The stack is the strategy.

Most agencies sell the one framework they know. We run 69+ production tools across 8 layers and choose per problem, so the stack fits your product instead of our habits.

AI & LLM

Model-agnostic: we pick per task on cost, latency and data rules, and keep a swap path.

  • Claude
  • OpenAI
  • Gemini
  • Llama
  • Mistral
  • LangGraph
  • Vercel AI SDK
  • pgvector
  • Qdrant
  • MCP servers
  • Promptfoo evals

Web

Server-first frameworks that ship less JavaScript and score green on Core Web Vitals.

  • Next.js
  • Astro
  • React
  • TypeScript
  • Tailwind CSS
  • Remix
  • Vue / Nuxt
  • GSAP
  • three.js

Mobile

One codebase where it fits, native where it matters, over-the-air fixes in hours.

  • Flutter
  • React Native
  • Expo
  • Swift / SwiftUI
  • Kotlin / Compose
  • Shorebird
  • EAS Update
  • Firebase

Backend & data

Boring, proven databases; typed APIs; queues for anything slow.

  • Node.js
  • Python / Django
  • FastAPI
  • Go
  • PostgreSQL
  • Supabase
  • Redis
  • ClickHouse
  • Drizzle
  • GraphQL

Cloud & edge

Edge by default for speed; containers when workloads need them; infrastructure as code always.

  • AWS
  • Google Cloud
  • Azure
  • Cloudflare Workers
  • Vercel
  • Docker
  • Kubernetes
  • Terraform

Delivery pipeline

Every commit is built, tested, scanned and previewable before a human reviews it.

  • GitHub Actions
  • Preview deploys
  • Playwright
  • Vitest
  • Sentry
  • OpenTelemetry
  • Grafana
  • Feature flags

Commerce & payments

Payment rails for each market we serve.

  • Shopify
  • WooCommerce (headless)
  • Medusa
  • Razorpay
  • Stripe
  • UPI
  • PayNow
  • FPX

XR & 3D

Where Enarges started in 2018, and still ship today.

  • Unity
  • WebXR
  • three.js
  • Blender
  • Vision Pro
  • Meta Quest
  • 8th Wall

How we choose

Boring where it counts

Databases, auth and payments use proven tools with long support windows. Novelty goes where it earns its keep: interfaces, AI features, performance.

Measured, not trendy

Every stack choice in a proposal names the reason: cost, latency, hiring pool, licence or a client constraint. If we cannot name one, we pick the simpler option.

Portable by default

Infrastructure as code, containers or edge functions, and open formats. You can move hosts or vendors without a rewrite.

One owner per layer

Each layer has a named engineer who answers for it in production, not just in the demo.

Questions buyers ask us

Something else? Ask us directly. First reply within 4 hours.

Do you only use the tools on this page?

No. This is what we ship with most often. If your product already runs on another stack, such as PHP/Laravel, .NET or Java, we work inside it rather than forcing a rewrite.

Which AI models do you use?

We are model-agnostic. We benchmark Claude, OpenAI, Gemini and open models such as Llama and Mistral on your data, then choose on quality, cost, latency and data residency. We keep an abstraction so you can switch later.

Flutter or React Native?

Flutter when the product is design-heavy and needs identical behaviour across platforms; React Native with Expo when the team or codebase is already React. Native Swift or Kotlin when the app depends on deep device features.

Can you take over an existing codebase?

Yes. We start with a one-week audit of code, infrastructure, security and delivery, then hand you a written report and a plan before changing anything.

Bring us the hard technical question.

Send a short brief. You get a written proposal with scope, stack, timeline and a fixed price within 48 hours.