Cloud · DevOps · AI/ML · Mobile · QA
Engineering that ships, scales and keeps running.
We engineer cloud platforms on AWS and Azure, automate delivery with DevOps and CI/CD, bring AI/ML into real applications, and build mobile apps and enterprise software, with quality assurance built into every release.
The challenge
Slow releases and fragile systems hold the rest of the business back.
Applications run on infrastructure nobody wants to touch. Releases are manual and infrequent, testing happens at the end, and every change carries risk. Meanwhile, teams wait on mobile access, AI pilots stall before production, and critical processes still run on spreadsheets and email.
Adding tools rarely fixes it. What works is engineering discipline end to end: cloud platforms designed for how you operate, automated pipelines with quality checks at every step, and software shaped around the actual process and connected to the systems that hold your data.
Who this is for
CIOs, CTOs and IT leaders
Cloud platforms and software that are secure, supported and cost-aware.
Engineering and product leaders
Faster, safer releases through automation and built-in testing.
Operations and department heads
Applications and mobile tools that fit how the work is actually done.
Data and analytics teams
A path from AI/ML models to applications people use every day.
What we deliver
Services and capabilities
Enterprise technology solutions, one capability at a time or combined: from a cloud migration or a test automation program to a complete custom application.
Cloud strategy and engineering
Cloud platforms on AWS and Azure, planned around your workloads and engineered to be secure, resilient and cost-aware.
- Cloud strategy, readiness assessment and roadmap
- Architecture and landing zones on AWS and Azure
- Migration and modernization of existing applications
- Security, access and cost controls built in
DevOps and CI/CD automation
Build, test and release automated end to end, so changes ship more often with less risk.
- Continuous integration and delivery pipelines
- Infrastructure as code and repeatable environments
- Automated quality and security checks in every pipeline
- Monitoring, alerting and release practices
AI/ML enablement
AI and machine learning moved from pilot to production, inside the applications and workflows people already use.
- Use-case selection and feasibility
- Data pipelines and cloud environments for model development
- AI/ML capabilities built into applications and workflows
- Responsible-AI controls with our AI Governance practice
Mobile development
Mobile apps that give customers, staff and field teams secure access to the services and data they need.
- Mobile app design and development
- Secure connections to enterprise systems and workflows
- Testing across devices and screen sizes
- Release, monitoring and ongoing updates
Quality assurance engineering
Testing built into delivery from the first sprint, so defects are found by your pipeline, not your users.
- Test strategy and planning
- Functional, regression and integration testing
- Test automation within CI/CD pipelines
- Performance and load testing
Custom applications and workflow automation
Business applications, digital forms and workflows built around your processes, for the work packaged software doesn't fit.
- Requirements, process mapping and solution design
- Application design and development
- Digital forms, approval routing and automated workflows
- Role-based access and audit trails built in
System and data integration
Databases, cloud services, on-premises systems and Adobe applications connected, so data moves without re-keying.
- Integration across databases, cloud services and on-premises systems
- Connections between Adobe Experience Cloud applications and enterprise systems
- Real-time access where decisions depend on it
Custom development on Adobe platforms
Adobe Experience Cloud applications extended where standard features stop, built to stay maintainable.
- Adobe Experience Manager custom development
- Adobe Commerce implementation, customization and platform migration
- Customization of Adobe Experience Platform and Marketo Engage
Our product · Information Governance & Records
Public sector and enterprise records management.
MapleRecord, designed and built by Maverick InnoGarage, is customized records management software for government, municipalities and regulated organizations, with workflow automation, a seamless user experience and lifecycle governance. Five integrated modules cover electronic and physical records, information requests, workflows, forms and administration. With MOLI, it is one of our two Information Governance & Records products. We build it with the same engineering practices we bring to client work.
Product screens show sample data.
From vision to victory
Three stages, one accountable team
Each stage ends with something tangible you can review, use and build on. What you keep is listed under What you receive, further down this page.
- 01
Understand & strategize
Review your applications, infrastructure, release process and the problem to solve, then agree the target architecture and what the first release must do.
- 02
Implement & integrate
Build, migrate and integrate in short iterations, with automated pipelines and testing from the start, and release with minimal disruption.
- 03
Optimize & grow
Monitor performance, reliability and cost, fix issues, and add enhancements as your needs and platforms change.
Deliverables
What you receive
Practical outputs your teams can use, run and maintain.
Assessment and roadmap
Where your applications and platforms stand today, and a prioritized path forward.
Target architecture
How the cloud platform, applications and integrations fit together, and who can access what.
Working software and platforms
Built, tested and released, with access controls and audit trails where they matter.
Automated pipelines
Repeatable build, test and deployment, with quality checks at every step.
Test assets
Test plans, automated test suites and results your teams can keep running.
Documentation and support
Plain-language guides, a handover for your teams, and an agreed way to resolve issues.
Practical applications
How this work applies in practice
These are illustrative scenarios that show typical situations and approaches. They are not descriptions of specific client projects.
FAQ
Frequently asked questions
Which cloud platforms do you work with?
AWS and Azure. We plan, build and migrate workloads on either, and connect them to the on-premises and cloud systems you already run.
What does quality assurance engineering cover?
Test strategy and planning, functional, regression and integration testing, and test automation inside your delivery pipelines. We build testing into delivery from the start, whether we are building the software or testing software your teams build.
Do you build mobile apps?
Yes. We design and build mobile apps for customers, staff and field teams, connect them securely to your enterprise systems, and test them across the devices your users have.
How does AI/ML enablement relate to your data and AI governance work?
AI/ML depends on well-governed data and needs clear rules for responsible use. Our engineering teams build the pipelines, environments and application features; our Data & Analytics and AI Governance practices cover the data foundations and the controls around them.
Do you build from scratch, or extend what we already have?
Both. Where a platform you already run covers most of the need, we configure, customize or integrate it. Where it doesn't, we build. We agree which approach fits during scoping, before any build starts.
Should we build custom software or use MapleRecord?
If the need is records management, information requests, records workflows or forms, MapleRecord may already cover it, and configuring it is usually faster than building. If the process is specific to your organization, custom software may fit better. We'll tell you plainly which one makes sense.
Connected expertise
Explore related services
- Information Governance & RecordsRecords lifecycle, retention and privacy compliance support, with MapleRecord and MOLI
- Data & AnalyticsData strategy, governance, modern data architecture, data science and visualization
- AI GovernanceResponsible AI, AI risk management and compliance support
- MarTech & Adobe Experience CloudCustomer data, content, personalization, analytics, marketing automation and commerce on Adobe
- Experience DesignUser research, service design, design thinking, content and CX optimization
- Digital & ProductDigital strategy, product vision, product development, go-to-market and agile delivery
- Business Transformation & CRMProcess optimization, change enablement, program management and Microsoft Dynamics 365
- All servicesCore expertise and all seven practice pillars, in one place.
Start a conversation
Tell us what you need to build or modernize.
Describe the application, platform or process involved. We'll scope a practical first release with you.