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Apoliums
Code and infrastructure dashboards open across a developer's screens

Technologies

Thestackbehindwhatweship.

These are the tools Apoliums uses most, and the reason each one is on the list. Nothing here is a package deal — the choice follows what the system has to do, what your team can maintain, and how long it has to keep running.

Frontend
React · Next.js · TypeScript
Backend
Node · Express · Python
Data
PostgreSQL · MongoDB · Redis
Cloud
AWS · Vercel · Docker
01

Frontend

The part your customers judge you on. Rendered on the server where speed and search matter, interactive where the work happens.

  • React

    The component model everything else is built around. Large hiring pool, long support horizon.

  • Next.js

    App Router for server components, streaming and route-level caching — pages that arrive as HTML rather than as a loading spinner.

  • TypeScript

    Types across the whole stack, so a renamed field breaks the build instead of a customer's screen.

  • Tailwind CSS

    A token-driven design system in the markup. Consistent spacing and colour without a stylesheet nobody dares delete.

02

Backend

Where the business rules live. Chosen for the work: Node when the team is already in TypeScript, Python when the work is data or models.

  • Node.js

    One language across client and server, and the same types shared between them.

  • Express

    A thin, explicit HTTP layer for services that need routing and middleware without a framework's opinions.

  • Python

    For data pipelines, model-adjacent work and anything that has to sit near a scientific library.

  • REST and GraphQL

    REST by default with a documented error catalogue; GraphQL when many clients need different shapes of the same data.

03

Mobile

One codebase, both platforms, native where it has to be.

  • React Native

    iOS and Android from a single codebase, with native modules written when a feature needs the platform directly.

  • Offline and sync

    Queued writes and conflict handling designed in, because a phone's network is unreliable by default.

  • Secure device storage

    Credentials in Keychain and Keystore, never in plain app storage.

  • Store releases

    Signed builds, staged rollouts, and API versioning that keeps older installed versions working.

04

Databases

The decision that outlives every screen. Relational unless there is a reason, cached where reads are hot.

  • PostgreSQL

    The default. Constraints, transactions and indexes doing the work the application should not have to repeat.

  • MongoDB

    Where documents genuinely vary in shape and joins are not the access pattern.

  • Redis

    Caching, rate limits, sessions and job queues — with invalidation planned rather than hoped for.

  • Vector storage

    pgvector alongside the primary database, or a dedicated store when retrieval volume justifies it.

05

AI

Models are one component in a system. The engineering around them — retrieval, evaluation, cost control, fallback — is what makes them usable.

  • OpenAI and Anthropic

    Provider choice made per task on cost, latency and output quality, behind an interface that lets either be swapped.

  • LangChain

    Used where orchestration earns it, not as a default wrapper around a single API call.

  • RAG

    Chunking, embedding and retrieval tuned against your own documents, with answers traceable to the source passage.

  • Evaluation

    A test set and a scoring loop before launch, so a prompt or model change is measured rather than guessed at.

06

Cloud and delivery

The same steps for every environment, so releasing on a Friday is a non-event.

  • AWS

    Compute, storage, managed databases and queues for systems with compliance, residency or scale requirements.

  • Vercel

    For Next.js applications where edge delivery and preview deployments per branch matter more than infrastructure control.

  • Docker

    Multi-stage images so development, staging and production run the same artefact.

  • CI/CD

    Types, linting and tests on every push; migrations gated; rollback documented before the first deploy.

How we choose

Four rules that keep the list short.

Boring beats novel
We choose tools with long support horizons and enough engineers in the market to hire. A stack that is exciting now and unstaffable in three years is a cost we would be handing you.
Fewer moving parts
Every service, queue and third-party account is something to monitor, patch and pay for. We add one when the alternative is worse, not because a diagram looks better with it.
Your accounts, your keys
Cloud, repository, domains and vendor accounts belong to you from the first commit. Nothing we set up should depend on us still being involved.
The stack follows the problem
None of this is a package. If your team already runs Django or .NET and the work belongs there, we say so rather than proposing a rewrite you did not ask for.
The Apoliums engineering floor in Indore during a working day

Next step

Not sure which of this your project needs?

Describe what the software has to do. We will tell you which parts of this list apply and which are overkill.

Studio
Indore, Madhya Pradesh
Reply time
One working day