Applied AI · Communication Networks · Connected Systems

Applied AI for communication networks and 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

Focused applied AI

Two application areas, supported by a common foundation in optimization, distributed intelligence and rigorous system design.

01

Applied AI for TN & NTN Communication Networks

AI-native methods for optimization, automation and robust operation across terrestrial and non-terrestrial communication infrastructures.

Network automation TN/NTN orchestration Distributed AI Resource management
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02

Applied AI for Business Value in IoT & Connected Systems

Applied AI that turns IoT and operational data into forecasts, decisions and measurable business value.

Forecasting Data-efficient learning AI-assisted optimization Agentic decision support
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Research & engineering capabilities

Technical depth across the decision stack

01

Optimization

Resource allocation, scheduling and decision-making under operational constraints.

02

Communication Networks

Terrestrial and non-terrestrial infrastructures with dynamic connectivity and distributed resources.

03

Distributed AI

Intelligence distributed across heterogeneous computing, communication and edge resources.

04

Agentic Decision-Making

Context-aware selection, orchestration and decision support for complex operational settings.

From methods to systems

From advanced research to practical technology

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.

01

Model

Represent system objectives, constraints and interactions.

02

Learn

Use data to estimate, forecast and adapt where analytical models are insufficient.

03

Optimize

Turn system state and objectives into resource and operational decisions.

04

Validate

Evaluate performance through simulation, prototyping and experimental workflows.

Research & innovation background

Experience built for collaborative R&D

Optivo draws on extensive prior experience in European collaborative research, direct industry projects, and activities supported by national funding programmes and public agencies.

European R&D

Experience contributing to multidisciplinary research with academic and industrial partners.

Industry collaboration

Experience in focused research and engineering addressing concrete technical and operational problems.

Public research programmes

Experience working in activities supported by national funding bodies and state agencies.

Collaboration

Working on a complex communication or connected-system challenge?

We are interested in collaborations where advanced AI and optimization can address real technical and operational constraints.

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