Aikonsulting

Aikonsulting is a privately-held Belgian company specialized in applied artificial intelligence. We design and implement software systems to solve problems where traditional approaches fail.
Amongst our expertise domains are business rule management systems, knowledge representation, optimization problems, automated deduction, logic, planning and machine learning.
In the last few years, Aikonsulting was involved in many success stories, amongst which are the creation of a fully autonomous six-legged robot, design and development of true massive multi-agent systems, the development of complex decision and analysis systems for process management and the centralization of business logic into business rules systems.

Services

Although AI sounds like a far future research only technology, 90 % of all companies have problems that can be solved correctly or better by AI techologies. The main problem is dual: first the problem must be identified as an AI problem, next the appriate solution method must be selected for it. Sometimes, a company can face a problem that is known to be unsolvable (in finite time and limited resources). Aikonsulting can help to recognize these problems, so you don't waste expensive resources. Moreover, instead of giving up on the problem, we can investigate how to transform the problem into a tractable problem, eg. by limiting the application domain.




Consulting

We have substantial experience in providing Consultancy as a service to businesses. Whenever you face hard problems, call us to see if and how we can make them manageable using state of the art A.I. techniques.

Implementation

Once a problem is identified as being a hard problem solvable by applying A.I. techniques, our engineers design en develop a complete solution integrated in your current architecture landscape.

Training

We offer a complete training portfolio ranging from introduction into artificial intelligence techniques over sessions covering a specific topic like eg. neural nets or rule based systems onto special custom sessions discussing a solution for your project at hand.

AIKONSULTING smartens your systems

Our team of highly trained and dedicated software engineers possesses both the experience and the desire to create intelligent quality custom software. We strive to deliver high quality projects on time and within your budget.
We have worked with a variety of companies in fields such the energy sector, human resources, robotics, process management,... Our consultants have excellent handson experience with a multitude of languages including Prolog, Lisp, Haskell, C#, F#, Java, C++...

Expertise domains

We offer consulting, design and implementation solutions for all of the following domains

KNOWLEDGE MANAGEMENT

Aikonsulting provides a full range of solutions and services to facilitate the acquisition, representation and engineering of knowledge for your company. We capture the knowledge of in-house experts as rules, models, and case bases of previously encountered situations and solutions. Sometimes hard problems can be easily solved by just choosing the right representation.

AUTOMATED DEDUCTION AND LOGIC

we provide consulting for reasoning under uncertainty and non-monotonic reasoning. Logical and automated reasoning methods are used for the intelligent processing of large ontologies, decision making based on knowledge bases of structured data and formal specification and verification of web services. An important part of the systems development process concerns reasoning about the behaviour of systems in order to verify the correctness of the behaviour.

OPTIMIZATION PROBLEMS

Optimization problems are problems to find the best solution from all feasible solutions. It inludes not only finding solutions but being able to find the best of them. Often these problems are NP-complete, which means that they cannot be solved in polynomial time in any known way. By using specific knowledge of the domain and problem context, we usually succeed in coming up with a working solution for your problem.

BUSINESS RULES

Aikonsulting provides the skills to express, analyze, trace, retain, and manage the decision logic used in your day-to-day business operations. We advise on Enterprise Rules Architecture and Integration. It does so by offering a comprehensive set of steps and techniques to guide capture, expression and organization of business rules. Digitizing the Corporate Rulebook, Rule Modeling and Simulation, Rule-Based System Design The final product is an intelligent decision support system.

PLANNING & SCHEDULING

Aikonsulting designs and implements intelligent planning and scheduling systems. By combining the knowledge of your inhouse expert scheduling people with heuristic search algorithms, we manage to solve problems that are too difficult for traditional optimization.

MACHINE LEARNING

Aikonsulting helps to conceptualize and design algorithms that allow computer systems to learn to acquire abilities and to improve their behavior with experience. These new capabilities are obtained without being explicitly programmed. Learning is most commonly -- but not necessarily -- done based on a set of examples from which to learn. It is also possible to learn in the absence of feedback. Our appoaches include Bayesian algorithms, decision tree learning, neural networks, ...

Our Process

Although A.I. applications are complex systems, their design and implementation follows the typical software lifecycle

1

MEET

2

PLAN

3

DESIGN

4

DEVELOP

5

TESTING

6

LAUNCH

Aikonsulting provides

  • A customized approach tailored to your specific needs
  • An understanding of what it takes to succeed and a roadmap for getting there
  • Ability to integrate business and IT perspectives into a unified whole system approach
  • Ability to communicate across all levels of your organization
  • Expertise to fill skill gaps and navigate the hard stuff
  • Internal knowledge and self-sufficiency gained through mentoring
  • Knowledgeable resources for backup in crisis situations
  • A big picture perspective as well as attention to details
  • Decisions based on up-to-date technology directions, issues, and options

When do you need AI?

Although it is not feasible to give a complete list of all characteristics of artificial intelligence solvable problems, here are some rules of thumbs when your problem probably needs an AI solution

Typical properties

  • There is not much information or structure on the problem domain
  • The problem domain is changing constantly
  • You can recognize a good solution but have no idea how to compute one
  • The problem uses a lot of human reasoning and expert knowledge
  • The problem is normally accomplished manually, by a human expert
  • The problem is usually solved by using heuristics
  • The problem involves lot of decisions and/or they are usually made based on uncertain, incomplete, probabilistic, or fuzzy knowledge
  • The problem cannot be automated using conventional software
  • The problem uses a lot of human reasoning and expert knowledge
  • Your current solution can be automated for small problems but fails or compuationally explodes whenever the problem size is growing

Examples

Most AI applications today are not standalone systems like autonomous robots but they add knowledge and reasoning to existing applications, databases, and environments, to make them friendlier, smarter, and more sensitive to user behavior and changes in their environments

  • Financial Transactions: Credit card providers, telecom companies, mortgage lenders, banks, and governments employ AI systems to detect fraud and expedite financial transactions, with daily transaction volumes in the billions. Fraudulous patterns are learnt automatically and used to detect new cases
  • Configuration AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum setup time. These systems detect order incompletenesses and inconsistencies
  • Medical advice AI-based systems assist physicians in many kinds of medical diagnosis, ranging from patient monitoring to illness recognition and medication advice
  • Manufacturing: The use of automatic scheduling for manufacturing operations is exploding as manufacturers realize that remaining competitive demands an ever more efficient use of resources. This same technology has proven highly effective in other commercial tasks, including job shop scheduling, and assigning airport gates and railway crews. It also has proven highly effective in military settings

About Us

Aikonsulting's mission is to become a worldwide player in Artificial Intelligence technologies and solutions for the industrial world. By providing a comprehensive expertise of combinable intelligence technologies and customizable solutions, Aikonsulting will evolve into a worldwide (A)IKON representing smart applications and intelligence in software.

Stefaan Decorte

Stefaan set up Aikonsulting in 2006 to facilitiate the buy-in of expertise in Artificial Intelligence, which is so difficult to find. He completed a Master's degree in IT at the University of Leuven (Katholieke Universiteit Leuven) in 1990 and a master's degree in Artificial Intelligence in 1992. In 1997 he finished his PhD. on the termination characteristics of executable logic. During that time, Stefaan has written several outstanding papers on executable logic, some of which are still being regarded as the reference paper in that area. Since his PhD., he has worked on several future research based companies, that were dependent on intelligent approaches. During these years he has contributed on intelligent emergent behaviors for fully autonomous robots, collaborative intelligence for massive multi-agent systems and . It was during these years when when he realised that not only high end companies need artificial intelligence solutions but almost every company faces the same challenges. These challenges include planning, learning, optimisation, search, ... Instead of each company trying to solve these problems in their own ad hoc way, it is more efficient to let the problem be analysed and solved by a expert company.

Investor relations

This section provides shareholders, analysts, the media and other interested parties with relevant information, enabling a transparent assessment of the company's value. Most documents are only accessible with login and password. Contact us if required.

  • Latest annual reports:
    2020 2019 2018
  • Investor presentations:
    march 2020
  • Annual General Meeting 2021: The 2021 Annual General Meeting is set to proceed on June 25, 2021 in the Ypres offices at 18:00
Learn More

Get in Touch

Aikonsulting is headquartered in Ieper, Belgium.

AIKONSULTING BVBA
Steenovenstraat 8
8900 IEPER

P: +32-494-42 46 71
E: info@aikonsulting.com
VAT: BE 0883.118.385
RPR: Gent afdeling Ieper

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