Projects we take on — delivered end to end
Four ways to work with Corzlabs, all project-shaped: we scope it, we build it, we hand it over running. Language and framework are chosen per project — we are not selling a single stack, and we are not renting you headcount.
Send the problem and the constraints. You get a written spec, a milestone plan and a fixed price before any work starts.
Web & mobile product builds
You bring the problem; we deliver the working product. Spec, architecture, build, deploy — with a fixed scope and a price agreed before we start.
- Web applications, dashboards, customer portals
- iOS and Android apps from one codebase
- APIs, integrations and background processing
- Any language or framework your team already runs
SaaS product engineering
Multi-tenant platforms built to be sold: accounts, roles, billing, onboarding and the admin tooling that keeps support tickets down.
- Multi-tenant architecture and data isolation
- Subscriptions, plans, invoicing and usage metering
- Self-serve onboarding and admin consoles
- Integrations, webhooks and public APIs
AI features and internal automation
Practical AI in production: document and clinical text processing, assistants over your own data, and the automation that removes manual work from your operations.
- Document, medical and financial text pipelines
- Assistants grounded in your own data
- Evaluation and safety before anything goes live
- Back-office automation and reporting
Maintenance & feature retainers
A monthly capacity block for the work nobody on your team has time for: fixing bugs, upgrading frameworks, shipping small features and keeping deploys boring.
- Response SLA agreed in writing
- Dependency, framework and security updates
- Monitoring, backups and deploy upkeep
- Works on whatever the codebase is written in
Who ends up on your project
Technical Deep-Dive
A live session on real work: data modelling and query design, API and state architecture, and how the candidate reasons about a feature they have never seen — in whatever language they claim.
Live Code & Design Review
Pair-review of production code or a design file, including how they use AI tools: which parts they delegate, what they verify, and whether the output would survive review.
Ownership & Communication
Written async communication, PR clarity, estimation honesty and how they handle being wrong. This is where most senior candidates still fail.
Backend & Systems
APIs, data, integrations, scaleScreens on schema and query design, service boundaries, queueing and failure modes — reviewed on real production code.
Frontend & Mobile
Web and native product surfacesScreens on component and state architecture, accessibility, render performance and release flow across web, iOS and Android.
Product Design (UI/UX)
Product surfaces, design systemsScreens on design-system thinking, handoff quality, accessibility and research-backed decisions.
We take the project, not the seat
You are buying a delivered outcome, not headcount. Every project starts with a scoping call, a written spec and a fixed milestone plan, then runs as two-week sprints with a demo you can click at the end of each one. The repository, pipeline and IP are yours from day one.
AI & Data Engineering
A live design session on taking a model from notebook to production behind an API, including the evaluation and fallback story.
Backend & Systems
A live session on schema and query design for a feature they have not seen, then a pair-review of production code in whatever language they claim.
Frontend Engineering
A live build of an accessible, data-heavy screen from a mock, plus a review of a codebase they have worked in.
Full-Stack Product
A scoped feature from spec to working code in a live session — schema, endpoint, UI and the tests around it.
Mobile Engineering
A live session on offline behaviour and sync conflict handling, plus a walkthrough of an app they shipped to both stores.
Platform & DevOps
A live walkthrough of a production incident they owned, then designing the pipeline and environment layout for a service from scratch.
Product Designer (UI/UX)
A live re-scope of a broken flow with the reasoning shown, followed by a portfolio review focused on what changed after shipping.
Everyone on the team builds with AI in the loop — scaffolding, test generation, refactors, documentation. That is where the speed comes from. What it does not replace is judgement: nothing generated reaches your main branch without a human review, tests on the paths that matter, and a written rationale in the pull request.
- AI for scaffolding, test generation, refactors and documentation
- Human review on every merged change, by a second engineer
- Automated CI gates: lint, types, tests, build
- Quality bar unchanged — only the delivery speed moves