We build the systems that matter—from net-new applications to legacy modernization.
Speed, security, and scale shouldn’t compete. Yet many delivery models force trade-offs, and some cloud migrations end up replicating on‑prem limits at higher cost. We take a modernization-first approach—building security and scalability into the architecture from day one. Whether you’re developing net-new applications or transforming legacy systems across AWS, Azure, or Google Cloud Platform, we focus on outcomes to help you achieve faster releases, lower risk, and measurable business impact.
Modern applications need architectures that support AI, automation, and real-time data—not retrofitted legacy patterns. We design and build on AWS, Azure, and Google Cloud Platform using hyperscaler-native services, platform accelerators, and reusable engineering patterns to reduce delivery time while maintaining governance. Applications integrate AI and data capabilities without creating technical debt or vendor lock-in.
Lift-and-shift gets you to the cloud. It doesn’t solve the underlying problems—brittle dependencies, monolithic architectures, and infrastructure that can’t scale. We help assess complexity and dependencies upfront, then apply containerization, microservices, and serverless patterns to modernize workloads. You get infrastructure that’s simpler to operate and built to support future growth, not just a cloud-hosted version of your current challenges.
Building platforms that scale requires more than good developers. It requires disciplined architecture across public, private, and hybrid environments. We support the full lifecycle, from greenfield builds to legacy modernization, working across technology stacks, languages, and low-code platforms. AI-enabled engineering accelerates every phase, from requirements through testing, helping your teams move from concept to production without sacrificing control.
We build secure, maintainable applications using modern engineering practices, including automated testing, CI/CD pipelines, infrastructure as code, and agile delivery. From architecture through deployment, we focus on code quality and long-term maintainability—because technical debt compounds faster than most teams realize. Reusable components and standardized patterns help you ship faster without creating problems for the next release.
Manual testing is slow, inconsistent, and catches problems too late. We implement AI-driven test automation with anomaly detection and self-healing test suites that identify defects earlier in the cycle. Faster, more reliable test coverage means your teams can release more frequently with fewer surprises in production.
Reliable releases shouldn’t depend on heroic manual effort. We implement cloud-native CI/CD pipelines, infrastructure as code, and automated release controls that standardize build, test, and deployment across environments. Standardized automation reduces manual errors, accelerates deployments, and helps release processes work the same way every time.
Security added at the end is expensive to implement and easy to break. We integrate threat modeling, access controls, and compliance checks into every development phase—with automated detection, remediation, and governance built into the pipeline. This simplifies audits, reduces rework, and helps keep security from becoming a bottleneck before every release.
The ability to ship fast with confidence isn't a nice-to-have. It's a competitive edge. We help clients remove the bottlenecks that slow delivery and build in quality from the start, so speed doesn't come at the cost of risk.
Scott PetryPrincipal and Offering Leader, PwC US