The right tools for the problem.
We choose technology around your product, team, and constraints - not habit. These are the languages, frameworks, and platforms we work with most.
AI & large language models
Model APIs, retrieval, orchestration, and evaluation for production AI features.
- OpenAI API
- Anthropic Claude
- Google Gemini
- Open-weight models
- LangChain
- LlamaIndex
- pgvector
- Pinecone
- Hugging Face
Machine learning & data
From data preparation and training to serving models reliably.
- Python
- PyTorch
- scikit-learn
- pandas
- Jupyter
- MLflow
- Airflow
- dbt
- Apache Spark
Frontend & web
Fast, accessible interfaces for websites and web applications.
- TypeScript
- React
- Next.js
- TanStack
- Vue
- Tailwind CSS
- Three.js
- Vite
- Astro
Backend & APIs
Reliable application logic, data models, and integrations.
- Node.js
- Python / FastAPI
- Go
- GraphQL
- REST
- PostgreSQL
- Redis
- MongoDB
- Stripe
Mobile
Native and cross-platform apps for iOS and Android.
- Swift
- SwiftUI
- Kotlin
- Jetpack Compose
- React Native
- Expo
- Flutter
- Firebase
Cloud & DevOps
Infrastructure, deployment, and observability that scale with the product.
- AWS
- Google Cloud
- Microsoft Azure
- Vercel
- Cloudflare
- Docker
- Kubernetes
- Terraform
- GitHub Actions
Design & research
Tools for exploring, prototyping, and documenting the experience.
- Figma
- FigJam
- Framer
- Adobe Creative Cloud
- Rive
- Lottie
- Storybook
- Maze
Boring where it matters. Bold where it counts.
We favor proven, well-supported technology for core systems so your product is easier to hire for and maintain, and reach for newer tools when they create a real advantage for users. Every choice is explained in plain language before work begins.