You can explore some of the innovative use cases deployed by IMDA Spark companies.

Ackcio | Ailytics | Attivo Networks | Beknown | DataMesh | EliteFit.AI | GeoSpock | PI.Exchange | Silver Wings XRStemly | uHoo | VIATICK | Virspatial


IMDA Spark Programme: Ackcio Beam used to monitor sensors on a tailings dam at a gold processing facility in Kalgoorlie, Western Australia

Use Case 1: Tailings Dam Monitoring – Australia

Ackcio Beam was used to acquire and transmit data from sensors monitoring a tailings dam for a gold processing facility in Kalgoorlie, Western Australia. 

For this tailings dam, our client installed piezometers to monitor pore water pressure. Monitoring of these piezometers would be costly and impractical with traditional cable-based or manual monitoring systems due to the remote location and vast area. Our client opted to use Ackcio Beam. Ackcio Vibrating Wire 1-Sensor Nodes were deployed to transmit readings from the Piezometers to Ackcio Gateway every 30 minutes. 

In-place inclinometers will be installed to monitor embankment deformation of the dam. Ackcio Digital Nodes will be deployed to monitor these inclinometers. Ackcio Beam’s highly scalable system allows these new Nodes to transmit data to the same Gateway. 

By using Ackcio Beam, our client obtained regular real-time readings from a robust and reliable wireless monitoring system. This led to their increased awareness of the dam’s stability and alleviated the high labour costs of manual or semi-automated monitoring for a large geographical area. 

The flexibility and scalability of the system made it easy to expand the monitoring network by adding nodes for MEMS, in-place inclinometer sensor chains, seamlessly integrating into the existing Ackcio system.

IMDA Spark Programme: MEMS tiltmeters and LVDT sensors at the construction site of Xinzhuang Depot, Taipei Metro

Use Case 2: Xinzhuang Depot - Taiwan

Taipei Metro recently began construction on Xinzhuang Depot in the Xinzhuang MRT Station. The construction site lies within a zone where soil integrity is highly unstable. To address this issue, our client was appointed to monitor the ground and structure for abnormalities and discern site displacements and tilts, by using MEMS tiltmeters and LVDT sensors. 

Monitoring these sensors is essential, but both cable-based and manual monitoring systems were deemed unfeasible. The former came with the risk of cable damage posed by the tunnel that would result in high maintenance costs, and the latter would lead to significant time consumption, high probability of inaccurate readings, access difficulty, and considerable risk to worker safety. 

Our client opted to use Ackcio Beam for wireless monitoring. Ackcio Analogue 4-Sensor Nodes were deployed in the train tunnel to transmit tilt and LVDT sensor data to a single Gateway mounted above ground. Due to the low signal range within the tunnel, Relay Nodes were installed to ensure reliable data transmission from Analogue Nodes to the Gateway. 

Our automated wireless monitoring system uploaded accurate and reliable data in real-time to our client’s server at less than half the cost of a cable-based or manual monitoring solution.


IMDA Spark Programme: Dashboard analytics and real-time location monitoring with Ailytics's solution at Jurong Innovation Distract's site

Use Case 1: China Construction (South Pacific) Development Co - Singapore

China Construction is the largest building contractor in Singapore and they are currently building a portion of the future Jurong Innovation Distract. The project is a massive 600-hectare development comprising four industrial buildings will help push Singapore to the forefront of advanced manufacturing globally. 

Ailytics's solution is currently being used to aid in the detection of 3 critical hazardous scenarios, workers near an open edge, under lifted loads, and in the proximity of operating heavy machinery which are also the top 3 causes of major accidents or fatalities at construction sites globally. Their solution tapped into the existing camera infrastructure that was already present at the construction site and went fully live just within 2 weeks. 

The solution has enabled them to pick up 7x more hazards and also run round-the-clock, sending alerts to the team even when they are not at the site. Ailytics has over 30+ users monitoring, tagging, following up with subcontractors, and reporting the hazards and undesirable behaviour detected from their system.

Attivo Networks

IMDA Spark Programme: Diagram showcasing cyber security attacks and Attivo Networks' Deception solution prevents the threat

Use Case 1: Ransomware Caught In Healthcare

This type of attack can do a great deal of damage very quickly. It attacks the victim’s system, encrypting or compromising files on the host, and accessible file shares are then spread to other hosts. One solution to combat this is Attivo Networks' deception technology, which is proven to derail ransomware attacks by luring the malware out of their hiding. This can greatly enhance cyber security and protect against potential threats. This is accomplished using decoy systems, including network file shares, and the placement of deceptive assets on the endpoints, including deceptive credentials and fake file shares. As these attacks will typically attack both local and network files, they will also engage assets stored on the BOTsink server. Once that happened, any activities will immediately trigger an alert while keeping the attacker engaged within the deception environment. This will serve as early warning alerts and provides the incident response team time to react.

IMDA Spark Programme: A diagram of Active Directory (AD) Secure module from Attivo Networks

Use Case 2: Active Directory (AD) Attacks in Financial Institution

By design, Active Directory (AD) will readily exchange information with any member system it manages. This is exploited by attackers to extract information on the entire domain easily. Security teams may not realise cyber security threats on AD are occurring because such activities will appear as if AD is providing the data to a member system. 

Knowing this challenge, the Attivo Networks – ADSecure module provides a new approach to preventing cyber criminals from successfully reaching and compromising AD. It uses deception technology to accurately detect and derail the lateral movement of attacks. Once deployed, the ADSecure will respond to malicious queries attempting to harvest AD data. The solution counter the AD attack by replying with deceptive data, hiding the privileged credentials, and altering real credentials values. With ADSecure, organisations can efficiently intercept advanced attacks (APTs) and remediate accurately.


Does Meritocracy works in Singapore?

Use Case 1: The Case of Meritocracy for Singapore

We want to know if Meritocracy still works for Singapore in today's context. To do that, OPPi conducted a survey of 2000 Singaporean respondents to gain insights into the nation’s meritocratic system and what people desire from it's leader. Read more here -

Working with organisations to tackle substainability issues

Use Case 2: Working with organisations to tackle sustainability issues

OPPi worked with SG Green Groups Town Hall to engage with the local community of environmental activists to find out what they thought about the proposed plan. We ran a total of two OPPi crowdsourcing campaigns — one on climate and biodiversity budget cuts among 58 participants, and another on the 2021 Committee of Supply (COS) Debate among 41 participants — across the span of a month, and uncovered some intriguing points of conversation.
Read more here -


IMDA Spark Programme: Obayashi Group construction team using DataMesh Director for railway construction planning

Use Case 1: Construction Planning

In the construction industry, the construction team of Obayashi Group, the largest contractor in Japan, uses DataMesh Director to help railway construction and planning to improve the efficiency of the construction process on the project site. At present, dozens of Japanese contractors have adopted DataMesh products.

IMDA Spark Programme: DataMesh FactVerse in action at Asia's largest logistics airport, simulating a plane about to take off

Use Case 2: Virtual Facilities Operation

Asia's largest logistics airport uses DataMesh FactVerse to import BIM data to realise a full set of air traffic control system simulations and a wide range of scenarios such as planning, training, and management.


IMDA Spark Programme: Screenshot of Simple Soulful yoga app with EliteFit.AI integration, showing an accuracy score during the workout


Simple Soulful  by Shilpa Shetty (one of India’s biggest Bollywood stars) is a very popular global yoga app with over 6 million subscribers. The app provides users with many features mainly: Asanas, Exercises, and Recipes. The main gripes users have with online workouts is they do not know if they are working out correctly and how do they correct their forms and postures if they are working out. This is especially so for yoga asanas, where users may be required to hold certain poses longer than usual. EliteFit.AI solves for both of these cases at once. By integrating EliteFit.AI into the app, users will now have a stick figure tracking their movements while working out against the trainer. The user will get real time prescriptive feedback on how to improve their workouts as well as an accuracy score at the end of their workouts. These scores can be tracked so that users can continually improve themselves while working out.

IMDA Spark Programme: Screenshot of FITA app with EliteFit.AI integration, showing a stick figure tracking user movements during workouts

Use Case 2: FITA

Telkomsel is Indonesia’s largest telecommunications carrier with over 170 million subscribers. During the Covid 19 pandemic, many lives of Indonesians were changed and they became more aware of the importance of their health. Thus, the FITA app was created by Telkomsel to solve this issue. FITA offers users customised workout programmes based on their lifestyle choices and preferences. However, the app does not tell the users how they are performing and how to correct their postures and forms. Thus, by integrating EliteFit.AI into the app, users will now have a stick figure tracking their movements while working out against the trainer. The user will get real time prescriptive feedback on how to improve their workouts as well as an accuracy score at the end of their workouts. These scores can be tracked so that users can continually improve themselves while working out.


IMDA Spark Programme: Dynamic maps and emissions analysis of the Maritime Emissions fleet's footprint at local, regional and global levels

Use Case 1: Dynamic Mapping of Maritime Emissions with the Baltic Exchange

GeoSpock partnered with the Baltic Exchange, a leading maritime services organisation and wholly owned subsidiary of the Singapore Exchange, to build an advanced repository of maritime emissions information for mapping and analysis.

GeoSpock combined 5 years of global maritime AIS tracking data with advanced emissions modelling techniques to generate an interactive database of maritime emissions. By interacting with the database, users are able to generate dynamic maps and analysis of the emissions footprint of the commercial maritime fleet at local, regional and global levels. Emissions figures are provided for greenhouse gases such as CO2 as well as those with specific public health impacts such as SOx and NOx.

As the main datastore and query engine underpinning the maritime repository, GeoSpock DB’s ability to provide rapid, scalable analytics on large and ever-growing data volumes such as that generated by maritime vessel tracking was key to creating a flexible platform for emissions analysis and visualisation.

The repository is an important step towards measuring the impacts of maritime emissions on public health in port cities, as well as quantifying and correctly apportioning carbon emissions within the maritime supply chain.

IMDA Spark Programme: GeoSpock DB database visualising traffic patterns in Cambridge city centre using ANPR data

Use Case 2: Smart Cambridge congestion reduction

GeoSpock worked with Smart Cambridge and Cambridgeshire County Council to examine traffic congestion hotspots within the historic UK city to help inform transport infrastructure investment and development.

GeoSpock ingested Automatic Number Plate Recognition (ANPR) data into GeoSpock DB to build a database of traffic patterns for Cambridge city centre, with a particular focus on understanding commuter patterns into the city from major out of town trunk roads.

Using GeoSpock DB, the Smart Cambridge team was able to rapidly query the complex traffic data for further analysis. Major insights included information relating to the mix of private and goods delivery vehicles using the road during rush hour periods, which was used to recommend new restrictions on delivery vehicles at certain times of day. Hotspot areas where traffic regularly exceeded roadway capacity were also identified for future infrastructure development and improvement.

GeoSpock DB’s ability to ingest a wide variety of datasets and fuse them together for complex analysis is also helping drive the development of new, mobility-as-a-service innovations in the Cambridge region, with a focus on making transport cleaner and more efficient for all.


IMDA Spark Programme: Hands typing on a keyboard with a globe overlay, representing the utilisation of AI & analytics engine


PI.EXCHANGE partnered with a Cyber Intelligence Analysis firm (WorldStack) to power their cyber surveillance and intelligence platform with predictive insights. The machine learning solution was developed with the AI & Analytics Engine and automatically analysed large volumes of cyber surveillance data as well as predicted, identified and triaged potential "matters & persons of interest" in relation to potential malicious intent over time.

The Client was able to see demonstrable value in quickly modelling historical labelled data, and deploying to production a fully integrated prediction API with continuous learning capability in 10 days.

Read more here

IMDA Spark Programme: Cargo ships at sea, representing PI.EXCHANGE's resource-efficient solution and the AI & Analytics Engine


Golden Agri, an intermodal maritime logistics company wanted to use predictive modelling to improve the speed and accuracy of forecasting demand. PI.EXCHANGE presented a resource-efficient solution to predict the itinerary of competitors vessels and time at port using historical data and the AI & Analytics Engine. This enabled a better understanding of the short term fluctuations in global vessel movements so that the client could predict demand and coordinate their fleet for maximum asset and capacity utilisation with minimal idle time.

Read more here

Silver Wings XR

IMDA Spark Programme: A virtual map of NUS Mediverse

Use Case: NUS Mediverse

A Metaverse solution for prospective students to experience NUS Medicine's offering in an amazing, engaging and interactive 3D way.

Roam around and explore the 3D spaces within the NUS Mediverse. They aim to deepen NUS Medicine's relationship with students and foster a sense of community amongst students through personal sharing and networking with peers/faculty/staff.

The experience starts with an instant wow; a futuristic 3D campus, where students can select their favorite zone to enter.

Once inside the 3D zones, as avatars, the students can interact (talk / chat-message) with each other or with NUS representatives and they can interact with a large quantity of content. There are videos, images, links to websites and 360 images. The spatial sound makes the experience even more realistic. And multiple people can watch videos together.

The NUS Mediverse, which runs for a full calendar year, is part of the prospective student experience journey. 

With this experience, they want to co-create an innovative yet deeply human experience that will leave an unforgettable impression on prospective NUS Medicine students.

They invite you to go to and experience the metaverse yourself.


Use Case 1: Global Beauty Inc

Global brand owner (“Global Beauty Inc.”) was struggling with demand planning and operational inefficiencies. Manual generation and updates of forecasts caused delays and inaccuracies, driven by human errors and poor collaboration between business units that resulted in sub-optimal decision making. Additionally, replenishment planning from and to warehouses, as well as production planning at the contract manufacturer, were difficult to arrange for due to lead times and minimum order quantities constraints.

To address these issues, Global Beauty Inc. sought to automate their forecasting and optimisation workflow to make better-informed decisions. Stemly focused on providing a solution that could facilitate both replenishment and production planning while considering multiple constraints provided by Global Beauty Inc. Stemly’s comprehensive Demand Planning solution leverage advanced machine learning techniques enabled the company to see improvements in forecast accuracy and Stemly’s replenishment planning solution reduced inventory (30% reduction at branch warehouses) across Greater China, while maintaining the same service level. By automating the generation and update of forecasts, demand planners now have an accurate and timely view of changes in demand patterns, as well as improved operational efficiencies and service levels beyond what the company had initially expected.

Use Case 2: Ace Supermart

Retail businesses often require efficient and highly accurate supply chain management. Regional retailer (“Ace Supermart”) faced lower forecast accuracy and out of stock situations and operational inefficiencies with their manual ordering system.

Ace Supermart aims to streamline their ordering process, eliminate human error, and ensure that the company meets the daily service level of goods being delivered to the stores at retail level as a centralized planning function. To achieve this, they focused on providing a fully automated replenishment system for Ace Supermart that manages the end-to-end fulfilment process for them.

Stemly’s comprehensive retail planning solution combined with advanced algorithms, helped to improve forecast accuracy, reduced inventory levels, lower stock-outs, and improved inventory turnover metrics. Ace Supermart saw a significant 5 to 10% improvement in their service levels, as well as achieving forecast accuracy of up to 97% for their products at the SKU level.


IMDA Spark Programme: C&W Services' office space after installing multiple  uHoo Aura air quality monitors

Use Case 1: Cushman and Wakefield – Enhanced IAQ 

Employees' increasing concern about wellbeing has encouraged more companies to put focus on workplace health and safety. One of these companies is Cushman and Wakefield or C&W Services. 

Refining its workplace sustainability efforts in its new 36,000-square-foot facility in Chai Chee, the leading global real estate services firm recognizes that long-term workplace sustainability requires a stringent approach to health and wellness while contributing to the environment they work in, with the use of green technology. 

As part of its efforts to optimize its employee health and environmental sustainability, C&W Services installed multiple  uHoo Aura air quality monitors to make sure that the facility’s air quality complies with the WELL Building Standards. With the uHoo Aura device’s capability to provide minute-by-minute indoor air quality readings, C&W Services are able to quickly pinpoint issues and are empowered to make fact-based decisions to eliminate the source of air pollution, improve ventilation, and keep the levels of air quality factors always in its optimal condition. 

By installing uHoo Aura, C&W Services enhances the health, comfort, and wellbeing of their staff, and advances their path towards achieving the WELL certification.

IMDA Spark Programme: TV screen on the wall and uHoo Aura indoor air quality monitoring device in a Standard Chartered Bank office

Use Case 2: Standard Chartered Bank – A Healthier, Safer Workplace

As part of their drive to optimize indoor air quality and meet their ESG objectives specific to health and wellbeing, the Standard Chartered Bank, a multinational bank with operations in consumer, corporate and institutional banking, and treasury services deployed multiple uHoo Aura indoor air quality monitoring device across its entire office in Vietnam. 

uHoo Aura monitors 13 to 15 gasses, particles, chemicals, and other factors present in the air within buildings. By providing continuous and real-time indoor air quality data, uHoo Aura helps Standard Chartered Bank to identify air quality issues and eliminate potential sources of poor air quality. Through the efforts to improve the air their employees breathe, Standard Chartered Bank is able to protect health and boost their workers' productivity. SCB will also publicly display the real-time condition of their office via large screens to promote greater transparency to their employees about workplace health and contribute towards the United Nations SDG 3.


IMDA Spark Programme: VIATICK's AI signals tracking engine integrated into Samsung S3 Gear, prompting engineers when entering unauthorised

Use Case 1: Samsung, Thales, SMRT

In view of the accidents that happened within work environments, particularly in industries where engineers/work site operators needed to be tracked for overall safety benchmarking, VIATICK and Samsung partnered to merge active tracking that can be used both outdoors and indoors.

In a pilot with Thales and SMRT to enable real time tracking of engineers within the railway tunnel, VIATICK integrated its AI signals tracking engine into the Samsung S3 Gear, where the smart watch will prompt an engineer when he wanders into an unauthorised area/ dangerous area with live currents not switched off on the tracks.

Engineers were able to use quick commands on the smart watch to respond back to a command platform that displays the statuses of the Engineers. This was the first time where indoor tracking via Bluetooth has been executed and seen live, within the railway tunnels in Singapore.

IMDA Spark Programme: VIATICK's central platform enables live control and oversight of all passenger-crew interactions on World Dream Cruise

Use Case 2: World Dream Cruise

VIATICK’s technology was used to enable the automatic attestation of assurance, where active tracking of all personnel (passengers and crew) on a cruise ship is constantly being done through multi purpose wearables.

One of the main criteria that The Centers for Disease Control and Prevention (CDC) of different countries expect from Cruise ships that are sailing in and out of the different berths, before allowing a passenger sail, is the ability to track down and isolate the people of interests that are in close contact with a suspected case.

Through VIATICK, World Dream Cruise was able to have a central platform that has live control and oversight of all interactions between passengers and crew. Data collection and processing was done through VIATICK’s AI engine that sorts, filters, and enables immediate identification of “at-risk” persons of interests without having to isolate the whole cruise.

In addition, movement tracking data of all personnel was used to actively perform capacity management and historical movement logging to provide business insights that were difficult to consolidate prior.

The scalability of what VIATICK’s core technology provided also enabled World Dream Cruise to look at the possibility of combining other IoT and business data points seamlessly; something that has been traditionally difficult to achieve in the IoT world that is often mired with high infrastructure cost and difficult integration paths.


IMDA Spark Programme: Digital twin of China Comms Construction - Smart City, created by Virspatial

Use Case 1: China Comms Construction (CCC) – Smart City 

CCC is responsible for city planning. To facilitate its decision-making process, CCC had to collect data from various state departments such as Traffic Control, Security, Urban Planning, Utilities, Public Assets, Social Sector, Healthcare, Tourism and Civil Defence. This was a manual and labour-intensive cross-functional collaboration process, resulting in the loss of initial value of the perishable data collected to make beneficial decisions.

Virspatial created a 1:1 digital twin of the city that integrated all the different data sources into a single 3D-platform. This allows the presentation of real-time data from a command centre. We equipped CCC with simulation capabilities to test their proposals in the digital world. CCC could also keep track of their city development in real-time. Digital twin helped to increase their efficiency in city planning with optimal usage of manpower and cost.


IMDA Spark Programme: Digital twin of Nokia's production lines, created by Virspatial, enabling simulations for future production

Use Case 2: Nokia – 5G Production line 

Nokia had made a strategic decision to build a 5G production line to showcase their manufacturing capabilities and technology. The plant occupies a floor area of 2.5km2 and uses a vast number of 5G IOT devices that work independently. To showcase their new plant to potential clients in an efficient manner, Nokia approached Virspatial to create a digital twin of their production lines.


The digital twin dynamic platform also enabled Nokia with new capabilities to run simulations for future production, execute predictive maintenance and optimise facilities management in the areas of energy and manpower usage. This helped Nokia improve its sales, reduce their operating costs, and allow potential clients to gain a better understanding of their portfolio.

Note that the listed use cases are updated regularly.


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