See our workTalk to our team

Your business. Your AI. Your advantage.

Enterprise credibility

Trusted to build technology that matters.

Shell
Mars
Antech (Mars)
CarShield
Marikomerc
CIAK
Unija
Delta DMD
Croatian Medical Chamber (HLK)
Nation's Dry Out
Marble
Workplay
Activeform
Plumbing Solutions
Johns Hopkins University
AWS
Caylent
WinMoreBD
ESMC
FortunAI
Innova
AthesAI
Unisport
Dwell Optimal
Carriculum
Ruxlo
End-to-end delivery model

One partner from opportunity to outcome.

Building the AI is only part of the job. The harder part is making it work inside your business — with your data, systems, processes and people — and ensuring it continues to create value after go-live.

Strategy & Build

  1. 01

    Discover

    Find where AI can create meaningful business value.

  2. 02

    Design

    Define the business case, solution and path to production.

  3. 03

    Build

    Engineer the AI, software, data and integrations.

  4. 04

    Deploy

    Put it into production inside your technology environment.

Go-live

Production & Value

  1. 05

    Train

    Prepare your people to use AI effectively in their actual roles and workflows.

  2. 06

    Adopt

    Embed the system into the workflows and teams that will use it.

  3. 07

    Operate

    Monitor performance, reliability, cost, usage and business impact.

  4. 08

    Improve

    Continuously improve the system against the outcome.

Go-live isn't the finish line.

From the first management workshop to daily production operations, the same accountable partner stays with the system — training the people around it, measuring what happens in the real business, and continuously improving it from there.

Measured against business outcomes.

40+Skilled professionals
60+Projects delivered
$100M+Measured client impact

Certified

AWS PartnerAWS Partner — enterprise deployments in customer-controlled AWS environments
Award · 2025

#1Fastest-growing technology company in Croatia

Awarded by
Ranking · 2025

#11Fastest-growing technology company in Central & Eastern Europe

DeloitteTechnology Fast 50 2025 Central Europe
Warehouse aisle with stacked pallets
Sales rep using a tablet at a customer counter
Delivery truck loaded with beverage cases
Dispatcher at a multi-screen operations desk
Row of white delivery vans
Business dashboard on a laptop
Factory production line
Back-office desk with calculator and reports
Warehouse loading dock doors
Navigation route on a phone mounted in a vehicle
Supermarket aisle
Industrial control room

For businesses where operations matter.

Explore industries
Proof in production

AI that changes what happens in the business.

Explore all client outcomes →
001
Food distribution

Marikomerc

  • 94.7% of historical revenue losses detected
  • 43-day median early warning
  • €3.7M annualized losses identified
  • Runs inside the existing ERP
Read the case study

43 days earlier to act on revenue at risk.

Customer churn used to show up only after months of declining orders. A predictive system inside the distributor's ERP now detects behavioural change early and gives sales teams time to intervene.

Marikomerc Sales Anomaly Detection — screenshot 1
002
Spirits & wine distribution

Delta DMD

  • A tailored sales strategy before every outlet visit
  • A photo of a menu becomes a distribution report
  • Product answers and micro-learning in the field
  • Assortment compliance visible across the market
Read the case study

Every outlet visit, prepared by AI.

Outlet-level sales knowledge lived in brand books, spreadsheets and reps' heads. An AI-first field sales platform now briefs every rep before each visit and turns a photo of a menu into an instant distribution report.

Two phones with Delta DMD's field sales app: an outlet's spirits assortment with listing status, and the AI sales assistant
003
Payroll operations

Unija

  • Reads and extracts incoming documents
  • Resolves the right company and employee
  • Delivers structured data into the payroll ERP
  • People stay in control of exceptions
Read the case study

Repetitive work out of payroll operations.

An AI operations layer that turns incoming documents into structured data for the payroll ERP.

A stack of tax, bank, court and health-insurance documents beside a laptop showing Unija's payroll automation dashboard with every incoming document processed
004
Healthtech research

Johns Hopkins University

  • AI healthtech ecosystem
  • Dementia tracking
  • Built with the Department of Neuroscience
  • Output quality that exceeded expectations
Read the case study

An AI ecosystem for dementia tracking.

A complex AI healthtech platform built with the Department of Neuroscience.

Two tablets with the dementia study app: a participant dashboard with the Cognitive Performance Index, and a self-assessment of alertness, mood and sleep

Everything required to move AI from opportunity to production.

Six services, one accountable team — from the first workshop to daily production operations.

AI Strategy & Consulting

Identify where AI can create the greatest value in your business and define the path to implementation.

AI Transformation

Build the strategy, technology, operating model and organizational capability required to adopt AI across the business.

AI Engineering

Design and build production AI systems around your data, workflows and existing technology.

Forward Deployed Engineering

Embed senior engineers close to your operation to turn production feedback into continuous improvement.

Managed AI

Monitor, maintain and improve AI systems after go-live — from technical performance to the business metrics they exist to move.

AI Training & Enablement

Prepare leaders and teams to work effectively with AI through training built around your actual business and use cases.

Margins technology

Our experience,
your success.

We don't start AI implementations from zero. Years of building production AI exposed the same challenges repeatedly: connecting models to real systems, orchestrating workflows, capturing proprietary knowledge, monitoring performance and keeping everything reliable after deployment. So we built technology to solve them.

Rivermind

Rivermind logo

The operational layer for enterprise AI.

Rivermind orchestrates models, data, tools and business rules into production AI workflows — with the monitoring and control required to operate them over time. Margins uses Rivermind as an accelerator behind enterprise implementations and as the foundation for Managed AI.

Explore Rivermind (opens in a new tab)

Capta

Capta logo

Turn what your people know into intelligence your company owns.

Capta captures the expertise hidden in people's heads, habits and workflows and converts it into structured organizational knowledge that AI systems can use.

Because the intelligence that differentiates your business isn't sitting inside a generic model. It's already inside your company.
Explore Capta
Enterprise ownership & private AI

Your AI and data should belong to your business.

Your operational data, business processes and accumulated expertise are part of your competitive advantage. We design AI systems around enterprise ownership and control — deploying into customer-controlled cloud, private cloud or on-premise environments where required, integrating directly with existing systems, and keeping proprietary business intelligence under your control.

Security & Trust

Your infrastructure.

Deploy within the environment that fits your security and operational requirements.

Your data.

Design architectures that keep sensitive and proprietary information under enterprise control.

Your intelligence.

Build organizational knowledge and AI capabilities that become assets of your business.

Built to close the gap between AI ambition and business reality.

Why companies choose Margins

Business value before technology

We start by understanding the business outcome, then determine where AI belongs — not the other way around.

Senior engineering, end to end

The people defining the solution understand what it takes to build and operate it in production.

A head start from proprietary technology

Rivermind and Capta give our teams proven foundations instead of starting every implementation from a blank page.

With you after go-live

We operate and improve what we build because production is where AI starts proving whether it creates value.

The speed of a product. The precision of custom engineering. The accountability of a partner.

Client voices

They have helped us build a complex AI healthtech ecosystem for dementia tracking. Their responsiveness, independent problem-solving, and high-quality output exceeded our expectations.

Kishore KuchibhotlaDepartment of Neuroscience, Johns Hopkins University

What we're learning from putting AI into production.

All insights →
Insight

Using AI is not the same as implementing AI

Factory production line

Why enterprise intelligence will increasingly stay inside the enterprise

Insight

The model isn’t your competitive advantage

Insight

Why AI implementation doesn’t end at deployment

Insight

What production teaches you that an AI pilot can’t

Margins team member

Where could AI create the most value in your business?

Start with a conversation. We'll learn how your business operates, explore where AI could create meaningful value, and help determine which opportunities are worth pursuing.

Talk to our team

No predetermined solution. No technology looking for a problem.