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Invictt AI

Backend Systems, APIs & Modernization

The backend layer your AI, automation and applications actually run on — built clean, or untangled from what's there today.

Time to value
Audit and roadmap in 1–2 weeks; delivery scoped from there.
Deployment
Can run fully on your infrastructure
Category
Custom Software & Platforms
A laptop showing backend code on a desk, lit by afternoon sun through a windowThe manual version of this
An engineer concentrating at a workstation in an engineering workshopOnce it's AI-assisted

01/The problem

AI and automation initiatives stall on the same thing: a backend that can't expose the data or actions safely, or years of integrations held together by whichever engineer last touched them. The interesting work waits on unglamorous plumbing.

02/How it works

The operating model

What enters, what the system does with it, and what reaches you.
Read the detail behind each stage

01

Assess

An honest read of what's there today — what's solid, what's fragile, and what's actively blocking the next thing you want to build.

02

Design

APIs and services designed around how the business actually operates, not around whatever the original schema happened to be.

03

Build or modernize

New services built clean, or existing ones untangled incrementally — a rewrite is rarely the honest recommendation, and we'll say so when it isn't.

04

Secure

Authentication, authorization and rate limiting treated as first-class from day one, not retrofitted after an incident.

05

Document and hand over

API documentation, architecture diagrams and runbooks that mean your team can maintain it without reverse-engineering it first.

03/What's included

What you actually receive

Concrete deliverables, not a statement of intent.

Technical audit of existing backend systems and integrations

API design and implementation — REST, GraphQL or RPC, whichever fits

Incremental modernization of legacy systems, without a risky big-bang rewrite

Authentication, authorization and rate limiting

Database design, migration and performance work

Architecture documentation and team handover

Built with

  • Python
  • TypeScript
  • FastAPI
  • Postgres
  • Redis
  • Docker

Tooling is chosen per engagement. This is what this kind of build typically uses, not a fixed stack we sell.

04/Also in this category

Custom Software & Platforms

The engineering foundation everything else runs on.

DesignBuildShip
A developer working late across three monitors of codeCustom software

Custom Software & Web Platforms

Internal tools and customer-facing web applications built to fit how your business actually runs, not bent to fit an off-the-shelf product.

Scope → Build → Ship and support

Is this the problem you have?

Tell us what it looks like at your end. We will say honestly whether this is the right fit — including when it is not.

Ask about Backend & APIs