Launched on Product Hunt· Featured on Fazier
AI-native engineering

Your business, rebuilt AI-native.

Cheeky-Fit Inc. builds and runs custom AI-native software for small and medium businesses — apps, websites, AI infrastructure, and API endpoints, built for one business and maintained after launch.

No engineering team to hire, no stack of subscriptions to stitch together. We map how the business actually runs, build the software and the AI layer it needs, and keep both running afterwards.

Custom software AI infrastructure API endpoints Managed operations
POST /v1/orders/triage
# Example: an endpoint built for a distributor.
# Your logic, your data, callable by your own tools.

{
  "order_id":   "SO-4192",
  "route":      "expedite",
  "confidence": 0.94,
  "reason":     "repeat account, stock on hand,
                 courier SLA at risk",
  "sources":    ["orders", "inventory",
                 "courier_events"]
}
The stack

Four layers, built as one system.

Every engagement assembles the same four layers. What goes inside each one is different for every business, which is the entire point.

01 / Clients

Apps & websites

The surfaces your customers and your staff actually touch, built to the operation rather than configured from a template.

iOS Android Web Internal tools
02 / Endpoints

The API layer

Your business logic exposed as endpoints, so every client, partner, and AI agent reads the same truth instead of a copy of it.

REST Webhooks Auth Versioning
03 / Intelligence

The AI layer

Models grounded in your own operating data — retrieval over your documents and records, not a general model guessing at your domain.

Retrieval Pipelines Evaluation Guardrails
04 / Foundation

Data & operations

Storage, deploys, monitoring, and patching. The layer nobody buys and every stack dies without.

Hosting CI / CD Monitoring Backups
What ships

The parts of the deal that usually stay vague.

Deliverable
Running software on running infrastructure — not a prototype, a slide deck, or a proof of concept that needs a second budget to become real.
Ownership
Yours. The source, the endpoints, the models' configuration, and the data all belong to your business. Nothing is held hostage in an account you cannot access.
Lock-in
None by design. The stack runs on standard cloud infrastructure in your accounts where you want it, and everything is documented well enough for another team to pick up.
After launch
Hosting, monitoring, security patching, and a route to a human. Optional, but it is what stops a custom build turning into a rewrite in two years.
Team
The people who built Cheeky. You talk to the engineers doing the work, not to an account manager relaying it.
Not on offer
Staff augmentation by the seat, offshore ticket-taking, or a licence to a platform we also sell to your competitors. We build one system per business.
How it works

Four steps, from your operation to a running stack.

01 / Map

We sit with the operation and map what actually happens.

Before any code: where the work happens, where the data lives, what people re-key by hand, and which of that is worth automating first.

02 / Build

We build the software the map calls for.

Apps, websites, dashboards, and internal tools — designed and written for this business, on infrastructure we already run in production.

03 / Wire

We wire the AI layer and the endpoints.

Your data becomes retrievable context, your logic becomes callable endpoints, and the two connect to the tools your team already uses.

04 / Run

We keep it running.

Hosting, monitoring, updates, and a route to a human when something breaks. The stack stays maintained instead of decaying into a rewrite.

Engagements

Three shapes, depending on what you already have.

01 / Scope

Map

A short engagement that ends in a written plan you own, whether or not we build it.

  • Operation and data audit
  • Architecture for the stack
  • Build sequence and risks
  • Yours to take elsewhere
02 / Most engagements

Build & Run

The full stack designed, built, launched, and then maintained by the team that wrote it.

  • All four layers
  • Launch and handover
  • Hosting and monitoring
  • Ongoing changes
03 / Ongoing

Fractional team

For businesses with something already running that needs an engineering team it cannot justify hiring.

  • Take over an existing stack
  • Add the AI layer to it
  • Maintenance and on-call
  • Month to month
How it is run

Boring where it counts.

Every stack we ship gets the same operational floor: HTTPS with HSTS, a strict content security policy, deploys through CI with preview builds on every change, and payments handled by Stripe so card data never touches our infrastructure.

GET response headers
# This site, right now.

strict-transport-security: max-age=31536000
content-security-policy:   default-src 'self'
x-content-type-options:    nosniff
x-frame-options:           SAMEORIGIN
referrer-policy:           strict-origin-when-
                           cross-origin
Evidence

We run the same stack we sell.

Cheeky, our own consumer product, runs on this architecture: an AI pipeline over garment data, a marketplace backend serving three clients from one API, a Stripe payments layer, and managed operations — all built and maintained by the same team that would build yours. Cheeky-Fit Inc. is a participant in the Stripe Accelerate program.

Start
Tell us what your business does. We will tell you what we would build.

The first conversation is a scoping call, not a pitch. Email Cheeky-Fit Inc. and describe the operation — what you sell, how work and orders move through it, and where the manual effort is.