We’ve been developing innovative AI and digital solutions for more than 16 years, following both best practices and insights from our own research. That foundation now powers our AI practice — applied mathematics, optimization, and intelligent systems deployed where they change real decisions.
The secret to the success of our AI and digital solutions lies in our holistic approach.
A comprehensive approach for a top-notch solution
We take a close look at your business model in order to find out what could be optimized, how the solution will affect the model, where AI can improve efficiency or unlock new revenue streams, and more.
We place your team and your users at the center of our problem-solving process, using design-thinking methods and feature-driven lean development to create your solution. We translate tacit expertise into design patterns and machine-readable rules, so the result reflects how your work actually gets done.
Lean and iterative development of digital products means that we are constantly testing and improving the solution. Iteration ensures a seamless launch — and we build for long-term upgradability from day one.
Digitization: Improve and automate existing processes
Want to upgrade your business model and processes without significantly changing them?
You can do it through digitization backed by intelligent algorithms, our innovations and automation. Digitization makes it easier to adapt your business to emerging trends and accelerates growth.
We have lots of practical experience with digitization. We actively participated in a wide range of research and development projects on digitalization across Slovenia and the EU.
We are constantly upgrading our skills and developing tools and services that give you an advantage even in the most competitive global markets.
Digital transformation: Realize your business potential
The three biggest benefits of digital transformation that our clients experience are:
- a competitive edge due to new digital products,
- business models that enable better scalability,
- new revenue streams.
Digital transformation enables our clients to realize their potential for global or regional growth.
When it comes to digital transformation, nothing should be left to chance. We make sure it’s not. Business model changes are carefully planned, as are the implementations of the digital product, its building blocks, and algorithms. We take care to choose the right technologies for your specific needs.
Your digital transformation is in the hands of our development team, which consists of internationally renowned experts in blockchain, mathematical optimization, artificial intelligence, data science, cybersecurity and others. We also include experts for your specific market and business model innovators.
The entire team is constantly gaining new knowledge and experience in all key areas of digital transformation by developing practical solutions or conducting research projects.
AI integration: Make your existing systems intelligent
Most organizations don’t need an AI department. They need their existing systems — CRM, ERP, document stores, scheduling and support workflows — to start behaving intelligently where it pays off.
AI integration means connecting language models, retrieval pipelines, workflow automation, and classical optimization to the systems you already run, so the gain shows up in the work your team already does:
- Retrieval-augmented assistants that answer staff questions against your own document base, with citations to the source paragraph.
- Decision-support models that turn historical data into forward-looking recommendations, with the underlying math visible through dashboards.
- Mathematical optimization for routing, scheduling, allocation, and pricing — one of the most underused AI techniques in enterprise software, and one where a properly formulated solver consistently outperforms generative models.
- In cybersecurity, AI integration shifts operations from reactive to proactive defense — for example, AI agents in CI/CD pipelines that surface vulnerabilities before they reach production.
The goal of AI integration is to make the next decision in your existing process measurably better.
Agentic automation: Systems that plan and act
Agentic automation means systems that plan a multi-step task, use tools, act on your business systems, and verify their own work before reporting back.
This is where most pilots fail. An agent acting on your behalf needs durable state that survives across sessions, a constrained action surface with clearly scoped permissions, an evaluation harness derived from your own historical decisions, and an audit trail you can present to any auditor months after the fact.
The clearest demonstration is so-yesterday.ai, a production agentic system we operate publicly — built on the same architecture we deploy inside client systems, but with public content you can inspect directly.
Agentic AI is not a chatbot with more steps. It is a system for delegated work — and it stands or falls on its security model.
Cybersecurity and AI: Build securely from the start
Security cannot be retrofitted into an AI system after the fact. Prompt injection, data exfiltration through retrieval, agent permission creep, and audit log integrity all have to be addressed at architecture time. Add EU regulatory requirements — the AI Act, DORA, NIS 2 — and the cost of getting it wrong scales faster than the upside of getting it right.
We treat security as a priority in every AI integration, designing for compliance from day one:
- Sandboxed, scope-limited execution — agents run in isolation where every action is enumerated and every write is tied to an explicitly granted permission scope.
- Cryptographic audit trails — every decision, retrieval, and write is logged in a tamper-evident structure, so post-hoc review is a query rather than an investigation.
- Confidential-document mode — for workloads involving regulated or business-secret material, sensitive content stays out of model training, out of third-party logs, and inside an auditable boundary.
Security is not the section of the deck you skip to get to the demo. It’s the reason your digital product will still be there in a few years.
We are active members of multiple initiatives
Working across Slovenia and Europe, Abelium employees participate in various initiatives and associations related to the development of digital transformation, AI, and cybersecurity:
- Co-chairing the commission "Ready 4D Future", AmCham Slovenia,
- Members of the Strategic Research Innovation Partnership in the field of mobility in Slovenia SRIP ACS+,
- Active in EU-level (HORIZON Europe) research consortia on AI, data spaces, and confidential computing,
- Members of the working group of the Bank of Slovenia: Financial Stability Board for fintech and cybersecurity.
Solutions and research:
- How we increased the transparency and quality assurance of a coffee supply chain with blockchain solution - We developed a blockchain-based transparency and traceability technology, that makes coffee traceable from its production to the final package. The system confirms the coffee’s origin and quality, together with the fairness of its value chain, by tracking it all the way from the farmer to the end consumer.
- Slovenian Supreme Court's digital processes are now faster and aligned with EU standards - We upgraded the e-Su Register information system by developing new functionalities, implementing EU standards and enabling parallelization to optimize the digital processes it supports
- How our solutions accelerated digital transformation of public services for entrepreneurs - An all-in-one digital system that provides a supportive environment for entrepreneurs and easier access to all relevant information and funding. The platform was created and rolled out in cooperation with a public agency.
- GoOpti transported 32,000+ passengers each month using our tailor-made transportation marketplace - A digital transformation of a transportation business into a cloud-based transportation marketplace, based on advanced algorithms. It’s a sustainable solution loved by end customers, as shown by the 93% satisfaction rate.
- How we boosted the management of video conferences, a video library and conference calls by developing three multi-media platforms - We created a sustainable solution with three user-friendly, secure, and widely available platforms for video communication and management.
- How our team helped speed up standard annotations for Computer Vision through human-in-the-loop AI models by developing new algorithms - We actively participated in developing a Toronto Annotation Platform - a web-based application that allows for larger, more efficient, and more accurate data annotation projects.
- How we digitized and speed up the review process of Slovenian courts - Development and implementation of a digital system for reviewing court case files with support for search and filter functions to accelerate the process
- so-yesterday.ai - An AI-native knowledge platform — and a reference architecture for secure, traceable, agent-ready AI.
- Di-Gozd - Development of an online and mobile application for a digital forest inventory
- KumuluzAPI - Establishing an API ecosystem of smart cities and communities
- Kumuluz Crowdsensing - Researching new technologies for automatic data collection and the measurement of crowd data
- AI-FINREG - Regulation of modern FinTech services and protection of personal data
- KKIPP - 4PR - A tool for creating intelligent digital technology platforms