Defence and Aviation
Software for environments where systems simply have to work
We build digital systems for the needs of the defence industry, aviation and other safety-critical environments.
In these environments, software is part of operational capability. Systems must be reliable, provide a clear situational picture, support long lifecycles and operate as part of a regulated environment.
The goal is simple: a system that can be trusted even when conditions are demanding.
Defence and Aviation
Introducing new technology into critical systems in a controlled way
In safety-critical environments, adopting new technology cannot be based simply on whether a solution works in a demo.
Its behaviour must be understandable, testable and, where necessary, verifiable as part of a larger system. At the same time, the new solution must work with existing infrastructure, data and operating practices.
That is why we build not only the technology itself, but also a controlled path to deployment.
Defence and Aviation
How we can help
Data and situational awareness for decision-making
We build solutions that combine operational, sensor and historical data into a clear situational picture and support better decision-making.
These solutions can support areas such as monitoring, analysis, forecasting, anomaly detection and operational decision-making.
User interfaces for demanding situations
When users need to process large amounts of information and make time-critical decisions, the role of the user interface is to reduce cognitive load, not add to it.
We design interfaces where information prioritisation, situational awareness and predictable behaviour are central.
AI and machine learning as a controlled part of the system
When applying AI, what matters is not only what the model can do, but also how its behaviour can be constrained, tested and evaluated.
We build AI- and machine-learning-based solutions for areas such as analysis, detection, forecasting and decision support. In critical use cases, particular emphasis is placed on clearly defined scope, traceability, testability and human responsibility.
The goal is not an isolated AI demo, but a controlled solution whose behaviour can be evaluated at system level.
Simulation and validation
Not everything can, or should, be tested first in a live operational environment.
We build simulation and validation environments that allow new systems, operating models and technologies to be developed and evaluated in controlled scenarios without putting actual operations at risk.
Long-lived and maintainable systems
Safety-critical systems often have long lifecycles.
New capabilities must integrate with existing infrastructure, while the overall system must remain capable of evolving as requirements change.
We design and modernise software so that the system remains understandable, maintainable and manageable throughout its lifecycle.
Defence and Aviation
Why Monad
In safety-critical systems, a good technical solution alone is not enough.
It must work as part of the real operating environment, existing systems and the customer’s development, testing and validation processes.
We are at our best when the customer already has strong domain and system expertise, but needs additional capability in software, data, AI and design to make use of new technology.
We complement the customer’s own development capabilities and help bring together new technology, existing systems, user needs and production-grade implementation into one controlled whole.
We understand environments where long lifecycles, documented development, traceability, cybersecurity, testability and operational reliability are essential.
We build systems that can be trusted even when conditions are far from ideal.
Our experience
When new technology needs to be explored and piloted without putting operational activities at risk
In the TADA project, we developed a concrete machine-learning model to support air traffic controllers’ decision-making and piloted it using real operational data in a simulation environment.
The work combined machine-learning development, simulation, validation and human-centred interface design. This made it possible to evaluate the model in realistic scenarios without deploying it directly into operational use.
When training requires a realistic digital operating environment
Together with Lektor, we have developed a browser-based air traffic controller training platform in which theory, simulation and AI-powered interaction form a single integrated environment.
We have successfully worked with
Where should you start?
Development does not have to begin with a complete system renewal.
A first step could be, for example:
- concept development and technical validation of a new capability
- an AI or machine-learning proof of concept
- building a simulation or validation environment
- developing operational data and situational awareness
- redesigning a critical user interface
- planning the modernisation of an existing system or architecture
What should your system be able to do next?
We can review your current environment, objectives and key constraints, and use them to define the most sensible path towards a controlled solution suitable for operational use.
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Tomi Niemenmaa
Head of Sales