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Engineering studio

Engineeringfuture-readydigital systems.

Braynox is an engineering studio building software, AI, and digital systems for ambitious startups, enterprises, and the companies shaping what comes next.

Diagram of the Braynox stack: applications, data systems, platforms and integrations wired into a shared intelligence core.
Disciplines
Software Engineering
AI Systems
Cloud Platforms
Data Infrastructure
Product Design
Sectors
FintechHealthcareLogisticsRetailPublic sectorEdtechSustainability+ more

The studio

We are a small studio of senior engineers.

We design the system, build it, and stay on call for it.

Senior by design

No account layer, no delivery theatre, no handover to a junior bench.

Ownership in writing

The people who scope your architecture are the people who write it.

02

Capabilities

Each engagement is a small senior team, drawn from the disciplines below to fit your problem — never your retainer.

The five layers Braynox builds in. Experiences: interfaces people interact with. Applications: core products and business logic. Platforms: reusable services and components. Infrastructure: cloud, compute, network, storage. Foundation: security, reliability, observability.
01

Web Development

Scalable applications engineered with Next.js, React, and modern edge infrastructure.

02

Mobile App Development

Native iOS, Android, and cross-platform builds with React Native and Swift.

03

AI Solutions

LLM agents, RAG systems, and ML pipelines woven into production workflows.

04

Cloud Engineering

AWS, GCP, and Azure architectures designed for scale, cost, and observability.

05

UI / UX Design

Product systems, design tokens, prototypes — design that ships.

06

DevOps & SRE

CI/CD, infrastructure-as-code, and 24/7 reliability engineering.

07

Enterprise Software

Mission-critical platforms for finance, healthcare, and logistics.

08

E-commerce Solutions

Headless storefronts, payment rails, and conversion-optimized checkouts.

09

API Development

REST, GraphQL, and event-driven APIs with first-class developer experience.

10

Automation Systems

Workflow orchestration and back-office automation that compounds.

03

Selected work

Plates 01–04

Case studies are in preparation with client approval. The plates below describe the shape of recent systems; names, figures and outcomes are released per engagement.

PLATE 01Detail under NDA
Treasury operations platform: a marketing page beside its dashboard, with an intraday cash-position chart and reconciliation ledger
Fig. 01 — system shapeInterface study
FintechPlatform engineering

Real-time treasury platform

An event-driven replacement for a legacy finance system: ledger, reconciliation and reporting rebuilt as services behind a single operator console.

  • Next.js
  • Kafka
  • Postgres
  • Go
  • Terraform
PLATE 02Detail under NDA
Clinical retrieval assistant: an answer pane whose citations trace across to a highlighted passage in the source document
Fig. 02 — system shapeInterface study
HealthcareAI systems

Clinical retrieval copilot

A retrieval-grounded assistant over clinical records, with evaluation harnesses and citation traces built in from the first sprint.

  • Python
  • PyTorch
  • Vector store
  • FastAPI
PLATE 03Detail under NDA
Fleet orchestration suite: a route network with vehicles in transit, a delivery-route table, and a dispatch schedule
Fig. 03 — system shapeInterface study
LogisticsDistributed systems

Fleet orchestration suite

Routing, dispatch and telematics across a national fleet — an ingest pipeline, a scheduling core, and field applications that work offline.

  • React Native
  • Rust
  • MQTT
  • Kubernetes
PLATE 04Detail under NDA
Headless commerce stack: a storefront overview with revenue and conversion figures, a catalogue grid, recent orders and per-surface deploy status
Fig. 04 — system shapeInterface study
RetailCommerce engineering

Headless commerce stack

A migration off a hosted storefront onto an edge-rendered stack: catalogue, checkout and payments split into independently deployable surfaces.

  • Next.js
  • Stripe
  • Edge workers
  • Postgres
04

How we work

Five phases / kickoff to on-call

Kickoff in days, a working prototype inside a month, then software shipping every two weeks. Every phase ends with something you can use, not a status update.

Phase 01

Discover

We start within days of the first call — one focused workshop on your goals, constraints, and the shape of the problem. No proposal templates, no assumptions.

Week 1Problem brief
Phase 02

Strategize

Architecture, milestones, success metrics — settled in a week, not a quarter. You leave with a plan we'd both stake our reputation on.

Week 2Architecture + plan
Phase 03

Design

Design systems, prototypes, and interaction studies — a clickable prototype inside a fortnight. Engineering reviews every artifact before it leaves the room.

Weeks 3–4System + prototype
Phase 04

Engineer

Two-week increments with working software at every checkpoint. You see progress weekly and steer the build live.

Ships every 2 weeksWorking software
Phase 05

Launch & Iterate

Production launch, observability, and a continuing relationship. We stay on call until you're confident — and then some.

From day one, ongoingLive system + on-call

Connect everything,effortlessly.

We join what you already run — cloud, data, identity, payments — instead of asking you to start over. No rip-and-replace, no lock-in, no six-month discovery.

05

Stack

Four layers / current specimen

We choose boring where boring wins and new where new pays for itself. This is what is in production today.

L1

Languages & runtime

  • TypeScript
  • React
  • Next.js
  • Node
  • Python
  • Go
  • Rust
L2

Data & transport

  • Postgres
  • Redis
  • Kafka
  • GraphQL
  • tRPC
L3

Cloud & platform

  • AWS
  • GCP
  • Azure
  • Vercel
  • Cloudflare
  • Terraform
  • Kubernetes
  • Docker
L4

AI & retrieval

  • PyTorch
  • OpenAI
  • Anthropic
  • Pinecone
06

Why Braynox

Four commitments
Senior engineers only01

No juniors. No agencies-of-agencies.

Every line of your code is written by someone with a decade of production experience. The seniority is the product.

AI-first by default02

Intelligence baked in, not bolted on.

We architect for retrieval, agents, and inference from day one — your product compounds as the models do.

Shipped on schedule03

We are an engineering studio, not a roadmap.

Two-week increments, working software at every milestone, and a calendar you can trust.

24/7 after launch04

We stay until it runs.

On-call SRE, observability, and a relationship that begins — not ends — at launch day.

The brief07

Tell us whatyou're building.

IdeasProductsReal impact

Send the problem, not a specification. We'll come back with the questions that matter and an honest read on whether we're the right studio for it.

Built to solve
what matters

Let's build
what's next

08

Start a project

Send the problem, not a spec

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sales@braynox.net
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Engagements
Retained or fixed scope