FarmIQ

Our first system grew out of the ground.

FarmIQ is an engineering company from Podgorica: software, machine learning and AI. We learned the craft building our own growing systems — a rack that waters itself, the dashboard that runs it, and a container farm.

Become a partnerWhat we build for clients

Where we started

FarmIQ began as an idea a small informal team gathered around — the founder, a childhood friend (today an ML engineer) and one more developer. We applied under the name FarmIQ to BoostMeUp 5, the ICT Tehnopolis incubator, and started from there. Farming gave us our first problems worth solving — and with them the craft we now offer to everyone.

First, we planted an olive grove.

Imanje Korijen: 150 olive trees on Montenegrin karst. Our own ground, where we test everything we build for farming before we recommend it to anyone else.

Freshly planted young olive trees in rows on newly ploughed red soil at dusk, a mountain on the horizon

Imanje Korijen · Donji Martinići, Podglavice villageimanjekorijen.me

Then we built a rack that waters itself.

The iQube demo rack: a metal shelf with two grow trays under LED bars, a 50-litre drum with hoses and a screen showing the iQube logo
iQube demo rack · 120 × 50 × 180 cm

It runs on ebb and flow: a pump floods the trays from a 50-litre reservoir, and overflow pipes return the water. Our software on Home Assistant runs the lights, the pump and the climate.

13 days from seed to harvest for pea microgreens. Water only.
Dense pea shoots under an LED bar on the iQube rack, ready to harvest
Pea shoots on the iQube rack, day 13

And software we wrote ourselves runs the rack.

A control dashboard on the wall next to the rack. Every schedule is one switch, and every pump action goes through a safety layer.

  • Lights06:00 – 22:00
  • Flooding08:00 and 16:00
  • Day temperature20 °C
  • Dry reservoirpump cuts out on its own
  • Pump watchdogon
The Grow Rack dashboard: climate at 20 °C, a grow program with light and flood schedules, automations and pump safety switches
iQube · Grow Rack control dashboard

Next: the same system in a container.

A 40 ft high-cube with two racks along the walls. Designed in CAD from a single source of measurements — no dimension typed in by hand. The demo rack runs today; the container is at the design stage.

Grow trays
312
Levels per rack
6
Aisle for the robot arm
1,410 mm
Solar array
5.6 kWp
iQube container · CAD model, assembly sped up 2.5×

This is how we picture the aisle once a robot arm takes over sowing, moving and harvesting. A visualisation, not footage.

Concept · visualisation
A robot arm in the aisle between racks
Concept · visualisation
A gripper lifts a tray of microgreens

The prototypes in 3D, on the AgTech page

Field-tested craft, for your system.

Three disciplines we built on our own projects, offered to any client — in farming and beyond it. No middlemen between you and the code.

Software engineering

Web applications, internal tools, API integrations and automation. From spec to production, with documentation someone can actually maintain.

web app · API · integrations · automation

Machine learning & AI

Models that run on your data: forecasting, optimization, computer vision and LLM integrations. Led by one of the strongest ML engineers in the region.

ML · computer vision · LLM · MLOps

Frontend & UI/UX

Interfaces users understand on the first try. Design system, prototype, implementation — one team, one standard.

UI · UX · design system · frontend

AgTech

The domain we know from the inside: digital infrastructure for the food chain, from farm to buyer. The full development path — from the original idea to the container — is on the AgTech page.

The AgTech vertical

Proof from practice

For a digital print house in Podgorica we analysed 30,552 work orders and measured how much revenue leaves with clients who never come back — then built the system that brings them back.

  • €85,000estimated annual leak
  • 58%churn rate
  • 30,552work orders analyzed
Revenue diagnostic · print shop, Podgorica

Read the case

How we work

  1. Diagnostic

    We understand the problem and the data before writing a line of code. A conversation, a look at existing systems, a clear picture before the estimate.

  2. Specification

    Clear scope, clear price, no surprises mid-way. Agreed on paper before work begins.

  3. Iterative delivery

    Working versions early and often, not one big bang at the end. You see progress every week, not at the project's end.

  4. Maintenance

    The system stays alive and documented after handover. Stability is the goal, not an accident — we monitor, update, respond.

Zlatna Motika

A marketplace connecting Balkan producers directly with HoReCa and retail buyers, no middlemen. The MVP exists and is waiting for a partner who wants to take it further.

Marketplace · HoReCa · agri · Southeast Europe

We are looking for partners who want to grow with us.

Food producers
Growing systems with software we wrote ourselves — from a rack to a container, tested on our own estate.
Investors
A 312-tray container farm designed down to the last measurement, next to a demo rack that runs today. [POPUNITI: which stage and investment we offer an investor]
Institutions and funds
Agricultural research and development, with our own estate as the proving ground for measuring results.

Write to us. We reply within 24 hours.

Become a partnerblazo@farmiq.me