top of page

SmartWater and TrackWater are now being delivered by Railsense Solutions Ltd in an exciting step forward for both our organisations.

In an exciting step forwards, SmartWater and TrackWater will now be provided by Railsense Solutions. 

We are delighted to have found an organisation to take the products forward which aligns with our values and ethos and are keen to see where they will take the products in the future.

For any enquiries, please contact or visit for more information

InTouch runs an active R&D programme, working with Universities and major PLCs to work to solve some of industries biggest challenges.

R&D has led us to develop SmartWater, an innovative approach to gully management and flood prevention.  You can read more about SmartWater below or take a read through our other R&D projects to learn about our R&D journey to date.

Why SmartWater?

Cost savings via a risk based approach to maintenance

Improved Health and Safety for operatives and the public

Reduction in flood related emergency callouts

Email alerts for 'at risk' assets

Increased efficiencies through needs based operations

InTouch Smartwater Logo_edited.jpg

InTouch SmartWater is an innovative approach to asset monitoring and maintenance and functions as a decision support tool for asset maintainers. InTouch SmartWater provides data to inform on asset cleansing regimes and moving towards target cleansing with a risk based approach.



Our patent pending sensors will provide you with up to date and accurate information on the current state of your assets whilst our reliable LoRa communications network will ensure your data is available when you need it.

Our easy to interpret visualisations provide you with the information required to make decisions about which assets to clean and when.

Our solution is configurable to your needs and offers integration points to work with your existing asset management systems.

With SmartWater, you receive the data you need, when you need it with our email alerting to potential floods.

R&D at InTouch

InTouch Trackwater Logo.png

TrackWater is a project in collaboration with Network Rail, Lancaster University and the Connected Places Catapult which carried out sucessful trials of SmartWater on the Rail Infrastructure.

5 routes trialled the SmartWater equipment and post project integration activities are underway.

InTouch Smartclean Logo.png

.Funding for a 12 month feasibility study was granted to InTouch Ltd in 2014 by Innovate UK

The project aimed to assess the feasibility of using environmental and IoT highways data to minimise the environmental impact caused by pollutants from the highways entering into the UK’s waterways. Moreover, we set out to research whether reducing contaminants in highways run off could help the UK in meeting EU legislation which was due to impact by 2020.  Not meeting these targets could lead to potential fines of £1m per day where waterbodies do not meet certain standards.  The project manually sampled and analysed 300 gully contents in Redcar and Cleveland and assessed these for priority hazardous substances.  The project was able to identify trends based on this small number which indicated a much larger impact on the waterway.


In 2015, through the North West Aerospace Alliance and the GAMMA programme, InTouch received funding for a 12 month project to create a self-learning autonomous gully management solution for reduced flooding and increased efficiencies.  Developing on from our Smart Streets project, the project aimed to use a variety of highways related data sources.  We developed intelligent data models for the prediction of gully state allowing gully network maintainers to plan their activities according to need. 


As part of the project we trialled our solution within Redcar and Cleveland Borough Council with our partners Carillion, who were contracted to maintain the drainage network

Smart Streets 2.png

Smart Streets was a 12 month, fully funded Internet of Things (IoT) project which ran from mid 2013 and included partners: Lancaster University, Carillion PLC, Amey, Balfour Beatty Mott MacDonald and University of Birmingham.


The Smart Streets project aimed to demonstrate the potential of the IoT to drive significant innovation in the UK's Highways sector and beyond.  By developing an open, interconnected Smart Streets Hub we aimed to create a vibrant, sustainable ecosystem of developers, data stream producers and consumers and validate this with 6 demonstrator applications.


The Faith Project was a 3 year part funded collaborative research and development project which ran from 2011 until early 2014.  Partners included: Lancaster University and Carillion PLC.


The project aimed to understand and develop new trust models for remote workers on the highways by:

  • Developing a deep understanding of how trust relationships can be established and maintained in situations involving remote workers and multiple stakeholders

  • Explore the impact of new technology that allows detailed data capture in the field and how this technology can be used to build systems that influence the establishment and maintenance of trust

  • Designing and implementing prototype systems that include new models of trust between stakeholders and that are designed to enhance trust in the highways maintenance domain and relationships between stakeholders

  • Evaluating prototype systems and their impact on the stakeholders involved

  • Reducing the overheads currently associated with maintaining the UK infrastructure


Our Travel was a 3 year collaborative research and development project, part funded by The Technology Strategy Board from 2009 until 2012.  Partners included: Lancaster University and Carillion PLC.


The Our Travel project aimed to design and develop the next-generation of travel information systems that would be:

  •  community-aware

  •  context-sensitive

  •  real-time

  •  multimodal

  •  delivered to the user at the point of travel

The project leveraged social networking and combined this with alternative information sources from highways, enabling users to make more informed decisions about how and when to travel.

bottom of page