Product & software engineering
Requirements, UI/UX, frontend, backend and mobile development, with architecture designed around your users and business process.
Design, build and modernize software with cloud-native architecture, considered user experiences and repeatable delivery pipelines.
Discuss your application ↗Requirements, UI/UX, frontend, backend and mobile development, with architecture designed around your users and business process.
Refactor and deploy applications using containers, Kubernetes and serverless services, based on workload requirements.
Automated testing and deployment, separated development and production environments, and clear release and rollback practices.
Explore the capabilities, methods and practical resources for your project. Scope, licensing, timing and support are agreed with your Cloudypedia team.
SMBs taking advantage of the Google Cloud tools and technologies to grow and transform industries
Small and Medium Businesses that are looking to transform thier customer experience quite often need to develop applications and utilize modern agile platforms.
Cloudypedia is a Google Cloud Application Development specialized partner. By earning the Partner Specialization, Cloudypedia has proven their expertise and success in building customer solutions in the Application Development field using Google Cloud Platform (GCP) technology.
We take care of your Kubernetes project including the containerization, setup Kubernetes clusters to setting up contentious development and integration CI/CD . Details here
An end to end Application development services on top of Google Cloud. We turn user stories into a modern,secure application.Details here
Cloudypedians bring cloud, data and AI engineering into the way your business works. Our forward-deployed AI engineers work alongside your domain experts, connect to the systems you use and build practical solutions from discovery through production.
Map the workflow with the people who run it. Choose a use case, establish a baseline and agree what a useful result looks like.
Connect approved data, integrate AI with existing applications and test quality, security, latency and cost with your teams.
Roll out with human review, monitoring and clear ownership. Transfer knowledge and improve against agreed measures.
Explore knowledge assistants for maintenance teams, document processing and exception triage across supply-chain workflows.
Connect product knowledge, customer support and merchandising workflows with AI that fits your operations.
Explore document review, research and internal knowledge retrieval with permissions and traceable sources.
Help teams find guidance, handle requests and support learning, with accessible experiences and appropriate human oversight.
We agree data access, domain requirements, evaluation, human oversight and production responsibilities with your team.
Discuss your application ↗Bring the business outcome, current environment and constraints. We can then define a suitable assessment, implementation or ongoing service.
Agree the intended outcome, users, priorities and how the work will be accepted.
Review architecture, integrations, data access, security and operational ownership.
Confirm scope, contracting entity, licensing route, commercial terms and support responsibilities in the proposal.
Workload complexity, dependencies, data location, delivery responsibilities and operating needs determine scope and timing. Licensing, billing currency, taxes, payment terms and support coverage are confirmed for the relevant market and agreement.
Share the outcome you need, your current environment and your market. We will help agree a useful next step.
Let’s talk