Case Studies
Real engagements. Real outcomes.
See how Zenaide has helped engineering teams staff critical roles, deliver complex projects, and build managed operations — with measurable results.
Cloud Migration Acceleration for a Mid-Market SaaS Company
The Challenge
A mid-market SaaS provider needed to migrate their legacy on-premise infrastructure to AWS within a hard 4-month deadline driven by a data center lease expiration. Their internal DevOps team of three engineers was fully committed to production operations and couldn't take on a migration of this scope. They needed a partner who could own the migration plan, provide the engineering capacity, and deliver on time — without disrupting production.
The Solution
Zenaide assembled a 5-person managed project team: 1 Cloud Architect (migration planning and design), 2 Cloud Engineers (execution and build-out), 1 DevOps Engineer (CI/CD pipeline migration and IaC), and 1 Project Manager (coordination and reporting). The team was assembled and onboarded within 3 weeks. Using an agile delivery approach with 2-week sprints, they migrated 47 services across 12 environments — including database migrations, networking redesign, and CI/CD pipeline refactoring. Throughout the engagement, the Zenaide team provided weekly status reports and biweekly stakeholder demos.
The Results
“We needed a team that could own this migration completely. Zenaide delivered a team that understood our architecture, moved fast, and handed off a production environment that was actually better than what we started with.”
Production ML Team Assembled in 3 Weeks for GenAI Product Launch
The Challenge
A Series C enterprise software company had committed to launching an AI-powered document processing feature by the end of the quarter. Their internal engineering team had strong product and backend capabilities but zero production ML experience — no one who could build training pipelines, optimize inference latency, or deploy models to production. With 10 weeks to launch, they needed a full ML team immediately.
The Solution
Zenaide staffed a 4-person ML team within 3 weeks: 1 Senior ML Engineer (model architecture and training pipeline), 1 NLP Engineer (document understanding and extraction), 1 MLOps Engineer (inference infrastructure, CI/CD for models, monitoring), and 1 AI Engineer (LLM integration, RAG pipeline, and prompt engineering). All four had verified production ML experience and were placed on contract-to-hire terms. The team integrated with the client's existing engineering org and worked in their sprint cadence from day one.
The Results
“We went from having no ML capability to shipping a production AI feature in under three months. Zenaide didn't just send us resumes — they sent us engineers who understood the difference between a demo and a production system.”
More case studies in progress.
We\u2019re documenting additional client engagements across AI/ML staffing, managed services, and project delivery. Contact us to discuss outcomes relevant to your situation.
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