Advanced AI solutions
We build AI solutions for situations where off-the-shelf models or conventional approaches are not enough.
Our solutions make it possible to solve problems in environments where data is complex, operating conditions are demanding and the outcome must be reliable. In these cases, we build, fine-tune and optimise models specifically for the intended use case.
Advanced AI solutions
Where these solutions are used
Advanced AI solutions are particularly valuable when a problem cannot be solved directly with ready-made tools or general-purpose models.
Typical use cases include:
- predictive models that account for multiple variables and complex dependencies
- optimisation problems such as routing, resource allocation and operational planning
- computer vision and speech solutions that require domain-specific fine-tuning
- real-time decision-making in critical operating environments
- models optimised for limited computing resources and edge environments
- situations where data is fragmented, incomplete or difficult to interpret
In these cases, the solution is not a single model, but a combination of data, algorithms and systems.iä.
Examples of our work
Building a real-time operational picture
We have developed a solution that combines information from multiple data sources and identifies operationally relevant targets in a demanding environment. The solution supports the creation of an up-to-date operational picture and decision-making in situations where accuracy and reliability are essential.
Aviation development project – decision support
As part of a broader development initiative, we built an AI-based solution to support operational planning and optimisation. The solution combines forecasting, analytics and decision support in an environment where its impact extends across a wide range of operational activities.
How these solutions connect with other AI capabilities
Advanced AI solutions complement agents, computer vision and speech solutions when off-the-shelf models alone are not sufficient.
They can operate in the background, for example, to support agent decision-making, computer vision analysis or speech understanding. This creates a broader system in which different AI components work together and reinforce one another.
How we work
We start by identifying the process where automation can deliver clear and measurable value.
We then define the required data, integrations and implementation approach, and build the first version for practical validation. Once its performance and value have been verified, the solution is integrated into existing systems and scaled in a controlled manner.
Advanced AI solutions
Why Monad
We build AI solutions for environments where processes need to work reliably and systems need to work together seamlessly.
We combine design, software engineering, AI and domain expertise to create solutions that work in practice and stand up to real-world use.
We work particularly in quality-critical and regulated industries, including defence, aviation, healthcare, industrial systems and mobile machinery.
In these environments, technology alone is not enough. We solve complex problems where processes, data and real-world operating conditions must work reliably every day.
Get in touch
Where could advanced AI solutions create the most value for your organisation?
Let’s explore where AI requires a tailored approach and how to move forward in a controlled way.
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Tomi Niemenmaa
Head of Sales