Core focus across INTUIT, BigData4ATM, NOSTROMO, SIMBAD, COMPAIR, BEACON, and AICHAIN — all directly addressing ATM performance modelling, benchmarking, or decision support.
NOMMON SOLUTIONS AND TECHNOLOGIES SL
Spanish data science SME applying AI and simulation to air traffic management, airport operations, and multimodal passenger mobility across Europe.
Their core work
Nommon is a Madrid-based data science SME specializing in analytics and simulation for air traffic management (ATM) and urban mobility. They build tools that turn large-scale passenger and flight data into actionable intelligence — trip origin-destination models, ATM performance dashboards, and real-time decision-support systems. Their work sits at the intersection of transport operations and applied AI, helping airports, airlines, and transport authorities optimize passenger flows, predict disruptions, and evaluate policy options using data-driven simulation rather than guesswork.
What they specialise in
IMHOTEP (airport passenger flow), TRANSIT (intermodal travel information), and MOMENTUM (urban mobility) all focus on understanding and managing how passengers move across transport modes.
ML appears in SIMBAD, NOSTROMO, AICHAIN, USEPE, and BEACON — applied to ATM optimization, drone separation, federated learning, and demand forecasting.
ITACA used agent-based modelling and gaming for technology adoption assessment; INTUIT built interactive toolsets for trade-off exploration.
AICHAIN explored federated machine learning with blockchain for privacy-preserving ATM data sharing — a new direction combining their ML and data management skills.
USEPE applied AI and ML to drone separation and deconfliction in European U-space, extending their ATM expertise into unmanned traffic management.
How they've shifted over time
Nommon entered H2020 in 2014 with foundational transport data analytics — trip origin-destination matrices (TripOD) and ATM performance visualization (INTUIT, BigData4ATM). From 2019 onward, their work shifted decisively toward applied AI: machine learning for ATM performance prediction (SIMBAD), federated learning with blockchain (AICHAIN), and AI-driven drone separation (USEPE). They also broadened from pure ATM into multimodal transport and passenger journey management, reflecting the sector's move toward door-to-door mobility thinking.
Nommon is evolving from a transport data analytics firm into an AI-for-mobility company, with growing capabilities in federated learning, drone traffic management, and cross-modal passenger intelligence.
How they like to work
Nommon leads more often than it follows — coordinating 7 of 13 projects (54%), which is unusually high for an SME. This signals strong proposal-writing capability and a willingness to take on project management responsibility. With 46 unique partners across 14 countries, they maintain a broad European network rather than relying on a small circle of repeat collaborators, making them an accessible and experienced consortium-building partner.
Nommon has built a network of 46 distinct consortium partners across 14 European countries, primarily through SESAR and transport research calls. Their heavy coordinator role means they are well-connected to ATM research institutions, airlines, airports, and technology providers across the EU.
What sets them apart
Nommon occupies a rare niche: a small company with deep ATM domain expertise AND serious data science and AI capabilities. Most ATM analytics providers are either large aerospace companies or academic groups — Nommon offers the agility of an SME with the technical depth of a research lab. Their coordinator track record (7 projects led) proves they can manage EU projects reliably, making them a low-risk, high-value partner for any transport or aviation-related consortium.
Highlights from their portfolio
- IMHOTEPLargest single grant (€496K) and coordinator role — tackled the complex problem of integrating airport operations data for real-time passenger flow management across multiple transport modes.
- SIMBADRepresents the convergence of Nommon's two core strengths — simulation modelling and big data/ML — into a unified approach for ATM performance analysis.
- AICHAINPushed Nommon into frontier territory: federated machine learning with blockchain for privacy-preserving ATM data sharing, signaling a move beyond traditional analytics.