ANRO Technologies presentsThe Product Atelier

The hardest part of building a product isn’t writing the code.

It’s knowing what to build, what to leave out, and which decisions will matter down the road.

A product studio in Limassol, Cyprus. We’ve launched 75+ products, our own among them, and we bring that experience to yours, from the first conversation to launch.

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Rated by clients on independent platforms★ 5.0 Clutch · 7 reviews ★ 5.0 G2 · 5 reviews

products launched: 75+
MVPs grown into full products: 25+
digital strategies for SMEs: 50+
years in product development: 15+
industries served: 10+

NO. 01

The AI Product

NO. 02

The SaaS

NO. 03

The Platform

A collection of possibilities, not a menu of services

II·The Collection

Where are you today?

Every product begins somewhere. Lift the glass on the piece closest to where you are. Your choice carries into the fitting room below.

III·Prototype vs. product

The tools have changed. Our standards haven’t.

A weekend with AI can get you surprisingly far. Sometimes that’s all you need to test an idea. But deciding what deserves to be built, what needs engineering, and what should wait still takes judgment.

We embrace the tools. We never outsource the thinking.

Built a prototype with AI? See the review & launch sprint →

IV·From the house’s own workshop

We build our own products, and run them in production.

Every lesson from shipping these goes straight into client work: model choice, cost control, reliability, launch.

VITRINE I · OUR PRODUCTAnroAgentsAI agents for business websites, WhatsApp and Telegram, trained on the company’s own knowledge.Hard part in production: answers that stay grounded in the business’s own knowledge.Read the case →

VITRINE II · OUR PRODUCTWeavUpAI networking that finds the right people by goals and skills, with AI agents doing the legwork.Hard part in production: matching by meaning, not by keywords.Read the case →

VITRINE III · OUR PRODUCTAngelA modular personal assistant: users switch on only what they need.Hard part in production: staying up when an AI provider goes down.Read the case →

VITRINE IV · OUR PRODUCTBTTLA “message in a bottle” app that connects people through shared thoughts, songs and films.Hard part in production: Apple’s review for user-generated content.Read the case →

V·The Fitting Room

Find your starting point.

Three small choices, like cloth, cut and finish. You’ll get a considered recommendation, not an artificial score.

I · The cloth

II · The cut

III · The finish

The Atelier’s note

Your note appears here once all three samples are chosen. 3 to go.

VI·Two-week releases

Two weeks. When the scope is right.

What once took 6–12 weeks can now, for some focused products, take as little as two. The difference is experience, AI-assisted workflows, and a clear understanding of what matters.

DefineDAYS 1–2One problem, one user, and what this release must prove.
Design & BuildDAYS 3–9Interface and engineering together, in daily loops you can see.
Test & RefineDAYS 10–12Real devices, real data, edge cases, fixed before anyone finds them.
ReleaseDAYS 13–14Deployed, monitored and handed over, with notes on what comes next.

An illustration, not a promise. Real timelines, testing and security depend on each product’s complexity and risk. Faster execution, the same engineering responsibility.

VII·Selected work

A few things we’ve helped bring to life.

The decisions behind the products matter as much as the finished work.

PIECE NO. 01 · EDTECH · PRODUCT RESCUE

OCTB

A language-learning platform connecting tutors in Latin America with students in North America.

The problem: The platform built by a previous agency was unstable and poorly structured. Every change risked breaking something else, while students and tutors depended on it daily.
Our decision: Fix the critical bugs that students and tutors felt first, then rebuild the architecture underneath, without ever stopping the lessons.
What we built: A stabilised core with a rebuilt architecture. Lesson booking that matches tutor availability and student requests with a scan-line algorithm. Stripe subscriptions plus pay-as-you-go minutes via Stripe and PayPal; no card data stored on the platform.
The result: A stable, self-sufficient platform with over 5,000 active users. Integrations with HubSpot, Slack and Mixpanel were added along the way.

Read the full case

PIECE NO. 02 · EDTECH · AI

Edly.pro

Built by teachers, for teachers: hours of lesson preparation turned into minutes.

The problem: Teachers spend countless hours preparing materials, time that should go to students. The founder, an experienced teacher, wanted AI to take that work on without losing quality.
Our decision: Let AI generate the materials, but keep the teacher in control: an admin panel for AI settings and templates, and every AI interaction logged so quality can be checked and improved.
What we built: Content generation from key phrases, placeholders or templates, on GPT-4. An admin panel where teachers tune AI settings and templates to their teaching style. Age group, language level and target language set at sign-up shape every output.
The result: Teachers save hours on lesson preparation and spend that time with students. We continue to support Edly.pro, from validating hypotheses to improving functionality.

Read the full case

PIECE NO. 03 · OUR PRODUCT · MOBILE APP

BTTL

A social app where people meet through shared thoughts, songs and films, not photos.

The problem: Build a social app with real-time chat, purchases and user-generated content, and pass Apple’s review for it.
Our decision: Rewrite the backend from Laravel to Go serverless and move the database to Neon: with uneven traffic the idle bill is close to zero, WebSockets need no separate server, and heavy matching runs outside the user’s request.
What we built: One Flutter codebase for iOS and Android. Matching on texts, songs (Deezer) and films (TMDb). Real-time chat that opens only with mutual consent.
The result: Passed App Store review and live on the App Store since March 2026.

Read the full case

PIECE NO. 04 · MARTECH · MVP TO PRODUCT

Interactive Survey Builder

Gamified surveys that people actually finish, launched as an MVP and grown on user feedback.

The problem: Classic surveys are boring, and people abandon them halfway. The client wanted surveys that feel like a game, and needed a first version fast.
Our decision: No mandatory sign-up for respondents: less friction, anonymous data, and results visible to admins only.
What we built: Slide types from classic text with a “Next” button to draggable emojis and sliders. Responses captured and aggregated in real time. Encryption at the API level and regular vulnerability testing.
The result: Launched as an MVP, then evolved into a scalable product on the US market.

Read the full case

All work

VIII·Ways to begin

The right beginning is rarely the biggest one.

Some focused engagements begin around $3,000: a small AI pilot, a single-purpose web tool, or a narrowly scoped proof of concept. More ambitious products call for a more considered approach.

We’ll help you decide what deserves your investment before deciding how much to build.

$3K is an indicative starting point for small, focused work, not a universal price for a release. No instant calculator, no false precision.

LOT I

A small AI pilot

LOT II

A single-purpose web tool

LOT III

A narrow proof of concept

LOT IV

A more ambitious product

YOUR FIRST CONVERSATION

Yana BolshakovaBusiness strategy, ANRO Technologies

“Bring the idea as it is. I’ll read your note before we speak.”

IX·Your next conversation

Let’s see what your next idea deserves.

Bring us the idea. We’ll bring the questions, experience and perspective to help you find the right starting point. A 30-minute call, booked in our calendar.

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