innovating together

Ai4Value

Seek out intelligent solutions and
boldly go where no hype can take us!

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Who are we?

The founders of Ai4Value, Katriina and Pasi, have a total of 30 years experience in AI.

Katriina

Katriina has a profound view of the AI business through her previous work as a Gartner Vice President of Research and is also known as an evangelist for Robotic Process Automation.

Pasi

Pasi is a seasoned IT Professional who has developed several AI algorithms and practical AI solutions for his clients in his former own company, Studio Mind.

Maria


Maria is full-stack developer skilled in Python, GPT 3.5, ChatGPT, transl. models & natural lang. models.

Juhani


Dr. Juhani is the lead developer in Ai4value team. His expertise areas are related to AI based predictive models and software development.

Ai4Value always on the forefront!

At Ai4Value, we have used large language models: OpenAI GPT-3, GPT-3.5, and ChatGPT from the very start. But we also understand that some businesses need to keep their data confidential. That's why we've also developed our own powerful tools, including Textplorer, Ontology, and Recommendation Engine, to ensure that you get the results you need without compromising your privacy.


01

Pre-Built Solutions with Clean Coding Principles

We specialize in creating pre-built solutions that adhere to "clean coding" principles. Our solutions are designed to be efficient, requiring less code, and easy to maintain. We thoroughly test and document our solutions to ensure that they meet our high standards. Our approach involves developing feature-based modules that are then integrated into an operational solution.

02

80:20 Principle

Our approach is to have 80 % of the work done already prior to the client project, meaning that we can use our pre-productized modules in order to speed up the development cycle. We never start from scratch and that makes us able to produce results far quicker than you would expect. All Ai4Value components and solutions are rigorously tested prior to release.

03

Sustainable and flexible

As part of the EU Horizon project (AshCycle) led by the University of Oulu, Ai4Value is contributing its expertise in developing a modeling system that decreases carbon emissions from ash re-use. Our solution can be customized to any scenario that requires optimization. This flexibility ensures that it is not limited to just one use case, generating value for a broad range of applications.

Start your project with Ai4Value!

Proven and pre-trained use cases.

Master data cleaning

Don't let dirty data hold you back. Our data cleaning services save you time, money, and frustration by ensuring your AI projects are always built on a strong foundation.

Ontology creation

The cutting-edge technology that automatically maps out relations and context to provide a strong foundation for any NLP/NLU project. Unlock the full potential of your data with our advanced ontology creation software, which automatically generates a comprehensive understanding of your data's relationships and structures. Streamline your data analysis process and gain valuable insights.

Supply chain optimization

Transform your logistics operations with our state-of-the-art solution, designed to help you minimize costs and maximize efficiency. Take advantage of the latest in AI technology to optimize your logistics cycle and achieve unparalleled performance with our innovative tool.

Intelligent process automation

Traditional robotic process automation (RPA) is frequently hindered by unstructured data.​ Furthermore, process type or path might depend on interpretation of data.​ Machine learning (ML) algorithms enable robot to learn an ideal way to work in complex environment.​ AI-powered robots can also assess confidence level and associated risks for each task.

Sentiment analysis

Extracts valuable insights from customer feedback: Our sentiment analysis tool is perfect for identifying customer sentiment in survey results and communication channels.

Recommendation engine

Our engine is designed to handle large datasets such as technical documentation, legal texts, and research, using a powerful learning algorithm that suggests the most relevant information for the user.