Applied AI for TN & NTN Communication Networks
AI-native methods for optimization, automation and robust operation across terrestrial and non-terrestrial communication infrastructures.
Explore this area →Applied AI · Communication Networks · Connected Systems
We develop advanced AI and optimization methods for complex technical systems, with a focus on operational performance, adaptive decision-making and measurable value.
What we do
Two application areas, supported by a common foundation in optimization, distributed intelligence and rigorous system design.
AI-native methods for optimization, automation and robust operation across terrestrial and non-terrestrial communication infrastructures.
Explore this area →Applied AI that turns IoT and operational data into forecasts, decisions and measurable business value.
Explore this area →Research & engineering capabilities
Resource allocation, scheduling and decision-making under operational constraints.
Terrestrial and non-terrestrial infrastructures with dynamic connectivity and distributed resources.
Intelligence distributed across heterogeneous computing, communication and edge resources.
Context-aware selection, orchestration and decision support for complex operational settings.
From methods to systems
Our work connects mathematical modelling, learning and optimization with implementation and evaluation. The objective is not AI in isolation, but methods that operate within real system constraints.
Represent system objectives, constraints and interactions.
Use data to estimate, forecast and adapt where analytical models are insufficient.
Turn system state and objectives into resource and operational decisions.
Evaluate performance through simulation, prototyping and experimental workflows.
Research & innovation background
Optivo draws on extensive prior experience in European collaborative research, direct industry projects, and activities supported by national funding programmes and public agencies.
Experience contributing to multidisciplinary research with academic and industrial partners.
Experience in focused research and engineering addressing concrete technical and operational problems.
Experience working in activities supported by national funding bodies and state agencies.
Collaboration
We are interested in collaborations where advanced AI and optimization can address real technical and operational constraints.