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KIT-AR

The Next Step in Intelligent Manufacturing

Empowering the Worker

With the Required Knowledge

Improve Productivity

The Right Information at the Right Time

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OUR TECHNOLOGY

Advanced Manufacturing Solutions

KIT-AR is an industrial augmented reality solution that digitally enhances the operator on the shopfloor by providing them with the required knowledge when needed.

At KIT-AR, we believe that our solutions will soon become one of the biggest segments in the industry. We’ve only just started, but we already know that every product we build requires hard-earned skills, dedication and a daring attitude. Continue reading and learn all there is to know about the smart tech behind our successful Startup Company.

OUR SOLUTION

KIT-ASSIST

Support factory workers providing the right information at the right time

KIT-SMART

Various modules that capture and understand the workplace context suggesting the right intervention to trigger in real-time.  

In combination with KIT-ASSIST these modules
increase productivity and reduce mistakes. 

KIT-BUILD

Provides the means to generate and manage the AR-based work instructions for the KIT-ASSIST using a predefined annotation library. 

 

Since the KIT components use a pre-defined library of purpose-built annotations, a suitably curated subset of information can be used to provide new insights  into operations and processes. 

KIT-INSIGHT

Insight into how work processes are actually performed.

Support decision making on workplace and process improvements.

Discover recurring difficulties encountered by workers, identify bottlenecks and improvement opportunities.

APPLICATION AREAS

Training

Production Support

Maintenance

ADVANTAGES

Improve the workers skills

Provide the required knowledge when needed

Simplify the manufacturing process

Reduce mistakes and costs

OUR TEAM

Manuel Oliveira
CEO

MANUEL OLIVEIRA

Research scientist

Workplace learning

Game-based learning

Manuel worked as senior research scientist with major manufacturing companies (eg: Airbus, Comau, Volkswagen Autoeuropa, Hydro, Fiat) in improving workplace learning and productivity. His expertise in game-based learning has resulted in award winning game-based learning solutions with measurable impact on learner transformation.

Joao Costa
CTO

JOÃO COSTA

Solutions architect

Game-based learning

Joao is a master technologist and solutions architect, with extensive knowledge and experience in delivering innovative solutions in the market. After more than a decade as a consultant at Microsoft, he designed and led implementation of complex systems in areas ranging from sensor data systems for agriculture and seaborne sensorized systems at Uavision. He successfully founded HighSkillz and built a multidisciplinary team of excellence responsible for award winning game-based learning solutions, including the multiple award-winning Child-Witness Interview Simulator for the Centre of Policing Research and Learning and the CEDR Mediation.

FelixProfil-01446-Small

Felix mannhardt

Process mining

Workflow management

Machine learning

Felix worked as research scientist at SINTEF developing Process Mining methods that provide deep insights into work processes based on events captured on worker activities. His focus is the combination of machine learning to detect and identify relevant activities (activity recognition) and a process-centric view on the work execution (workflow management, process mining). He holds a PhD from Eindhoven University of Technology and contributed significantly to the leading open-source Process Mining software ProM and bupaR.

Simon Julier

SIMON JULIER

Augmented reality

Low-level estimation

Mapping / Tracking

Simon, a reader at University College London, helped to developed one of the most widely used algorithms for estimation (the unscented Kalman filter) and extensively worked on filtering and estimation when the full dependency structure is not known (covariance intersection). He has worked extensively in low-level estimation, mapping and tracking as well as high-level augmented reality and user interfaces.

Youngjun Cho

YOUNGJUN CHO

Machine learning

User interfaces

Youngjun worked as senior researcher and specialist at LG Electronics being responsible for several industrial projects, amongst which are novel 3D input and gesture recognition technologies used as advanced touch screen solutions in vehicles. His inventions were successfully commercialised in collaboration with automobile manufacturers including Porsche and BMW.

PILOTS

LET'S START TALKING!

We’re happy to hear from you. Contact us today to learn more about our business and how you can benefit from working with us.

Address

Stapleton House Block A, 2nd Floor
110 Clifton Street
London
United Kingdom, EC2A 4HT

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