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Rexus Studio
Services

Four ways we build software that fits your business.

From a marketing site to an AI-integrated operations platform, we cover the whole system — strategy, design, engineering, and delivery under one accountable team, not handed off between vendors.

01

Custom websites & web applications

From a marketing site to a full product: a marketing or business website, a customer-facing web app, or the whole spectrum in between — architecture, backend, frontend, and the critical parts that connect them.

What's included

  • Marketing and business websites: fast, accessible, SEO-ready pages with a content model your team can edit.
  • Web applications: authenticated, data-backed products with real workflows, roles, and permissions.
  • API and backend design: the data model, services, and integrations the product runs on.
  • Frontend engineering: responsive, accessible interfaces built on a reusable component system.
  • The connective tissue: auth, payments, search, file handling, and third-party integrations done right.

How it's delivered

  • We design the data model and system shape before we write feature code.
  • We ship in working increments you can use, with tests on the parts that matter.
  • We deploy to production infrastructure and hand over a system, not a prototype.
02

AI integrated into systems

LLMs embedded where they create leverage: scoring, prediction, extraction, and copilots inside the tools your team already uses — not bolt-on chatbots.

What's included

  • Document and data extraction: turn unstructured input into structured records your systems can act on.
  • Scoring and prediction: rank, classify, and forecast inside the workflows where decisions get made.
  • Copilots in-context: assistive features built into the screens your team already works in.
  • Retrieval over your own data: answers grounded in your documents and records, not the open web.
  • Evaluation and guardrails: prompts and outputs you can measure, test, and trust in production.

How it's delivered

  • We start from the decision the AI should improve, then design the feature around it.
  • We treat models as one component of a larger system — versioned, instrumented, and testable.
  • We measure output quality before and after, so the value is observable, not assumed.
03

Internal tools & operations platforms

Replace the spreadsheets-and-email duct tape with role-based platforms your team runs the business on.

What's included

  • A unified workspace: the records, workflows, and views your operation runs on, in one place.
  • Role-based access: the right people see and do the right things, with an audit trail.
  • Workflow automation: the repetitive handoffs and status updates that eat your team's day.
  • Reporting and dashboards: the numbers leadership checks, live instead of reconciled by hand.
  • Integrations: connect the systems of record you already depend on instead of replacing them.

How it's delivered

  • We map how the business actually works — and where the current tools fail it — before designing.
  • We model the data so the platform mirrors your operation, not a generic CRM template.
  • We roll out in phases against real usage, so adoption is built in, not bolted on.
04

End-to-end delivery

Discovery through deployment, SEO, and iteration. We own the whole system, not a slice of it.

What's included

  • Discovery and architecture: the system shape, data model, and plan before the build.
  • Design and engineering: interface, frontend, backend, and infrastructure from one team.
  • Deployment and operations: production infrastructure, monitoring, and the hardening to keep it up.
  • Technical SEO: structured, fast, crawlable pages so the work gets found.
  • Iteration: we keep improving the system once it is live and earning its keep.

How it's delivered

  • One accountable team owns the outcome end to end — no finger-pointing between vendors.
  • We run the same sequence every time: discover, architect, build, ship, iterate.
  • We stay after launch to measure what shipped and improve it.
Approach

A sequence we run every time.

Five steps from understanding the business to improving the system once it's live.

  1. 1

    Discover

    Map how the business actually works and where the tools fail it.

  2. 2

    Architect

    Design the data model and system shape before feature code.

  3. 3

    Build

    Ship in working increments, full-stack, with tests.

  4. 4

    Ship

    Deploy to production infra, instrument, and harden.

  5. 5

    Iterate

    Use it, measure it, improve it.

Built with

  • Next.js
  • React
  • NestJS
  • PostgreSQL
  • Prisma
  • Tailwind
  • Vercel
  • Railway
  • Anthropic Claude

AI-native in how we build, not just what we build.

Have a system worth building?

Tell us what your business outgrew.