App Modernisation and Development

Two problems, one engineering discipline

Every application team we work with is stuck at one of two extremes. Either they are paying millions a year to keep an IBM mainframe, an AIX Power estate, or a 15-year-old Java/.NET monolith alive while the people who wrote it retire. Or they need to launch a new digital product and their internal teams are too tied up keeping the old stack upright to build it.

Our founder spent six and a half years at Google Cloud, including serving as Head of Application Modernisation for APAC Professional Services. We built Aviato’s engineering practice around a simple rule: no multi-year blind rewrites, and no slide-deck consulting. Whether we are moving COBOL and CICS transactions off z/OS, porting Big-Endian C++ from AIX to Linux, or shipping a new customer portal in Flutter and Go, we put code into production in bounded, measurable sprints.

Legacy & core systems modernisation

Replacing a system that processes your core ledger or overnight batch cannot rely on manual guesswork. We combine AI-assisted static code analysis with automated traffic replay so you can retire legacy hardware without gambling on a big-bang cutover.

Mainframe Migration (IBM z/OS & IBM i / AS/400)

Manual mainframe rewrites fail because the specifications were lost decades ago, and automated line-by-line transpilers produce unreadable “JOBOL” code that nobody can maintain. We start with Google Cloud’s Mainframe Assessment Tool (MAT) and runtime SMF logs to identify dead code, orphaned copybooks and duplicate batch jobs, reducing the scope of what needs to be migrated by up to 70%. From there, Gemini and Claude agents do the heavy lifting: extracting domain rules from active COBOL, PL/I, RPGLE, Assembler, CICS and JCL, generating clean Java (Spring Boot), Go or Python services, and proving 100% transaction parity in parallel with Google Cloud Dual Run.

AIX & IBM Power to Google Cloud Migration

Treating an AIX migration like a standard Linux lift-and-shift breaks as soon as Big-Endian C/C++ structs corrupt binary data on Little-Endian x86, or thousands of ksh93 scripts fail on GNU utilities. We audit your LPARs, fix endianness and IBM XL C/C++ compiler traps, migrate DB2 and Oracle databases to AlloyDB, Cloud SQL or Oracle Database@Google Cloud, and move closed-source binaries onto IBM Power for Google Cloud (IP4G) when you need to exit a data centre before refactoring.

Enterprise Application Modernisation

When a Java EE, WebSphere or .NET monolith takes two days to deploy and a single memory leak brings down the whole business, we carve it up using the Strangler Fig pattern. We place an API routing layer in front of the monolith, extract high-change domains into stateless Cloud Run or GKE Autopilot services, and use Change Data Capture (CDC) to peel tables away from the shared database one domain at a time.

Apigee & API Management

Modernisation only works safely when callers are decoupled from the backend you are replacing. We design and run Apigee X and Apigee Hybrid platforms for healthcare, financial services and enterprise teams, giving you OAuth2/OIDC security, rate limiting, and the routing control to shift traffic from a legacy mainframe or AIX service to Google Cloud route by route.

Cloud-native & mobile product engineering

When you are building something new, we skip the bloated middleware and build directly on managed Google Cloud primitives that scale to zero when idle and handle traffic spikes without someone paging an ops team at 2am.

Go, Python & AI-Native Backends

We write backend APIs, event-driven workers and data pipelines in Go, Python (FastAPI) and TypeScript (Node.js) running on Cloud Run and GKE, backed by AlloyDB, Cloud SQL, Cloud Spanner and Pub/Sub. Where a workflow needs document parsing, classification or natural language search, we wire Vertex AI and Gemini models directly into the application service layer with strict IAM and VPC Service Controls.

Flutter Web & Mobile Applications and Mobile App Development

Maintaining separate Swift, Kotlin and React teams for the same product doubles your bug surface and slows down every release. We build cross-platform iOS, Android and web applications from a single Flutter codebase (alongside React and Next.js for web-first products) with 60fps native rendering, offline sync, and automated Fastlane/Codemagic CI/CD straight to the App Store and Google Play.

The A$16,000 Rapid MVP

If you need to validate a new product with real customers or prove an internal tool to your board before committing a six-figure budget, we ship a production-grade MVP in 4 weeks for a fixed price of A$16,000. You get a working frontend, a serverless Google Cloud backend, authentication, and CI/CD pipelines inside your own cloud account.

How we engineer software

1. Your cloud account from day one: We never build in a black-box agency staging environment. Every Git repository, Cloud Build / GitHub Actions pipeline, and Terraform module is deployed inside your own Google Cloud organisation from week one.
2. Parallel proof over blind faith: On modernisation programmes, we use traffic mirroring, shadow reads and Google Cloud Dual Run to prove the new service matches the old one on real production payloads before switching traffic.
3. Clean handover or lightweight SRE support: When a build finishes, your internal team gets clean code, OpenAPI specs, architecture diagrams and runbooks. If you want us to stay on the pager for patching, dependency updates and 24/7 incident response, our managed retainer starts at A$5,000 per month.