Industries

AI for retail& consumer apps

Whether you’re shipping a consumer app or scaling personalized content, the hard part is turning messy real-world input into something useful. We build the AI that does it — beautifully.

Consumer and retail products live or die on experience — and the experiences that feel like magic are usually an AI quietly doing something tedious in the background. Reading a crumpled receipt, scoring a basket of groceries, or turning one marketing template into a thousand personalized versions — all unglamorous, all perfect for an agent.

We build both the polished consumer-facing app and the personalization engine behind the scenes. Two examples, both shipped.

What consumer brands keeps asking AI to do

1

Consumer mobile apps

Native iOS/Android apps with AI baked in — computer vision, on-device speed, and an interface that feels delightful rather than clinical.

2

Receipt & document intelligence

Turn photos, receipts, and PDFs into structured, scored data — extraction and analysis that would take a person hours, done in seconds.

3

Personalized content at scale

One source document becomes thousands of on-brand, personalized versions — tailored to each customer, segment, or prospect, generated on demand.

What we've built for consumer products

A consumer app and a personalization engine — two sides of AI for retail.

Green Ledger

Receipt scanned
78HEI-2015

This basket

Wild salmon+9
Olive oil+7
Greek yogurt+6
White bread−4
Diet quality up +12 this week

Consumer app · computer vision

Green Ledger — grocery intelligence in your pocket

Green Ledger (GLIA) is an iOS app that scans a grocery receipt with computer vision and scores the basket using HEI-2015, the Harvard Healthy Eating Index — not a vague “good/bad” label, but a real nutrition-science score, wrapped in a delightful, hand-illustrated interface. It’s proof that consumer AI can be both rigorous and a pleasure to use.

Read the Green Ledger case study

Handyy

Personalize a document

Upload document
Describe the audience
3Generatein progress…

Acme Corp — Tailored Proposal.pdf

Personalized + branded · $2.50

Personalization engine

Handyy — personalized documents at scale

Handyy — one of our own products — takes a single marketing document, lets you describe exactly who it’s for, and generates a branded, personalized PDF in minutes. Upload once, and the same engine can spin out thousands of tailored versions, each one researched and on-brand. It’s the content-personalization pattern any consumer brand can put to work.

Built on Next.js and Vertex AI, with simple per-document pricing.

Why custom beats a no-code wrapper

Consumers can smell generic. A no-code AI wrapper gives you the same chatbot everyone else has; a custom build gives you a defensible experience — your data, your model choices, your design language, and an interface tuned to the one job your users actually came for.

And because you own the code and the cloud, your unit economics are yours too — no per-seat tax that scales against you as the app grows.

How we work

  • Fixed scope and a fixed price — quoted in 24 hours, no hourly surprises.
  • A working system in 4-6 weeks, with weekly demos you actually see.
  • You own the code and the cloud from day one — no lock-in.
See our full process

Frequently Asked Questions

Want an AI app or content engine for your brand for your business?

Here's how to figure out if it's the right move — without talking to a salesperson.

1

Spec it in Mission Control

Answer a few questions and our AI drafts a build spec for your idea — free, no signup.

2

Pressure-test it anywhere

Paste the spec into Claude, ChatGPT, or any AI for a free second opinion on feasibility and cost.

3

Talk to us if it's a fit

When you're ready, we'll scope, price, and ship — same studio that built this.