Technologies We Master
One Stack, End to End
46 technologies across languages, frameworks, cloud, data and AI — the same engineers who pick the stack are the ones who ship on it.
46 Technologies
Languages to infrastructure
8 AI Tools Shipped
Built on this stack
U.S. Time Zones
Aligned, accessible teams
Production Ready
Quality built in, not bolted on
Our Technology Stack
Filter by layer to see what we work in. Every technology below links to how we staff and deliver on it.
46 technologies shown
Programming Languages
Typed, compiled and scripted languages we build production systems in.
- PythonVersatile language for web, AI, and data science
- JavaScriptEssential for modern web development
- TypeScriptType-safe JavaScript for large applications
- JavaEnterprise-grade applications and Android
- C#.NET ecosystem and game development
- GoEfficient, concurrent systems programming
- PHPServer-side web development
- RustMemory-safe systems programming
- ScalaFunctional and object-oriented JVM language
Frontend Frameworks
Component frameworks for interfaces that stay fast as they grow.
Backend & APIs
Runtimes and frameworks behind the APIs your product depends on.
Mobile Development
Native and cross-platform stacks for iOS and Android.
Cloud Platforms
Managed infrastructure across the three major clouds.
Data & Analytics
Databases, warehouses and pipelines that make data usable.
AI & Machine Learning
Models, frameworks and retrieval infrastructure for applied AI.
- PyTorchDeep learning framework
- LLaMAMeta's large language model
- MistralOpen-source language models
- CohereNLP and language AI
- Vector DatabasesSpecialized databases for AI
- LangChainFramework for composing LLM applications
- LlamaIndexData framework for retrieval-augmented generation
- PineconeManaged vector database for semantic search
DevOps & Infrastructure
Containers, orchestration and CI/CD that get code to production.
Game Development
Engines for real-time, interactive and simulation work.
Working in something not listed? Tell us your stack and we'll tell you honestly whether we can staff it.
How We Choose a Stack
Technology decisions are reversible only for so long. These are the four things we weigh before writing any code.
Fit Before Fashion
The stack follows the problem, your team's existing skills, and what you already run in production — not what is trending.
Who Maintains It
We pick technologies your team can hire for and support after we hand over, not ones that strand you with us.
Integration Reality
Most systems are not greenfield. We weigh what has to connect to legacy services, data and vendors on day one.
Cost at Scale
Licensing, cloud spend and operational load are part of the choice, evaluated at the volume you expect to reach.
From Stack Decision to Production
Challenge
The wrong stack is expensive to unpick once it is carrying real traffic.
Solution
We choose for fit, maintainability and cost at the volume you expect to reach.
Outcome
Systems your own team can run, on technologies they can hire for.
How We Deliver
- 01
Discover
Understand your goals, systems, and existing stack.
- 02
Match
Shortlist engineers with real depth in those technologies.
- 03
Build
Agile development with quality, security, and visibility built in.
- 04
Scale
Launch, monitor, and continuously improve your product.
Need Engineers in a Specific Stack?
Tell us the technology and the problem. We'll tell you who we would put on it and how quickly they can start.