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Round 3 Challenges and Successful Startups.

Innovative Risk Detection Methods.

Round 3 Overview: For this round, our challenge partners came from the marine, energy and food industries respectively. Shell, Benugo and Wallenius Wilhelmsen each sought innovative solutions to detect risk and sought applications from startups who had developed such solutions. Effective risk detection methods can potentially prevent safety incidents from occuring. 


Challenge: Early detection of gas leaks onboard a Liquid Natural Gas (LNG) tanker.

Set in conjunction with Shell

Natural Gas is transported, cooled and pressurised by specially designed Liquid Natural Gas (LNG) tankers, that hold a large quantity of pipes above deck. Hydrocarbons such a methane can leak from these pipes, via flanged connections, instrument take off, or pipe failure. It is challenging to detect these minor leaks because LNG tankers operate in high winds and moisture levels. However, failure to detect even minor leaks can result in risk to assets, personnel and the environment.

This challenge set in conjunction with Shell, one of the largest oil and gas companies in the world, seeks innovative methods to detect these minor gas leaks onboard an LNG tanker, using sensor technologies or other approaches. The proposed detection solution should be safer, cost effective and should have capabilities to continuously monitor the entire cargo area. More specifically, the solution should be able to detect leaks below the level a human can detect using sight or sensations, and potentially down to 0.4g/hr.


M Squared is an innovative award-winning manufacturer of lasers and associated systems. MSL is vertically integrating into its core sectors of biophotonics, quantum technologies and industrial sensing, commercialising novel technology such as microscopes, gravimeters and standoff chemical sensors.

NeuroControls builds 360 scanners with uncooled LRIS (Long Range Infrared Sensor) to detect LNG Gas Leaks within 500m range. Multiple 360 scanners will allow precise localization of gas leak sources. These gas leak radar maps are communicated via overlays to the vessel information displays.

Noiseless Acoustics develops predictive maintenance solutions that turn sound into value using advanced signal processing and machine learning. They literally make sound visible with the NL Camera, which is great for locating faulty components and medium-sized leaks. The NL Sense provides continuous monitoring of assets such as motors.

Zol Dynamics is an R&D based ocean-tech startup serving the offshore and marine industry. They specialise in advanced engineering analysis of fluid dynamics. Their innovation is recognized by the National Research Council of Canada.

Winner: M Squared


Challenge: Pre-fire Heat Change Detection Onboard Ships.

Set in conjunction with Wallenius Wilhelmsen

Fire remains one of the biggest risks to safety and assets on board a cargo ship. Despite fire safety and detection best practice on board, increases in thermal levels of cargo vehicles remains a challenge to detect. Wallenius Wilhelmsen (WW) are one of the world’s largest global vehicle carrier operators. They’re seeking innovative solutions which could deliver real-time, early detection of such thermal level increases of transported vehicles. These temperature increases can potentially result in a fire, so early detection can be key to saving lives. WW are looking for sensor-led solutions to detect these small increases in thermal levels in very large and specific locations onboard, in real-time.

Applicants should consider how their proposed solution would be able to detect the abnormal thermal increase across a whole ship and locate its source on a deck, across multiple specific locations. Communication of the results to a warning panel, ideally through real-time monitoring, is also a preferred specification. The solution should also produce little or no false positives, should be cost-efficient and user friendly.


CartaSense focuses on the Internet of REAL things, offers end-toend monitoring and alerting capabilities as well as services for Cold-Chain, environmental and agricultural applications. CartaSense’s exclusive real time environmental information, with modern machine learning and AI tools, derives unleashed value in the supply chain. The efficient real-time business decisions reduce logistics expenses and increases customer profits.

Cratus provides monitoring solutions which includes connected sensors with edge computing, mobile applications, gateway solutions and a cloud platform to ingest and distribute data and valuable information for your shipments. They provide an AI platform to bridge the gap between business intelligence and the physical world, making it extremely easy to access to real time sensor data and analytics for enterprise software.

MonoLets provides a real-time data stream using a wireless mesh network with low cost disposable wireless sensors. The standards compatible (BLE/15.4) wireless mesh network improves the coverage, reliability and robustness of the wireless network, which is a prime concern for saftey-critical applications. The wireless modules have a built-in temperature sensor and other sensors (eg; MEMS based sensor) can be attached as appropriate.

OneEvent Tech was born from the idea that a single event can change a life forever. OneEvent Technologies delivers patented technology that produces property protecting and lifesaving predictive analytics data for the property and casualty insurance industries, commercial, industrial and residential markets as well as the fire, safety, and security sectors. OneEvent is shifting the industry paradigm from reaction to prevention.

Winner: Monolets


Challenge: Tracking, Detecting and Communicating Accurate Allergen Data in Restaurants.

Set in conjunction with Benugo

Allergen detection and tracking in food is becoming increasingly challenging, as food supply chains become more diverse and complex. Similarly, labelling food products and alerting consumers to the presence of such allergens is not without its problems. It is especially difficult in restaurants, office cafeterias, and hospitality services where menus and ingredients change daily or weekly and where kitchens are controlled by chefs locally, rather by central management. Ensuring a customer is aware of the potential allergens in their food is critical, particularly given the rise of food allergies globally, not to mention the risk of serious illness or death.

This challenge, set in conjunction with the UK's leading independent hospitality provider, Benugo, seeks innovative digital solutions to enable accurate allergen tracking, detection and communication. Applicants should consider how their solution address at least one of the challenge parts: To make it safe for restaurant chefs to buy from a local source, capturing allergen data from purchased ingredients that may not come with product specification sheets; To accurately communicate user-friendly allergen information to consumers; To provide a rapid, cost-effective detection “test” for allergens in a menu item.

Allergy Amulet is creating a paradigm shift in food safety and transparency with a rapid and portable food allergen/ingredient detection device. It allows users to quickly test their food for unwanted allergenic ingredients (e.g. peanuts). The Allergy Amulet can be configured as a wearable or attached to everyday products.

Allerguard brings a new concept for food allergens detection by using chemical sensing and machine learning technologies. Allerguard’s team is developing a personal allergens sensor that will enable the allergic person to scan his/her own food before consuming it and to know whether or not it is safe to eat.

AX Semantics provide high end technology - a semantic software that creates automatic text content based on data only - in the quality of a human editor, but at the speed of a machine. A team of programmers and linguists programmed language for AX semantics: Different language algorithms are translated into computational rules and semantic logics are added via narrative schemes. AX “reads” client’s data (e.g.product data like fabrics and color), interprets, identifies and correlates the data, gives it a semantic meaning and puts it together into a high quality unique text with added value and meaning.

Winner: Allergy Amulet

Round 2: Detecting Safety Risks in Critical Infrastructure Industries.

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