Standby UniTool is a revolutionary system for configuring warning equipment and control systems for emergency and special vehicles, all without the need for coding.

As a digital product, the solution provides an intuitive user interface that enables technicians to effortlessly configure sirens, lights, and signals according to their specific needs. Built for some of the most critical jobs in the world, Standby Unitool offers the flexibility to easily customize and configure the equipment to meet the unique needs of any given country, allowing agencies to confidently respond to any situation they may encounter

QueensLab acted as a full-scale development partner for Standby, providing support for product design, UX, and development.

We helped develop an innovative digital system that helped Standby achieve their goals. QueensLab helped Standby bring their unique vision to market quickly and efficiently, using best-in-class approaches to design, development, and testing. By partnering with QueensLab, Standby was able to access cutting-edge solutions and reliable support that helped them achieve their goals and make their product a success.

Raybased 2Way allows you to heat up your properties before cold spells arrive, leading to significant savings on energy costs by reducing peak demand.

Secondly, the system helps you locate heat and energy leeches, identifying areas where poor insulation and overheating may be occurring. You can see real-time data on heat, energy consumption, and indoor climate in your building. This information can be used to drive decision making and improve your building's overall energy usage.

Raybased 2Way generates comprehensive reports to support your planning and create effective pathways to achieve your climate goals.

QueensLab helped Raybased to design a user-friendly interface that enables their customers to identify areas of inefficiency in their properties, including heat and energy leeches, and identify where improvements could be made.

Additionally, our deep expertise in time-series databases allowed us to create a streamlined and effective platform for receiving and storing data, which allowed Raybased to easily track energy usage and heating efficiency in real-time.

Introducing Emilia, Fortums virtual coworker that helps their customers with answering questions about their service with the purpose of conversion.

By introducing Emilia, time is saved for the staff and every question a client might have is answered immediately.

Using the powerful GPT-models, QueensLab created a proof of concept that used internal company information to train and instruct the chatbot to answer any question a customer has about the service.

Scaling the generation of copy for real estate adverts while keeping the tonality and brand that has been established over years - that was the challenge Erik Olsson and QueensLab together embarked on. With enormous cost-saving potential the project launched Spring 2023 and is currently in a proof of concept phase.

Current progress is showing a great potential in regards to the business case and has evolved in new avenues of potential innovation.

Introducing ”Framework interpreter”, Our clients virtual assistant that helps users find descriptions and interpret the framework! ”Framework interpreter” helps the user to find technical & legal descriptions and interpret the sometimes complicated formulations.

Using the powerful GPT-models, QueensLab created a proof of concept that implemented a solution that utilized a subset of the legal framework and instructed the chatbot to answer any question a user has about the service and to interpret the advanced formulations. Want to know how to interpret the complicated text in the regulations? Ask “Framework interpreter, get the answers and a reference to where in the framework you can find the original description !

QueensLab, as a holistic partner, provided our client with a chatbot based on one of the latest GPT-models to help the users to be more efficient, significantly reducing the time spent on searching for specific information in the extensive client framework. Users can simply ask ”Framework interpreter”, saving themselves from sifting through countless pages of complex technical & legal descriptions.