Fullstack Development
Senior fullstack developers — Elixir/Phoenix as our first choice, also React and Next.js. 6+ years of production experience building real-time systems, AI platforms, and scalable backends that stay simple to operate and easy to change.
Talk to us about your project →Why Elixir?
Elixir runs on the BEAM — the same virtual machine that powers telecom systems handling millions of concurrent connections. For products that need real-time communication, fault tolerance, and high concurrency, it's the best tool available.
Concurrency without complexity
Each user session, agent conversation, or background task runs in its own lightweight process. Hundreds of thousands of them on a single machine — no threading nightmares, no Redis for state.
Fault tolerance by design
Elixir's "let it crash" philosophy means individual failures don't cascade. Supervisor trees restart failed processes automatically. Your system stays up even when external APIs go down.
Real-time with no extra infrastructure
Phoenix LiveView pushes server-rendered HTML over WebSockets. No separate frontend framework, no API serialization layer, no client-side state management bugs. Just fast, reactive UIs.
What we build with Elixir
Real-time web applications
Dashboards, chat systems, collaborative tools, and live data feeds built with Phoenix LiveView. Server-rendered, reactive, and fast — without the complexity of a JavaScript frontend.
AI agent platforms
Long-running LLM conversations, parallel tool execution, streaming responses — all natively supported by the BEAM. We built an entire AI orchestration platform in Elixir.
Scalable APIs & backends
REST and GraphQL APIs backed by Ecto and PostgreSQL. Composable queries, schema validation, transactional background jobs with Oban. Production-ready from day one.
Umbrella applications
Multiple Phoenix apps in one repository with clear boundaries. Shared database, shared deployment, independent supervision trees. A monolith that's easy to split later if needed.
Case study: Towar.ai
We built a production AI agent orchestration platform entirely in Elixir and Phoenix — from first commit to live users in 2.5 months, with two developers.
The problem
Organizations need AI agents that don't just answer questions — they need agents that run continuously, execute on schedules, react to events, use tools, maintain memory, and collaborate in teams. Existing solutions were either too simple (chatbot wrappers) or required deep infrastructure knowledge to deploy.
What we built
Agent Builder — create and configure agents with model selection, tools, system prompts, and execution strategies (ReAct, Plan & Execute)
Responsibilities System — agents run on cron schedules, react to signals/events, and execute multi-step tasks autonomously
Persistent Memory — agents learn from interactions via semantic search (pgvector) with org/project/user scoping
Full Debugger — inspect every session, turn, tool call, and LLM request with token breakdowns and cost tracking
Eval Framework — case-based testing with LLM-as-judge scoring and Braintrust experiment reporting
MCP Server — external clients connect to agents programmatically via the Model Context Protocol
Why Elixir was the right choice
Each agent session runs in its own BEAM process — cheap, isolated, supervised. When an agent needs to call three tools in parallel, stream to the UI, and log to Braintrust simultaneously, that's native Elixir. The entire platform (13 BEAM applications, WebSocket connections, background jobs, MCP server) runs on a single Fly.io VM with 1GB of memory.
5 umbrella apps · 349 merged PRs · 4,819 commits · Full LiveView UI — no JavaScript framework
Read the full technical deep dive →The Elixir stack we work with
Ready to build with Elixir?
Whether you're starting a new Elixir project, migrating to Phoenix, or need senior Elixir developers to join your team — we'd love to hear about it.