Artkai

Capabilities Overview for Euvic Finland

This overview is for the Euvic Finland team. It explains who Artkai is, what we can bring into your manufacturing accounts, and where we fit in a presale conversation with your clients.

FocusManufacturing and industrial clientsDateSeptember 2026
1

Who we are

Senior engineers. Multiplied by AI.

Artkai is an AI-native software development company within Euvic Group. We help mid-market and enterprise companies modernize their systems, automate business processes and build AI into their products.
AI agents do the heavy lifting. Our engineers design, decide and sign off every step.

150+

delivered projects

across industrial, energy, logistics, fintech and healthcare

140+

in-house people

engineers, architects, designers, QA, product and delivery managers

4.9

Clutch rating, 53 reviews

Clutch Top 1000 Global 2025

Engineering and design teams in CEE; clients in the US, UK and Europe
Clients include
ProCredit, Roche, Piraeus Bank, DTEK, Mercedes-AMG, CFA Institute and Spok
Not everything needs AI

We start with the economics of the problem. We tell the client where AI pays off, where plain code is cheaper, and what to leave alone.

2

What we bring to manufacturing clients

Modernization of legacy production software
We modernize aging internal systems step by step, without rip-and-replace and without stopping production, and connect them with the client's existing ERP, MES and data.
AI where it pays back
We measure where manual work and operating costs sit, then automate the processes with the fastest payback. The ROI is modeled before anything is built.
Software that operations teams actually use
Dashboards, operator consoles, configurators and field apps designed for complex, data-heavy work.
Faster and cheaper delivery, with engineering control
Our agentic delivery process lets a compact senior team ship the same scope up to 2× cheaper than traditional development. Every step still passes an engineer's review.
Security and governance by default
Access controls, audit trails and human-in-the-loop checks are designed in from day one.
3

Services

3.1

Legacy Modernization & Cloud Migration

Move old systems to new ones in months, not years, while production keeps running.

Manufacturing companies often run critical operations on software that is 10-20 years old: desktop and thick-client applications, on-premise servers, custom tools built on outdated frameworks, code with little documentation and no original developers left. These systems still work, but they are expensive to maintain, hard to integrate with modern ERP, MES and IoT, and they block any AI or automation initiative.

How AI changes modernization
Legacy code

Code with little documentation and no original developers left

AI agents
Rebuild the specifications and documentation

In days, not months

Our architects
Decide what to keep, rewrite or retire
KeepRewriteRetire

This removes the most expensive and risky part of a modernization project: understanding what the old system actually does.

What we modernize, depending on what the client needs
Assessment and re-documentation
A clear picture of the legacy system, its dependencies and risks, and a modernization plan with cost and value for each step
New interface on top of the existing core
Modern web or mobile UI for operators, planners and technicians, without touching stable back-end logic
Step-by-step rebuild
Replacing the system module by module, so old and new run side by side and there is no big-bang cutover
Full rewrite or refactoring
To a modern stack when the old core can no longer be maintained
Integration layer
APIs that connect legacy systems with ERP, MES, WMS, IoT data and BI, so the old system stops being an island
Cloud migration
Moving from on-premise to AWS, Azure or GCP with a safe cutover plan, data migration and no disruption to production
Modernization as a basis for AI
Clean data, APIs and architecture that make automation and AI features possible later
References
Spok

Modernization of a mission-critical healthcare communication platform used by 2,200+ hospitals, with test regression cut from 2 months to 2 weeks.

spok.com

KMC Commander

IoT building automation platform, modernized from a fragmented legacy system into a unified monitoring and control platform.

kmccontrols.com

See 5 Selected work.

3.2

Software Engineering

Custom software for companies that run on complex systems.

Operations platforms and core systems

Production and test data management, inventory and warehouse, asset and equipment monitoring, high-load backends and cloud architecture

Integrations

ERP, MES, WMS, IoT and sensor data, BI and reporting

New digital services

Customer, dealer and supplier portals, service and field technician apps. We also take AI-built prototypes and bring them to production quality.

Delivery formats

Project-based delivery, dedicated teams, QA automation and DevOps

3.3

AI & Automation

Business Process Automation

We rebuild and automate manual, people-dependent workflows: order entry, invoice and document processing (delivery notes, certificates, quality reports), approvals, reporting, customer service. We use AI where judgment is needed and plain code where rules are enough, both on top of the client's current systems.

up to 40%

lower operating costs

on automated processes

up to 60%

less manual work

3-6

months to payback

AI in existing products and systems

AI agents, RAG and system integrations: search and assistants over technical documentation and manuals, copilots for service technicians and operators, predictive and analytics features, computer vision. We build AI into the client's systems, not as a bolt-on chatbot.

AI Assessment: the usual starting point opens with a 30-minute call
Step 1
Map

Processes, systems, data and costs, end to end. We talk to the people who do the work.

Step 2
Split

Each task goes into one of three buckets:

AICodeKeep as is
Step 3
Prototype

One working prototype on the client's own data, so the first win is real, not a slide.

Step 4
Plan

A roadmap with the value and cost of each item, ready for the client's budget cycle.

The client leaves with
Process and system mapAI-vs-code breakdownWorking prototypeValue and ROI modelTarget architectureRoadmap

The team that runs the assessment is the team that implements it.

3.4

Agentic Delivery & Enablement

We rebuilt our own software production around AI agents.

We offer it in two ways: as the way we deliver, and as a transformation of the client's own engineering team.

How we deliver: agentic SDLC with engineer gates

AI agents work through every stage of delivery. Engineers sit at the gates between stages, and nothing moves forward without their approval.

Stage
Requirements

Agents do: turn interviews and legacy code into specs

GateAnalyst
Stage
Architecture

Agents do: propose options and trade-offs

GateArchitect
Stage
Code

Agents do: write features in parallel

GateCode review
Stage
Tests

Agents do: generate and run test suites

GateQA
Stage
Release

Agents do: prepare deploys and documentation

GateRelease

Speed comes from the agents. Quality and accountability come from the engineers, and the client sees every decision and who made it.

Economics: the same scope up to 2× cheaper than traditional development

Acceleration depends on team size.

up to ~2×

small teams

50-70%

mid-size teams

30-50%

large teams

1-3

days for a clickable feature prototype

Delivery management that holds the pace
One accountable lead per engagement, predictable estimates, weekly demos, value tracked against the roadmap.
Transparent AI economics
Token budgets per task, routing between models by task complexity, cost-per-task metrics. The client sees a predictable unit cost, not an open-ended AI bill.
We don't vibe-code, we engineer
Anyone can prompt a demo. We deliver architecture designed before the first prompt, reviewed code, tested changes and a codebase the client's team can own and extend in year two.
Agentic SDLC transformation

We install our agentic delivery system inside the client's engineering or IT team, for leaders who want more output without more headcount. This is engineering work on the client's pipeline, not a training course. We have already configured agentic processes for 7 clients. It covers:

Audit

Of the current process and AI tool usage

Agents

For each stage from specs to release

Review gates

Wired into the client's repositories and CI

Pilot

On one team

Delivery metrics

Before and after

3.5

Product & UX Design

Fix what users struggle with in existing products, without starting over.

Operational software in manufacturing is often built by engineers for engineers: interfaces from the 2000s-2010s, long onboarding for new operators, errors in critical steps, low adoption of new tools. Internal redesign keeps losing priority to features. We fix this step by step, starting from the flows that cost the most.

Audit
Find where users struggle

One critical flow or the whole product: where users make mistakes and what to fix first.

Fix priority flows
Redesign what drives the most value

Start with the flows where better UX brings the biggest business result: fewer errors, faster work, higher adoption.

Roll out across the product
Scale through a design system

So the whole product looks and works consistently.

Senior designers own the experience, and AI handles the repetitive screens.

What we do
UX Audit light entry point

An expert review of one critical flow or the whole product, showing where users struggle and what to fix first. Valuable on its own.

Redesign: from one flow to the whole interface

Step by step, without a big-bang relaunch

Design systems and design-to-code

The redesign is delivered as production-ready React components, not static mockups, which removes the gap between design and development

UX upgrade of legacy interfaces

A modern UI on top of the existing system, together with 3.1 Legacy Modernization (new interface on top of the existing core)

UX and UI for complex operational systems

Dashboards, dispatcher and operator consoles, configurators, B2B portals

Usability testing with real users

Operators, technicians and planners, as part of the work

Also
Designing AI features Product strategy and discovery for new digital services Customer journey and experience design Brand and web through Bachoo, the design brand within Artkai
Typical outcomes

60%

faster UX discovery

2×

faster move

from concept to working front-end prototype

4

Industries we have delivered in

Each industry below is backed by delivered projects in our portfolio at artkai.io/works.

Closest to manufacturing
Manufacturing and industrial operations

Manufacturing operations and test data platform (PulseCore)

Energy and utilities

Digital transformation for a national energy company (DTEK), solar energy management (ERP)

IoT and building automation

Modernization of a building management platform (KMC Commander)

Logistics, supply chain and inventory

Fleet and delivery platform (FleetFlow), cloud inventory and ordering platform (Beverage X)

Automotive and mobility

Used car marketplaces (Cardrop and others), taxi dispatch apps for UK fleets (Cordic), Urban Mobility Design System

Security and computer vision

AI video surveillance platform

Other industries
Fintech and banking

Online banking (ProCredit, Winbank), payments (DNA Payments), lending, trading platforms, crypto exchanges (CEX.IO, Huobi)

Insurance

Insurance platform modernization (PolicyHub)

Healthcare

Communication platform modernization for Spok, HCP portal for Roche, EHR, hospital and practice management, telehealth, e-prescribing

Enterprise SaaS and HR tech

Board management, workforce management, HR and recruitment platforms, AI sales platform

Retail and e-commerce

Multi-marketplace selling platform, inventory solutions

PropTech and travel

Real estate platforms and CRM, vacation rentals, travel booking

Media, AdTech and MarTech

In-app advertising (Adverty), marketing and messaging SaaS, cinema ecosystem (Planeta Kino)

5

Selected work

The full portfolio of 70+ cases is at artkai.io/works. A structured case reference file for matching cases to a specific client is available on request.

ProjectWhat we didLink
SpokHealthcare communication platform modernizationModernized the critical communication platform of Spok (NASDAQ: SPOK), used by 2,200+ hospitals with 70M+ messages per month: operator console, HIPAA-compliant mobile and web app, FDA-cleared alerting. Moved to a modern, scalable stack, redesigned the UX into one system, added new features, automated the SDLC and QA. Test regression cut from 2 months to 2 weeks.spok.com
PulseCoreManufacturing softwareOperations platform for an electronics testing and certification company: replaced spreadsheets and scattered tools with one system of record for tests and results, with ERP integration and workflow automation.artkai.io
KMC CommanderIoT platform modernizationModernized a building automation platform: unified device and sensor data, redesigned monitoring and control, alerts and automation workflows.artkai.io
ERP for solar energy managementUnified ERP for solar assets: production, asset and financial tracking with IoT and monitoring integrations, replacing disconnected tools.artkai.io
Beverage XInventory platformCloud inventory and ordering platform connecting suppliers, distributors and retailers: stock, orders and warehouse workflows, POS/ERP integrations, AI-powered ordering.artkai.io
FleetFlowLogistics platformDelivery and fleet management platform: dispatcher console, driver app with live tracking and route optimization, integrations with existing logistics systems.artkai.io
AI video surveillance platformComputer vision system that automatically detects events across large camera fleets and reduces manual monitoring.artkai.io
DTEKEnergy enterpriseDigital transformation for a national energy company: self-service portals, consumption and billing dashboards, replacement of legacy channels.artkai.io
Capabilities overview for Euvic Finland · September 2026