Embedded engineering expertise
Add cloud, software, data or AI specialists to your existing team.
YOUR GOOGLE CLOUD TEAM
Engineering talent & delivery teams
Build engineering capacity with Cloudypedia through embedded engineering expertise, dedicated teams or scoped projects across cloud, software, data and AI.
Discuss this service ↗Dedicated team
Build a focused delivery team with agreed responsibilities and delivery cadence.
End-to-end delivery
Entrust a defined project to Cloudypedia, from discovery to delivery and handover.
From first conversation
to lasting capability.
Discover & assess
Understand your business, workloads and priorities. Agree the outcomes and the route to achieve them.
Design & build
Create the foundations, migrate and modernize, with security and governance built into delivery.
Operate & improve
Establish reliable operations, measure performance and continuously optimize your environment.
Enable your people
Transfer knowledge and build the skills your teams need to own the next chapter.
What the engagement can deliver
A role and skills plan aligned to your cloud, software, data or AI backlog.
A delivery model with clear technical leadership, reporting and day-to-day ownership.
Documented work, code review, knowledge transfer and an agreed handover or continuation plan.
Agree the scope before we start
Choose embedded engineering expertise when your team directs the work, a dedicated team for a shared delivery roadmap, or a scoped project with agreed deliverables and acceptance. Availability, location, time-zone overlap, intellectual property, security access and commercial terms are agreed before onboarding.
What to bring to the first conversation
Your priority backlog, required skills, preferred working model, delivery constraints and the person accountable for acceptance.
Questions about this service
Who owns delivery decisions and acceptance?
The engagement defines the customer product owner, Cloudypedia delivery lead, engineering responsibilities and acceptance criteria. Ownership follows the chosen delivery model.
What should we prepare for the first conversation?
Your priority backlog, required skills, preferred working model, delivery constraints and the person accountable for acceptance.
Forward-deployed AI engineers. Working alongside your team.
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.
Understand the work
Map the workflow with the people who run it. Choose a use case, establish a baseline and agree what a useful result looks like.
Build in your environment
Connect approved data, integrate AI with existing applications and test quality, security, latency and cost with your teams.
Make it useful in production
Roll out with human review, monitoring and clear ownership. Transfer knowledge and improve against agreed measures.
AI transformation, grounded in your industry
Manufacturing & logistics
Explore knowledge assistants for maintenance teams, document processing and exception triage across supply-chain workflows.
Retail & consumer businesses
Connect product knowledge, customer support and merchandising workflows with AI that fits your operations.
Financial & professional services
Explore document review, research and internal knowledge retrieval with permissions and traceable sources.
Public services & education
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 this service ↗Make the next conversation useful.
Bring the business outcome, current environment and constraints. We can then define a suitable assessment, implementation or ongoing service.
Business sponsors
Agree the intended outcome, users, priorities and how the work will be accepted.
Technical teams
Review architecture, integrations, data access, security and operational ownership.
Procurement teams
Confirm scope, contracting entity, licensing route, commercial terms and support responsibilities in the proposal.
What shapes your 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.
