An AI product studio · Seattle

We build the AI that small teams actually run.

AImasterz is a small studio building applied-AI products for service businesses — and publishing what we learn while we do it.

We are early. One product is live and in its founding cohort. The rest of this page is what exists today, labelled honestly, with links so you can check.

What we do

Three things, and we say no to the rest.

AImasterz is not an agency and does not take custom build work. The studio exists to make a small number of products good enough that they sell without a salesperson in the room.

01

We ship products

Not decks, not pilots that die in procurement. Linkiz is live, has paying-tier pricing, and runs against real customer phone numbers and websites today.

See Linkiz
02

We publish what we learn

A free library of field guides on applied AI, operations, and career craft — written from work we have actually done, not summarised from other people's blogs.

Browse the library
03

We map the boring parts

Business-process automation playbooks: where AI belongs in leads, tickets, invoices, and approvals — and, more usefully, where it does not.

See the playbooks

What is actually live

The honest inventory.

Most AI company pages describe a roadmap in the present tense. This is everything AImasterz has shipped, what stage it is genuinely at, and a link to go look for yourself.

5
things you can open

Linkiz

Live

AI front desk for local service businesses — answers calls, chats and forms, texts back missed callers, sends reminders, asks for reviews.

Where it really is: Live product with a working app and onboarding. Founding cohort stage — we are still proving the ROI ledger before we price at list.

Open

The Library

Free

Field guides on applied AI, operations, business, and career craft. Long-form, designed to be read in one sitting.

Where it really is: Free, no email wall. Read them in the browser or print to PDF.

Open

The AI Bill

In progress

A handbook on what AI actually costs to run — model selection, caching, batching, and the invoice at the end of the month.

Where it really is: Published chapter by chapter. The outline is public so you can see what is written and what is not.

Open

Automation playbooks

Free

Where AI belongs in leads, sales, operations, onboarding, decisions, and intelligence work — and where a spreadsheet is still the right answer.

Where it really is: Free to read, drawn from real implementations. Each page also quotes what a build of that shape has cost, so you can decide before you talk to anyone.

Open

AI readiness audit

Live

A structured look at whether your business is set up to get value from AI, and which single workflow to start with.

Where it really is: A real conversation with a human, not an automated score.

Open

Not on this page: customer logos, headcount, funding, or case-study numbers. We do not have the first three, and the fourth has to wait until the founding cohort produces results worth quoting.

How we work

Four rules we hold to.

These are constraints, not values-page decoration. Each one has cost us a feature, a shortcut, or a sale at some point.

01

Say what is built

No feature appears on a page while it is switched off in the product. Demo states are labelled demos. If something is half-done, it says so.

02

The AI cites, or it stays quiet

Our systems answer from a customer's real material and link the source. When they do not know, they say they do not know and take a message.

03

Prove the money

Every claim of value ties back to a specific recovered call, booking, or hour. A ledger the owner can inspect beats a dashboard they cannot.

04

Small on purpose

One product done properly beats five in beta. Build work is taken only where the workflow is repeatable enough to become a playbook — a one-off that teaches us nothing is a job, not a studio.

Who is behind it

Hussain Sehorewala

AImasterz is founder-led and deliberately small. Before starting it, Hussain spent eight years at Amazon Web Services — most recently running a Solutions Architecture team for GenAI, helping enterprise customers take AI from experiment to production. Before AWS, a decade of enterprise architecture and delivery at IBM and Tech Mahindra across India, the UK, and the US.

The pattern that started this studio: most AI projects fail on adoption and operating model, not on the model. Small businesses have the same problem as the Fortune 500, with none of the budget to solve it. Linkiz is the attempt to package the answer instead of consulting it out one customer at a time.

Executive MBA, University of Washington Foster School of Business. Based in Seattle.

Talk to us

There is no sales team. A walkthrough is a 15-minute call with the person who builds the product.

Book a 15-min walkthroughSend a message instead
Get started

Join the founding cohort

The fastest way in is to launch Linkiz yourself — start the 14-day trial. Prefer to talk first? Book a 15-min walkthrough with the founder below, or tell us about your business and Hussain will reply personally.

14-day trial, then $297/mo per location for founding businesses.

By submitting, you agree to our Privacy Policy. No spam — ever.