HAL24K: Predictive Intelligence for Smart Infrastructure
Jerome Mol, CEOYour take on the importance of smart infrastructure?
Today, as digitization is persuading almost every field, we need to think beyond the operational benefits of connected systems. Using actionable real-world data, we can build smart cities and homes in discrete environments. For instance, we are seeing the emergence of true smart infrastructure where vehicles interact with each other and their surroundings. Cars are increasingly equipped with cameras and sensors that generate enormous amounts of disparate data. We can effectively manage all these data streams to create actionable insights for instance to enable operators or control systems to keep traffic flowing. With predictive analytics, we can combine real-time streaming information such as car speeds, weather conditions and accidents to further optimize traffic management.
How HAL24K helps?
Currently, we are working with cities, governments, and companies active in the public-private space to translate raw data into useful intelligence. Our domain focus is currently on water, traffic and fleet management.
Our data intelligence solutions render predictive and actionable intelligence to traffic operators to make optimal use of resources, avoid disruptions, and save cost in the process. Our solutions can also reduce pollution and extend the life span of mission critical assets.
We also provide solutions to transform management of vital water resources. With data intelligence, we aid our clients to optimize water level management and distribution processes. This reduces capital and operational expenditure along with optimizing energy resources.
Tell us how you enable your client to visualize complex data streams with HAL24K Dimension?
Powered by the latest technologies, our platform HAL24K Dimension deploys data science to entire organizations through a simple dashboard. This offering is capable of connecting to any database, modeling and analysis of the data and can visualize the output in a seamless manner, or integrate with existing external systems.
Give us a case study that depicts the overall capabilities of HAL24K?
One of our clients is responsible for managing and maintaining 200km of motorway, where traffic flow congestion at peak times creates disruption, especially at toll stations. By modeling toll event transaction and traffic monitoring data we can forecast traffic intensity, allowing operators to anticipate peaks in traffic volume and regulate flow, for instance by opening or redirecting lanes. Our long and medium-term forecasts also help operators to optimize workforce allocation and schedule maintenance. Short-term forecasts are distributed to drivers through the client's website so they can avoid congestion.
What contrast your firm from others and where does the future lie?
Currently, we don’t see many AI companies dedicated entirely to building smart infrastructure. Other than that, we have tea world of top-class data scientists and software engineers who are committed to deliver optimum results for our clients continually. We partner with industry leading companies such as Royal Haskoning DHV, Vinci Energies, Axians, and Tauw with in-depth domain knowledge to help continually improving the scalability and efficiency of our offerings. Our goal is to be the leader in the space and play an exemplary role in aiding our customers in reaching their business objective.
Currently, we are working with cities, governments, and companies active in the public-private space to translate raw data into useful intelligence. Our domain focus is currently on water, traffic and fleet management.
Our data intelligence solutions render predictive and actionable intelligence to traffic operators to make optimal use of resources, avoid disruptions, and save cost in the process. Our solutions can also reduce pollution and extend the life span of mission critical assets.
We also provide solutions to transform management of vital water resources. With data intelligence, we aid our clients to optimize water level management and distribution processes. This reduces capital and operational expenditure along with optimizing energy resources.
Tell us how you enable your client to visualize complex data streams with HAL24K Dimension?
Powered by the latest technologies, our platform HAL24K Dimension deploys data science to entire organizations through a simple dashboard. This offering is capable of connecting to any database, modeling and analysis of the data and can visualize the output in a seamless manner, or integrate with existing external systems.
Give us a case study that depicts the overall capabilities of HAL24K?
One of our clients is responsible for managing and maintaining 200km of motorway, where traffic flow congestion at peak times creates disruption, especially at toll stations. By modeling toll event transaction and traffic monitoring data we can forecast traffic intensity, allowing operators to anticipate peaks in traffic volume and regulate flow, for instance by opening or redirecting lanes. Our long and medium-term forecasts also help operators to optimize workforce allocation and schedule maintenance. Short-term forecasts are distributed to drivers through the client's website so they can avoid congestion.
What contrast your firm from others and where does the future lie?
Currently, we don’t see many AI companies dedicated entirely to building smart infrastructure. Other than that, we have tea world of top-class data scientists and software engineers who are committed to deliver optimum results for our clients continually. We partner with industry leading companies such as Royal Haskoning DHV, Vinci Energies, Axians, and Tauw with in-depth domain knowledge to help continually improving the scalability and efficiency of our offerings. Our goal is to be the leader in the space and play an exemplary role in aiding our customers in reaching their business objective.
