer experience.
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Fortune 500 Energy Company
Cloud cost optimization program delivered $3.6M in annual savings without compromising performance
A Fortune 500 energy company had migrated to the cloud two years prior but was spending 40% more than projected. We conducted a comprehensive cloud optimization engagement that reduced costs by $3.6M annually while improving performance and reliability.
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Insights
Our Cloud Insights
Cloud-Native Application Architecture: Patterns That Scale
Kubernetes in Production: Operational Maturity Beyond Deployment
Cloud Migration Pitfalls: What We Have Learned from 50+ Enterprise Moves
Zero Trust Architecture in the Cloud: A Migration Roadmap
Cloud Cost Optimization: Beyond the Obvious Savings
Multi-Cloud Strategy: When It Makes Sense and When It Does Not
The Business Case for Cloud-Native Development
The Cloud Migration Checklist: Ensuring a Smooth Transition
Ready to Build Your AI Roadmap?
Tell us where you are. We'll tell you what it takes to get where you're going.
FAQs
Common questions about how we work, what we build, and what it takes to move from experimenting with AI to operating with it.
It means going beyond buying AI tools. AI transformation is about redesigning how your organization works — restructuring workflows, redefining roles, deploying agents and custom models, and building the governance infrastructure to manage it all at enterprise scale.
Using ChatGPT or Copilot is a starting point, not a strategy. A transformation partner helps you move from ad hoc AI usage to systematic integration — purpose-built agents embedded in your workflows, custom models trained on your data, and governance frameworks that make it all enterprise-safe.
Agents handle specific tasks — analyzing data, routing requests, generating reports. Infrastructure is everything that keeps those agents reliable, compliant, and maintainable: monitoring, audit trails, access controls, model versioning, and the orchestration layer that ties them together.
Governance is built into every engagement from day one. We design audit trails, access controls, data handling policies, and compliance frameworks tailored to your industry — whether that’s SOX, HIPAA, SOC 2, or internal enterprise standards.
We work primarily with technology companies, large enterprises, and PE/VC-backed portfolio companies across finance, healthcare, telecommunications, manufacturing, and professional services. Our approach adapts to any regulated or complex enterprise environment.
It depends on scope. A focused agent deployment can take 4–8 weeks. A full workflow redesign with custom model development and governance infrastructure is typically a 3–6 month engagement. We scope every project during the Visualize phase before committing to timelines.
Both. For many use cases, fine-tuned versions of leading foundation models deliver excellent results. For enterprises with proprietary data and domain-specific requirements, we develop fully custom models. We recommend the right approach based on your data, use case, and cost considerations.
We integrate with your team, not replace them. Our engagements are designed to build internal capability — we work alongside your engineers, transfer knowledge throughout the process, and leave your team equipped to maintain and evolve the systems we build together.
Visualize: we map your current operations, identify AI opportunities, and design the target state. Realize: we build and deploy agents, models, and infrastructure. Optimize: we monitor performance, refine workflows, and scale what’s working. Each phase has clear deliverables and decision points.
Schedule a consultation. We’ll discuss where your organization stands today, where you want to go, and whether Mashbot is the right partner to get you there. No pitch decks — just a conversation about your business.
Still have questions?
Tell us what you're working on. We'll tell you if we can help.