Web Development
Product interfaces, dashboards, and marketing sites in Next.js and React. Server rendered, fast on real hardware, accessible by default.
- Next.js
- React
- TypeScript
- Tailwind
SkyDeck Labs
A studio built to ship
We handle everything from your first call to a system live in production, then stay on for support after launch.
SkyDeck Labs is a small senior team. You work with the people writing the code, not an account layer in front of them. Every build ships with tests, documentation, and a handover that makes sense six months later.
- 150+
- Projects delivered
- 50+
- Clients served
- 5+
- Years building
What we build
Six disciplines, one team. Most projects use three or four of them together.
Mobile Development
Cross platform iOS and Android apps on Expo and React Native, with offline first sync so the app works before the network does.
- Expo
- React Native
- Supabase
Data and Analytics
Pipelines, warehouses, and the dashboards on top of them, so the numbers your team argues about all come from one place.
- Python
- Pandas
- SQL
AI and Machine Learning
Retrieval pipelines over your own documents, computer vision, and forecasting models. Built to be explainable, not a black box.
- LangChain
- FAISS
- TensorFlow
- XGBoost
- SHAP
Backend and APIs
Services that stay correct under load, not just fast. Double entry ledgers, idempotent writes, event driven pipelines, and REST or gRPC contracts.
- Go
- Java
- C#
- Node
- PostgreSQL
- Kafka
Cloud and DevOps
One command to run the whole stack locally, and a pipeline that ships the same containers to production without surprises.
- Docker
- Kubernetes
- Terraform
- GitHub Actions
Our tech stack
Key technologies and platforms
We pick the right tool for the problem, not whatever is trending. The stack below is what we reach for first, and we will work inside yours if it already fits.
- TypeScript
- Java
- SQL
- Vue
- Redux Toolkit
- Go / gRPC
- Laravel
- LangChain
- scikit-learn
- SHAP
- MySQL
- Redis
- Kubernetes
- Nginx
- TypeScript
- Java
- SQL
- Vue
- Redux Toolkit
- Go / gRPC
- Laravel
- LangChain
- scikit-learn
- SHAP
- MySQL
- Redis
- Kubernetes
- Nginx
- Python
- C#
- Next.js
- Tailwind CSS
- Zod
- Spring Boot
- FastAPI
- FAISS
- XGBoost
- OpenCV
- SQL Server
- Kafka / Redpanda
- Terraform
- AWS
- Python
- C#
- Next.js
- Tailwind CSS
- Zod
- Spring Boot
- FastAPI
- FAISS
- XGBoost
- OpenCV
- SQL Server
- Kafka / Redpanda
- Terraform
- AWS
- Go
- PHP
- React
- Motion
- Node
- ASP.NET Core
- Flask
- TensorFlow
- Optuna
- PostgreSQL
- Supabase
- Docker
- GitHub Actions
- Vercel
- Go
- PHP
- React
- Motion
- Node
- ASP.NET Core
- Flask
- TensorFlow
- Optuna
- PostgreSQL
- Supabase
- Docker
- GitHub Actions
- Vercel
Selected work
Three builds that show the range: hard backend systems, applied AI, and interface craft.
Vault
Identity, payments, distributed systems, 2026
A C2C marketplace built around its hardest parts: an OAuth 2.0 and OIDC provider written from the RFCs, an escrow checkout on a double entry ledger, and an AI listing assistant.
- Go
- PostgreSQL
- Next.js
- Redpanda
- FastAPI
FaQ Assistant
Generative AI and RAG, 2025
Upload a PDF and ask it questions. Local embeddings and a FAISS index return exact source excerpts, so answers stay grounded in the document.
- LangChain
- FAISS
- HuggingFace
- Flask
Maravellante
Frontend engineering and design systems, 2025
A gallery style portfolio for a contemporary painter, built dependency free: a pointer tracked pill nav, magnetic buttons, 3D tilt on artwork cards, and a full light and dark design system.
- HTML5
- CSS3
- JavaScript
- View Transitions
How a build runs
Four stages, each ending in something you can read, click, or deploy.
01Discovery
We map what you actually need, what already exists, and what can be cut. You get a written scope and a fixed estimate before anything is built.
02Architecture
Data model, service boundaries, and the failure cases up front. Decisions are written down so nobody relitigates them in month three.
03Build
Weekly demos against a running environment. You see real software every week, not a status document describing one.
04Ship and support
Deployment, monitoring, and a handover your own team can read. We stay on afterwards for as long as you need us.
What clients say
Three of the teams we have shipped for.
They rebuilt our checkout in six weeks and it has not dropped an order since.
We asked for a dashboard and got an argument about our data model first. That conversation saved us a year of cleanup.
Their retrieval tool answers policy questions from our own documents, source paragraph attached.
Common questions
If yours is not here, message us on Upwork and you will get a straight answer.
What does a typical engagement cost?
Most projects are fixed price against a written scope. A marketing site or landing page starts around a few thousand dollars, a full product build runs higher. You get the number before work starts, not after.
How long does a build take?
A marketing site is two to four weeks. A product with authentication, payments, and an admin side is usually two to four months. AI work depends on your data, so discovery comes first.
Do you work with existing codebases?
Yes. A good share of our work is taking over something half built or inherited. We start with a short audit so you know what is salvageable before committing to a rewrite.
Who owns the code?
You do, from the first commit. Everything lives in your repository, on your accounts, under a licence you control. There is no lock in and no hosting we hold hostage.
What happens after launch?
We offer ongoing support covering monitoring, security patches, dependency updates, and feature work. If you would rather run it in house, the handover is written for that.
Can you build AI features into a product we already have?
Usually yes. Retrieval over your own documents, classification, and forecasting all sit alongside an existing stack. We are honest when a simpler approach beats a model.