SciTransfer
Organization

MASSTERLY AS

Norwegian maritime autonomy company delivering AI fleet intelligence, digital twins, and hydrogen propulsion expertise for smart and green shipping.

Maritime technology companytransportNOThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€195K
Unique partners
30
What they do

Their core work

MASSTERLY AS is a Norwegian private company specializing in autonomous shipping technology and maritime digitalization. Their core work involves developing AI-driven systems for vessel traffic management, fleet intelligence, and route planning optimization, using digital twins and large-scale simulations to model and improve maritime operations. They also contribute to the green maritime transition by engaging as an industry partner in liquid hydrogen propulsion demonstration projects. Their offer bridges operational shipping expertise with advanced data analytics — making them relevant to both the automation and decarbonization agendas of the European maritime sector.

Core expertise

What they specialise in

Maritime autonomous systems and AIprimary
2 projects

Both VesselAI and HyShip position MASSTERLY within the autonomous and zero-emission shipping landscape, with VesselAI explicitly listing 'autonomous ships' as a core keyword alongside fleet intelligence and route planning.

Digital twins and maritime simulationprimary
1 project

VesselAI (2021-2023) is built around digital twin technology and extreme-scale analytics applied to maritime digitalization, with simulations listed as a distinct technical contribution.

Vessel traffic management and route optimizationprimary
1 project

VesselAI's keyword set includes 'vessel traffic management' and 'route planning optimisation' as named technical areas, indicating direct operational expertise.

Ship energy design and fleet intelligencesecondary
1 project

VesselAI keywords include 'ship energy design' and 'fleet intelligence', pointing to capability in energy-efficient operations at fleet scale.

Liquid hydrogen for maritime propulsionsecondary
1 project

MASSTERLY participates as third party in HyShip (2021-2025), a FCH2-IA demonstration project proving liquid hydrogen as a viable zero-emission fuel for the maritime sector.

Evolution & trajectory

How they've shifted over time

Early focus
No earlier H2020 period
Recent focus
Maritime AI, digital twins, hydrogen shipping

With both projects starting in 2021, there is no earlier H2020 period to contrast against, so a meaningful keyword-shift analysis is not possible from this data alone. What the record does confirm is that by 2021, MASSTERLY's focus was already sharply defined: AI-driven maritime digitalization on the operational side (VesselAI) combined with hydrogen propulsion on the decarbonization side (HyShip). This dual-track entry into the EU research space suggests a company that arrived with a clear industrial agenda rather than a lab gradually finding market relevance.

MASSTERLY is establishing credibility at the intersection of maritime autonomy and green propulsion simultaneously — a positioning that aligns directly with Horizon Europe priorities on sustainable and intelligent transport.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European10 countries collaborated

MASSTERLY joins consortia as a specialist contributor rather than project leader — holding participant and third-party roles across both projects, with no coordinator credits. Despite this, their network footprint is disproportionately large: 30 unique partners across 10 countries from just two projects, which reflects the large, multi-actor consortia typical of maritime digitalization and hydrogen demonstration calls. Working with them likely means gaining access to operational maritime industry know-how and an established Norwegian shipping and energy network that few academic or SME partners can match.

MASSTERLY has connected with 30 unique partners across 10 countries through only two projects, a network scale more typical of organizations with five or more EU projects — reflecting the large, industry-heavy consortia in which they operate.

Why partner with them

What sets them apart

MASSTERLY occupies a rare niche: a Norwegian private company that combines maritime operational expertise with AI, digital twin technology, and hydrogen fuel engagement in a single portfolio. Most maritime tech players focus either on software or on propulsion systems — MASSTERLY bridges both, making them a natural fit for cross-cutting maritime consortia that need an industry anchor with credibility on both axes. Their location in Lysaker — the hub of Norway's shipping and energy industry — gives them proximity to major ship owners, classification societies, and technology firms that few research-oriented partners can replicate.

Notable projects

Highlights from their portfolio

  • VesselAI
    The most technically detailed project in the portfolio, VesselAI applies extreme-scale analytics, AI, and digital twins to maritime operations and is the sole source of MASSTERLY's documented technical keywords and their only direct EC funding (EUR 195,000).
  • HyShip
    A FCH2-IA demonstration project running through 2025, HyShip targets liquid hydrogen for commercial maritime use — MASSTERLY's third-party role signals industry-level engagement in one of the EU's flagship green shipping initiatives.
Cross-sector capabilities
Energy transition — hydrogen propulsion and ship energy design transferable to port infrastructure and offshore energy systemsDigital infrastructure — extreme-scale analytics and digital twin methodology applicable to logistics, industrial IoT, and smart portsClimate and environment — zero-emission maritime operations relevant to EU decarbonization targets beyond the shipping sector
Analysis note: Profile is based on only two projects, both starting in 2021, which prevents any temporal evolution analysis. The VesselAI keyword set is detailed and informative; HyShip data is sparse (no EC funding figure, no project keywords). Confidence is low due to data volume, not inconsistency — the available signals are coherent and the organizational positioning is clear.