Zepla Labs builds, manages, and supports software for clients, and helps you hire and build your own engineering team from Sri Lanka's top talent. One team, held to the same bar on everything it ships.
Build, manage, support
Service delivery
Client products & teams
Sri Lanka
Engineering talent
Hire & build your team
Embedded
Engagement model
Direct & accountable
AI-assisted
Engineering practice
Built into delivery
Traditional outsourcing hands off work and disappears after launch. Zepla Labs embeds a dedicated engineering team inside your organisation to build new software, and stays on to manage and support what you already have in production. Your team is accountable, your institutional knowledge stays in-house, and the same engineering discipline carries over from our own products to yours.
Engineers, QA, and a tech lead sourced from Sri Lanka's top engineering talent and assembled around your stack, not a generic bench.
Your team operates inside your tools, your standups, and your codebase, not as a parallel team handing work over a wall.
The same team building your software also ships our own consumer products, so decisions are shaped by direct product ownership, not theory.
Every engagement is led by the founders directly, not relayed through account managers.
Select a stage to see how we approach it.
We start by understanding your product, constraints, and goals, and turn that into a scoped plan before any code is written.
Data model, system boundaries, and integration points are decided up front, so the build phase isn't guesswork.
Iterative delivery in short cycles, with code reviewed and tested as it ships, not bundled into one release at the end.
Automated tests and manual review happen before anything reaches production, not as an afterthought bolted on later.
Every feature ships with a clear owner. After release, engineers stay alert to issues on what they shipped, so problems get caught and fixed quickly.
AI tooling runs through our own delivery, from accelerating implementation to automating repetitive engineering work, and we bring that same practice to integrating AI into your product.
Built around the best engineering talent in Sri Lanka, led by founders who still ship code.
New software and products built for clients end to end, from initial architecture through to production.
Ongoing management, maintenance, and support for products you already have in production.
Hire and build your team in Sri Lanka. Embedded engineers who work inside your organisation, your codebase, and your standups.
The same end-to-end discipline we apply to client work, applied to our own line of consumer products.
R&D and practical adoption of AI in your existing products and workflows.
We learn your product, constraints, and goals before writing a line of code.
Architecture and UX decisions made up front, so nothing ships on guesswork.
Iterative delivery in short cycles, with visibility into progress throughout.
Deployed, monitored, and handed over cleanly, or run by us long-term.
Ongoing maintenance and iteration after launch, not a one-off handoff.
Traditional outsourcing loses context. Staff augmentation loses accountability. Zepla Labs retains both: your team is embedded and accountable, and institutional knowledge stays inside your organisation.
The team stays. Knowledge compounds. You don't re-onboard every quarter.
Your team is embedded in your org chart, your standups, and your culture, not reporting through a vendor portal.
Zepla Labs leadership is personally accountable for engineering quality, not an SLA in a contract addendum.
We design for maintainability from day one, so what we hand over is something your team can actually own.
Combined decades of engineering and business-analysis experience, applied directly to every engagement.
Co-Founder
15+ years in software engineering, as a developer, architect, and product manager.
Education
Co-Founder
15+ years of Business Analytics experience.
Education
Co-Founder
8+ years in software development.
Education
Whether it's a client project, a dedicated team, or something in between, we'd like to hear about it.