Transport · Ticketing
VIVI — Pasažieru vilciens
Moving the national passenger rail ticketing systems to modern technology while ticket sales never stopped.
AI in production since 2010
Systems that industry leaders run on.
Since 2004 we have built business-critical systems for large companies and public institutions. Today we bring in AI and modernise existing systems without stopping the business.
22 years
Enterprise and public systems
2010
Neural networks in credit decisions
∥
The new is built, the old keeps running
Some of those who rely on our systems
01 — What we do
New possibilities with AI. New systems without downtime.
Building an AI demo is easy. Building a system that works with real data, replaces the old one without downtime and stays secure for years is hard. That is our job.
AI · Enterprise
AI solutions for large companies
From needs assessment to a working system: document processing, AI agents, knowledge assistants and forecasting.
Learn more →Finance · LendingFinance and lending
We helped build the region's lending leaders. Risk scoring, fraud detection, KYC and collections with AI.
Learn more →Public · InfrastructurePublic sector
We maintain and develop national-scale systems. Long-term responsibility, security and a clear grasp of the AI Act.
Learn more →Legacy · ModernisationRewriting legacy systems
We build the new system alongside the existing one, which keeps running and evolving. The switch happens step by step.
Learn more →02 — AI in your organisation
Where AI pays off in the first year
A few examples. The most interesting ones usually come up in conversation.
Document processing
illustrative exampleInvoices, contracts, applications and requests are read, checked and entered into your system automatically, in Latvian too.
Risk scoring and fraud detection
Models for credit decisions and spotting suspicious transactions. We have done this since 2010.
Knowledge assistant
Answers from your internal documents and systems, with a reference to the source.
Customer service
AI assistants 24/7 that hand complex questions over to a person.
AI agents
Repetitive work across systems runs automatically. A person approves the important decisions.
Analytics and forecasting
Reports that prepare themselves, and forecasts for demand, resources and cash flow.
03 — Legacy system modernisation
The new system is built. The current one keeps running.
You cannot simply switch off a business-critical system. So we build the new one in parallel: the current system keeps running and evolving until the switch happens gradually and under control.
01
The current system keeps going
We keep maintaining and developing it, so the business does not lose a single day.
02
The new one, module by module
Modern technology, AI capabilities and an architecture built for the years ahead.
03
Data in both systems
Synchronisation lets you use the new parts while the old ones still run.
04
No leap in the dark
Users move over gradually and in a controlled way, not overnight.
For example
Real estate · Accounting
Rīgas namu pārvaldnieks — Smart
Rewriting the core accounting system while continuing to develop the current one that daily operations rely on.
…and other systems we are transforming right now.
04 — A few examples
We build businesses, not just software.
Only a few examples. Not everything fits on one page.
Finance · Lending
4finance: from idea to industry leader
From 2008 we built the lending business processes and the ERP system together, with neural networks already making credit decisions in 2010. Twino, Wandoo and many other lenders in the region later adopted the same model.
Business processesERPNeural networksMaintenance
Public · Logistics
Port Community System (OKS)
The digital collaboration platform of Latvian ports, connecting the ports of Riga, Ventspils and Liepāja with ships, cargo and service providers in one environment.
Public · Environment
State Environmental Service
We maintain and develop most of the State Environmental Service's information systems. A long-term partnership.
…
And much more
22 years add up to more than fits here. The rest is better told in conversation.
05 — 22 years of technology waves
AI is not new to us. It is the next step.
We have lived through every technology wave and adapted faster than the market each time.
2004
Advantage ERP: accounting, warehousing, POS, e-commerce
2008
We start building 4finance. Part of the team works in India
2010
Neural networks in production credit decisions
Over the years
Fintech leaders, national-scale systems, Alamora, Dari and much more
In parallel
Rewriting legacy systems without stopping, for example VIVI and Smart
Today
AI systems for large companies and the public sector
06 — How we work
From the first conversation to a system that runs for years.
01
Needs assessment
Together we find where AI or modernisation will bring the biggest gain.
02
Prototype
A working solution on your data, so you decide based on real results.
03
Pilot
A fixed scope and a measurable result in a real working environment.
04
Roll-out
Integration with your existing systems, security and training.
05
Support
We stay: monitoring, improvements and development for years.
We work with what you already have.
We do not force a technology on you. You do not need to change your infrastructure to bring in AI.
AI and dataLanguage modelsRAGAI agentsMachine learning
Back endJava · Spring BootNode.jsPythonGoPHP · SymfonyPHP · Laravel.NET
WebReact
MobileSwift · iOSKotlin · AndroidFlutterReact Native
07 — Dari
We work with AI every day ourselves.
Dari is our system for working with clients. Its AI processes prepare summaries, organise requests and help the team respond faster. You will notice it from day one.
CLIENT
✦ AI SUMMARY
priority: highowner: project managerdue: this week
Needs assessment
Let's start with a conversation.
Tell us what matters to you right now. Together we will assess where AI or modernising your existing systems would bring the biggest gain.
- Your processes, data and systems
- Where the gain would be greatest
- Security, GDPR and the AI Act