Summary: A venture-backed B2B SaaS company building an AI-powered supply chain platform needed to scale its engineering capacity rapidly. Local hiring was expensive and slow, and the founding team of 5 engineers couldn't keep up with the product roadmap.
Expedite Software Services built and managed a 20-person outsourced engineering team — covering full-stack development, QA, and DevOps — enabling the client to ship 3x faster and close a $15M Series A.
Grow from 5 to 25 engineers within 60 days to meet investor-mandated product milestones and Series A timeline.
Triple sprint velocity without sacrificing code quality, test coverage, or architectural consistency.
Achieve 40–50% cost savings versus US-based hiring while maintaining senior-level talent quality.
Establish a self-sufficient outsourced team covering frontend, backend, data, QA, and DevOps.
Ensure complete IP ownership with enterprise-grade NDAs, code escrow, and access controls from day one.
Demonstrate engineering scalability and delivery velocity to close the pending Series A funding round.
Node.js (NestJS), Python (FastAPI), GraphQL, PostgreSQL
React.js, Next.js, TypeScript, TailwindCSS, Storybook
Python, TensorFlow, scikit-learn, Apache Airflow
AWS (EKS, Lambda, DynamoDB, SQS), Terraform, Pulumi
GitHub Actions, ArgoCD, Docker, Kubernetes, SonarQube
Cypress, Jest, Playwright, k6 (performance), Postman
US-based senior engineers averaging $180K+ salary with 60+ day hiring cycles — incompatible with a 60-day deadline.
15 critical features needed for Series A demo — only 3 completed with the existing 5-person team after 4 months.
Rapid prototyping had created significant technical debt — no CI/CD, 12% test coverage, manual deployments.
Series A investors requiring demonstrable engineering velocity and scalability before committing $15M round.
20-person team assembled in 21 days: 8 full-stack, 4 backend, 2 data/ML, 3 QA automation, 2 DevOps, 1 tech lead.
Outsourced team embedded into client's Agile process — daily standups, shared backlog, same sprint cadence.
Dedicated sprint for CI/CD setup, test coverage improvement (12% → 78%), and architecture refactoring.
All 15 Series A demo features delivered on time — AI demand forecasting, real-time dashboards, and API integrations.
Enterprise NDAs, role-based access, code escrow, and VPN-only repository access from day one.
Weekly stakeholder demos with velocity reports, enabling real-time course corrections and investor visibility.
Sprint velocity tripled from 35 to 110 story points within 6 weeks of the outsourced team joining.
All demo features delivered on time — investors cited engineering scalability as a key factor in the funding decision.
Fully loaded engineering cost 45% lower than equivalent US-based team — saving $1.8M annually.
Automated test coverage improved from 12% to 78% — production bugs reduced by 65% quarter-over-quarter.
Full 20-person team productive and shipping code within 21 days of engagement kickoff.
Team expanded to 30 engineers in Year 2 as the client launched in 3 new markets.