TypeScript
Strict typing across apps and APIs so large codebases stay refactorable and reviewable.
Engineering stack
The technologies behind our work
A production-grade stack — typed frontends, resilient backends, cloud-native delivery, and AI systems we wire into real programmes.
Frontend
06
React
Component architecture we share between marketing sites, dashboards, and client portals.
Next.js
App Router, server components, and edge-ready rendering for fast bilingual public sites.
Flutter
Production mobile clients for field programmes — offline-tolerant on iOS and Android.
Three.js
WebGL scenes when a product story needs real spatial presence, not a static mockup.
GraphQL
Typed contracts between clients and services so UI teams fetch exactly what each screen needs.
Backend
06
Laravel
Our core API stack: policies, queues, Eloquent, and Sanctum for enterprise modules.
NestJS
Structured Node services when a programme needs event-driven TypeScript on the server.
Go
High-throughput workers and gateways where latency and concurrency matter.
PostgreSQL
Relational integrity, JSONB flexibility, and extensions like pgvector for AI retrieval.
Redis
Caching, rate limits, and queues that keep public forms and APIs responsive under load.
gRPC
Binary service-to-service contracts for internal microservices that must stay fast and typed.
Cloud and infrastructure
05
AWS
Object storage, managed databases, and isolated environments for production programmes.
Docker
Identical runtimes from a developer laptop to staging and production.
Kubernetes
Orchestration when a product needs rolling deploys, autoscaling, and clear service boundaries.
Terraform
Infrastructure as code so environments are reproducible and reviewable like application code.
Cloudflare
Edge DNS, WAF, and CDN in front of public sites and APIs.
AI and data
04
Python
The glue for data jobs, model tooling, and automation around operational systems.
PyTorch
Custom model work when off-the-shelf APIs are not enough for programme-specific signals.
OpenAI
LLM APIs for assistants, classification, and document workflows wired into real products.
LangChain
Orchestration for retrieval, tools, and multi-step agents on top of client data.
We pick tools for long-term ownership: the same stack we operate, monitor, and still understand a year after launch.