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Founded in 2010, nquiringminds is a British company specialising in Smart Cities, Secure IOT, and AI Analytics

Sectors

Net Zero

Financial Services

Government & MoD

Cyber Security

Smart Cities & IOT

Research & Development

Telecoms

Agri-Tech

Health & Social Care

Industry 4.0

Transport & Logistics

Advanced Manufacturing

Financial Services

Data analytics enable businesses to identify new opportunities, to harness costs savings and to enable faster more effective decision making.

Association of Chartered Certified Accountants

Awards:

Industrial StrategyNquiringMinds is one of only two SMEs to feature as a case study in the UK Governments £4.6 billion Industrial Strategy Challenge Fund Whitepaper, for our innovative work with rates collection for Belfast City Council.

UK – SBRI – Selected by UK Gov to develop data sharing platforms for local government and the Northern Ireland Audit Office.

There is huge potential to improve the efficiency of many financial and audit processes; data-enabled techniques can lead to more in-depth analysis and investigation and provide stronger assurances in finance.

As a company with a track record of delivering innovative AI solutions, NquiringMinds is well placed to fulfil this demand, and our secure data sharing platform is ideal for bringing together data from multiple agencies whilst preserving privacy and handling complex permission levels. We apply state of the art analysis to a wide range of financial information to provide insights that help better manage resources, spot anomalies and plan for the future.

Business Rates

The Business Rates Analytics helps strategically manage, plan and optimise the collection of business rates. It provides tools for workflow management and inspection prioritisation and applies sophisticated analytics to intelligently predict properties that are likely to be misclassified

Audit

Financial Audit Analytics is an intelligent, financial analytics platform that implements data-driven audit processes to achieve true efficiencies in the audit workflow.

Economic Analyser

The Economic Analyser application helps local authorities to improve decision making to re-generate and expand the local economy. It uses data analysis and forecasting to provide tools to improve understanding, examine scenarios and plan for the future.

Working with:

Belfast City Council
Health & Social Care
Health and social care providers are under huge pressure to deliver more and more with limited funding. An increasingly ageing population, the coronavirus pandemic and complex data sharing arrangements are just some of the drivers of a need to create advanced tools to improve efficiency, capacity and response times.

Our secure data sharing platform is ideal for bringing together data from multiple agencies whilst preserving privacy and handling complex permission levels. We apply state of the art analysis to information already held by local authorities and health bodies to provide insights that help better manage resources and plan for the future.

The Ageing Society Grand Challenge aims to put the UK at the forefront of the world in technologies, products and services to help support healthy ageing. One company helping to achieve this is NquiringMinds.
Department for Business, Energy and Industrial Strategy

January 24, 2019

Awards:

Industrial StrategyNquiringminds featured in an Industrial Strategy Challenge Fund case study, a success story promoted by BEIS (Department for Business, Energy & Industrial Strategy).

NESTA Healthier Lives Data Fund award for innovative ways of gathering, analysing and presenting data to people.

AgeTech Accelerator for technological and social innovations for all stakeholders involved in the Silver Econony.

Workforce

Care Workforce uses data to match GP Practice staff capacity with demand by examining the mix of skills required to deliver future appointment needs, and enabling vacancies, retirement plans and staffing levels to be viewed and managed at CCG and PCN level.

CareTeam

CareTeam is a secure citizen centric care management platform that enables organisations to share data on the delivery of adult social care. By integrating data from care agencies (including live home care records), social workers, informal carers and home sensors it facilitates faster and more flexible response to issues.

Care Analytics

Care Analytics is a set of tools that combines adult social care records and applies advanced analytics to improve the management and planning of adult social care. It provides a single integrated view of individual service user records and strategic and operational insights at the service level.

Working with:

Transport & Logistics

Using big data can increase efficiency and reduce costs to infrastructure and service operators, and provide better levels of services to users.

Parliamentary Office of Science and Technology

Transport and logistics problems lend themselves well to IoT and AI analytics solutions and there is huge potential to make efficiencies and improve services. We have a range of transport related products developed by our in house transportation experts. From fleet management solutions that integrate workflow and location information to optimise fleets to smart parking technology that integrates real time parking information from multiple sources to ensure parking spaces are fully utilized.

Eco-Logistics

EcoLogistics is a data platform that allows service operators to optimise how they deliver and schedule their services. Optimising local service logistics benefits the environment and lowers costs by reducing traffic and vehicle emissions and boosts business by enabling communities to be served more efficiently.

Waste

Recycling and waste processing is a complex business. Waste comes in multiple types, some recyclable, some not. It can be collected from the roadside or at recycling centres. Recycling can take place at multiple centres, and could involve multiple steps and processing locations. The recycling is often done by many different subcontractors at different rates. And lastly the volume waste is dependent on the behaviour of citizens, which can depend on the location of centres.

Waste Analytics works by processing massive data sets relating to waste processing weighbridge data. It can calculate the permutations of different closure scenarios generating 63 billion data records. It models user behaviour, based on propensity to travel. And finally it securely folds in confidential contract values. The result gives strong data backed recommendations on how to configure the service.

Smart Parking

Smart Parking combines real time parking information from multiple sources. This can be legacy sensors already deployed within the city or a range of commercial sensor types as well as data from other parking management systems. The data is combined and analysed in real time and can then be secured shared across organisations and to parking users via web and mobile applications.

Working with:

Agri-Tech

Data analytics and IoT devices are some of the tools being used to reduce spoilage and increase yields in agriculture. Processes that rely on periodic human inspection, over reliance on chemicals and timely interventions fail frequently because of resource restraints, lack of expertise and the speed at which crops can be spoilt. By combining data sets and real time on the ground measurements from IoT devices we can optimise processes and reduce spoilage.

As a result of our groundbreaking work with rice crops in India we were invited to accompany the then Prime Minister Theresa may on her India-UK TECH Summit to India  in 2016 to be held in India The Summit marked celebration of India and UK’s partnership across business, technology, science, innovation, education and design.

The proliferation of digital technology and data analytics in agriculture is contributing to the lives of farmers and agricultural service providers in developing country economies.

Food and Agriculture Organisation of the United Nations

GrainCare

GrainCare applies modern low cost sensing technologies and advanced analytics to optimise grain drying and storage and reduce post-harvest spoilage. It has been applied primarily to rice crops in India however the technology is equally applicable to other grains. It includes the following elements

  • Low-cost, low power robust sensors, that measure temperature and humidity levels during processing and storage
  • Advanced calibration using machine learning technologies that can infer true moisture levels from ambient humidity and other readings,
  • Open APIs and interfaces to allow sensing and control systems to be applied to a range of drying equipment and drying process
  • Advance learning control systems that can optimise storage conditions and reduce spoilage, labour and energy use
  • Smple user interfaces designed for use by the target market

CropDoc

CropDoc is a decision support system to manage the devastating impacts of potato blight disease. It applies cutting edge analytics techniques to data from IoT ground sensing devices and crowdsourced information collected online and on mobile phones to detect the presence of the disease. State-of-the-art machine learning, AI, and image processing techniques developed by industry and academic agriculture experts are applied to the data to provide advanced warning of blight. For farmers, CropDoc helps track the risk of blight in their own crops and those in nearby fields and get suggestions for treatment schedules. CropDoc also allows farmers to capture photos of their crops and have an AI analyse the crop for blight. For government and agri-business, CropDoc helps monitor blight statistics across their entire farm area from groups of fields, to local and national coverage. CropDoc provides early warning of blight outbr

Net-Zero
Nearly a third of the 50% carbon emissions reductions the UK needs to make by 2030 could be achieved through existing digital technology – from sensors to large scale modelling.
Professor Andy Hopper

Vice-President of the Royal Society

Awards:

Featured on BBCs Tech site and exemplar innovation growth company

Smart sensors and analytics are powerful tools in the fight to reduce carbon emissions and their impact on the environment. Our technology is applied to building sensor data to enhance building control systems and better plan and prioritize maintenance and refurbishment, as well as a range of industrial and agricultural processes to help improve efficiency and reduce waste.
We combine a wide portfolio of sensor data types with smart analysis then securely and selectively share information with a range of stakeholders: building users, landlords, energy suppliers etc to enable better use of resources and reduced emissions.

Eco-Logistics

NQM EcoLogistics is a data platform that allows service operators to optimise how they deliver and schedule their services. Optimising local service logistics benefits the environment and lowers costs by reducing traffic and vehicle emissions and boosts business by enabling communities to be served more efficiently.

Waste Analytics

Recycling and waste processing is a complex business. Waste comes in multiple types, some recyclable, some not. It can be collected from the roadside or at recycling centres. Recycling can take place at multiple centres, and could involve multiple steps and processing locations. The recycling is often done by many different subcontractors at different rates. And lastly the volume waste is dependent on the behaviour of citizens, which can depend on the location of centres.

Waste Analytics works by processing massive data sets relating to waste processing weighbridge data. It can calculate the permutations of different closure scenarios generating 63 billion data records. It models user behaviour, based on propensity to travel. And finally it securely folds in confidential contract values. The result gives strong data backed recommendations on how to configure the service.

Smart Parking

Smart Parking combines real time parking information from multiple sources. This can be legacy sensors already deployed within the city or a range of commercial sensor types as well as data from other parking management systems. The data is combined and analysed in real time and can then be secured shared across organisations and to parking users via web and mobile applications.

Distributed Asset Manager

Distributed asset management solves the specific problems associated with cross organisational asset and inspection management. It can be used in many different scenarios and has been designed to enable local authorities and other public sector bodies to manage assets from street furniture to buildings. These often have very complex ownership and maintenance agreements with a range of stakeholders from members of the public reporting issues to large corporates.

Population Statistics

A growing city must respond to changing demands. How do you plan your schools, hospitals, roads and waste centres? How many do you need, where do you put them, and when should you commission them? Population Statistics helps solve these problems using national level small area population forecasts.

Building Optimiser

Building Optimiser helps determine the best retrofit strategy for social housing. It surveys existing parameters including occupant behaviour, building performance and energy and heating use, and uses a range of modelling techniques to provide tools and information to support refrotif decision making.

Working with:

Smart Cities & IOT

Our smart city solutions are based on two core products. Our TDX platform handles data in the cloud; and our secure data hub technology handles sensors and devices. Together they provide the foundations of a smart city and address the two ends of the smart city problem. How to securely and flexibly integrate with sensors and IoT devices, and secondly how to provide management tools to combine, analyse and contextualise data.

The main goal of a smart city is to optimise city functions and promote economic growth while also improving the quality of life for citizens by using smart technologies and data analysis. The value lies in how this technology is used rather than simply how much technology is available.
TWI Ltd

Awards:

Awarded an Open Data Champion award by the Cabinet Office for its pioneering work in data informed policy making.

IOT Boost AwardNquiringMinds are one of five IoT UK Boost winners

NquiringMinds has been featured in Business Insider for their pioneering work in the use of AI in IOT

Care Team

CareTeam is a secure citizen centric care management platform that enables organisations to share data on the delivery of adult social care. By integrating data from care agencies (including live home care records), social workers, informal carers and home sensors it facilitates faster and more flexible response to issues.

Distributed Asset Manager

Distributed asset management solves the specific problems associated with cross organisational asset and inspection management. It can be used in many different scenarios and has been designed to enable local authorities and other public sector bodies to manage assets from street furniture to buildings. These often have very complex ownership and maintenance agreements with a range of stakeholders from members of the public reporting issues to large corporates.

Care Analytics

Care Analytics is a set of tools that combines adult social care records and applies advanced analytics to improve the management and planning of adult social care. It provides a single integrated view of individual service user records and strategic and operational insights at the service level.

Population Statistics

A growing city must respond to changing demands. How do you plan your schools, hospitals, roads and waste centres? How many do you need, where do you put them, and when should you commission them? Population Statistics helps solve these problems using national level small area population forecasts.

Business Rates

The Business Rates Analytics helps strategically manage, plan and optimise the collection of business rates. It provides tools for workflow management and inspection prioritisation and applies sophisticated analytics to intelligently predict properties that are likely to be misclassified.

Waste Analytics

Recycling and waste processing is a complex business. Waste comes in multiple types, some recyclable, some not. It can be collected from the roadside or at recycling centres. Recycling can take place at multiple centres, and could involve multiple steps and processing locations. The recycling is often done by many different subcontractors at different rates. And lastly the volume waste is dependent on the behaviour of citizens, which can depend on the location of centres.

Waste Analytics works by processing massive data sets relating to waste processing weighbridge data. It can calculate the permutations of different closure scenarios generating 63 billion data records. It models user behaviour, based on propensity to travel. And finally it securely folds in confidential contract values. The result gives strong data backed recommendations on how to configure the service.

Economic Analyser

The Economic Analyser application helps local authorities to improve decision making to re-generate and expand the local economy. It uses data analysis and forecasting to provide tools to improve understanding, examine scenarios and plan for the future.

Building Optimiser

Building Optimiser helps determine the best retrofit strategy for social housing. It surveys existing parameters including occupant behaviour, building performance and energy and heating use, and uses a range of modelling techniques to provide tools and information to support refortify decision making.

Eco-Logistics

EcoLogistics is a data platform that allows service operators to optimise how they deliver and schedule their services. Optimising local service logistics benefits the environment and lowers costs by reducing traffic and vehicle emissions and boosts business by enabling communities to be served more efficiently.

Smart Parking

Smart Parking combines real time parking information from multiple sources. This can be legacy sensors already deployed within the city or a range of commercial sensor types as well as data from other parking management systems. The data is combined and analysed in real time and can then be secured shared across organisations and to parking users via web and mobile applications.

Working with: