Nortech AI sits where a lot of owners are stuck: too many signals, not enough usable insight. From its roots in Bergen and a growing presence in Lisbon, the company plugs into vessel control systems, pulls out high-quality data and turns it into live KPIs, alerts and decision support, so superintendents and crews can see performance issues early, tune fuel and power use, and cut the manual grind of reporting while staying on top of emissions and CII exposure.
Nortech AI: Location
Harald Hårfagres gate 29, 5007 Bergen, Norway
Shipowners save by:
-
Turning scattered signals into one performance layer:
Nortech’s IIoT connectors pull real-time data from engines, auxiliaries,
fuel systems and control rooms into a single platform, so superintendents
and crews see the same KPIs instead of juggling screenshots and local logs. -
Cutting fuel waste with live efficiency trends:
Custom dashboards and trend analysis highlight off-design consumption,
/propeller deterioration and poor operating windows, helping trim
daily fuel burn and emissions without waiting for month-end reports. -
Reducing reporting workload and errors:
Automated vessel reporting and /KPI exports replace much of the
manual copy-paste work behind noon reports, CII follow-up and ESG packs,
freeing staff time while improving data quality. -
Strengthening maintenance decisions:
With high-frequency data feeds (and partnerships with predictive
maintenance specialists), the platform can surface abnormal behaviour in
critical equipment earlier, helping avoid expensive breakdowns and
off-hire days. -
Benchmarking vessels and routes:
Intra-fleet benchmarking lets owners compare sister ships and trades on
like-for-like KPIs, backing up decisions on where to deploy new tech,
retrofit packages or operational changes first. -
Accelerating digital projects:
Pre-built connectors, APIs and cloud infrastructure shorten proof-of-concept
cycles and avoid one-off “IT science projects”, so performance and
sustainability teams can get to a working dashboard faster. -
Leveraging connectivity partnerships:
Collaboration with maritime connectivity providers means vessel data
flows securely to shore with fewer integration headaches, which is
critical when rolling out performance monitoring across a larger fleet.
Planning note: real savings depend on fleet size, trade, data quality and
how consistently crews and shore teams act on the insights. Use Nortech’s
tools together with your fuel models, hull performance data and charter
constraints.
Notable mentions and references
Public references where Nortech AI’s platform, funding and impact are highlighted.
-
€2.5m seed round
• 2023
Climate-tech investorsCoverage in European startup media on Nortech AI’s €2.5 million seed
round, backing its Industrial IoT and AI platform to support
data-driven operations and lower greenhouse gas emissions in
maritime and other asset-heavy industries.
See:
EU-Startups
and
Tech Funding News. -
Thetius Top 150 2025
Innovation index listingNortech AI is included in the Thetius Top 150 2025 list of maritime
innovators, in the Startups & Scaleups segment, highlighting its
work on predictive analytics and AI-driven operational insight for
vessel operators.
Listing:
Thetius Top 150. -
“Reshaping the maritime industry with AI”
Innovation Origins profileInnovation Origins covers Nortech AI as part of a feature on climate
tech and maritime digitalisation, focusing on how its platform
supports a data-driven approach to sustainability and operational
efficiency in shipping.
Article:
Innovation Origins. -
“Norwegian Nortech AI raises €2.5m”
ArcticStartup coverageArcticStartup highlights Nortech AI’s specialisation in optimising
fuel consumption, navigation and equipment maintenance for maritime
operators using AI and real-time vessel data.
Article:
ArcticStartup. -
Jungle AI collaboration
Predictive maintenanceNortech AI’s partnership with Jungle AI combines high-frequency vessel
data collection with predictive maintenance analytics, creating a
joint offering aimed at earlier detection of machinery issues and
more efficient operation of critical equipment.
Overview:
Nortech × Jungle AI. -
Industry podcasts and commentary
Founder perspectiveCEO and co-founder Francisco Roque appears in industry podcasts and
interviews discussing how industrial data acquisition and AI can make
complex machinery more manageable and support better performance
decisions on board and ashore.
Example:
AI in the Maritime Industry.
Selection is indicative, not exhaustive. Use these links to sanity-check
claims, understand who is backing the company, and see how others frame
the business case for data-driven operations.
Data and AI savings (simple planner)
Estimate fuel, maintenance and admin savings from treating vessel data as a proper performance layer.
Vessels on the platform
Average fuel burn at sea (mt/day per vessel)
Days at sea per year (per vessel)
Fuel efficiency gain from better decisions (%)
Conservative values (1–3%) are typical starting points for voyage optimisation and better follow-up.
Fuel price ($/mt)
Annual maintenance cost in scope (per vessel, $)
Maintenance saving from earlier insight (%)
Applied to /hull maintenance where data and prediction change timing or scope.
/analysis hours saved per month (per vessel)
Fully loaded staff cost ($/hour)
Annual platform cost (per vessel, $)
Fuel saved per year (fleet)
0 mt
CO₂ avoided per year (fleet)
0 t
Annual $ saving (fuel + maintenance + time)
$0
Simple payback
—
Annualised ROI
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| Baseline fuel at sea (per vessel, per year) | 0 mt |
| Fuel saved (per vessel, per year) | 0 mt |
| Fuel saving value (fleet) | $0 |
| CO₂ avoided (per vessel, tCO₂/year) | 0 t |
| CO₂ avoided (fleet) | 0 t |
| Maintenance saving (fleet) | $0 |
| /analysis time saved (fleet, /year) | 0 h | Value of time saved (fleet) | $0 |
| Total annual saving (fleet) | $0 |
| Total annual platform cost (fleet) | $0 |
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