"It is with great pleasure to announce that Grayn joins the Cluster for Applied AI.
Their user-centric approach for supply chain analysis and transparent sustainability reporting with the help of AI fits perfectly into our community of companies, and we are looking forward to working together."

Tore Lie, Cluster Manager Cluster for Applied AI, Smart Innovation Norway

Let's introduce cluster partner Grayn with some quick facts

What does Grayn do?

Grayn is a SaaS company that offers a comprehensive platform aimed at optimizing business operations and impact through the utilization of digital twins, deep data analysis, and AI-powered decision-making. Built on a module-based architecture, our platform employs an easy and transparent method for data collection, providing a delightful and user-centric experience. Our powerful analytics tools offer a one-stop-shop for supply chain analysis, LCA, and sustainability reporting, making data collection and analysis seamless for businesses.

What goals do you have going forward?

At Grayn, our mission is to develop the most powerful sustainability management software that equips businesses with the necessary tools and knowledge to achieve sustainability goals. Through the utilization of digital twins and machine learning, we can predict a company's future emissions, allowing for effective risk mitigation and the implementation of emission-saving measures to reach climate goals. In line with this, we are currently engaged in two research projects alongside Nordic and German pilot companies to test the beta version of our product. Our esteemed research partners, Sintef and NORSUS, are valuable additions to the development of new modules for CO2 accounting, as well as social sustainability, seamlessly integrating research and innovation into our platform.

We are currently looking for customers to try our beta version, in order to help customers get started with sustainability data collection and for Grayn to develop an even better product-market-fit. Additionally we are involved in several research projects, and are looking for research partners and pilots to expand our reach.

Do you have a success story or an exciting project that you would like to highlight?

At Grayn, we are always committed to driving innovation in the sustainability space. Currently, we are collaborating with Oslo Municipality on a three-month project to develop a module based on circular economy principles. Working alongside key stakeholders, our aim is to increase data transparency about purchasing processes, empowering all employees to make more sustainable and circular choices. This includes ensuring supply chain transparency, longevity of purchased assets, and establishing procedures for end-of-life product management. By aiding the municipality's goals of consuming less, consuming smarter, and communicating new strategies and efforts to all employees.

"Kantega is a company where they have a strong focus on value creation together, where all employees have a great ownership of the company and the solutions. In addition, Kantega is perceived as a company that is interested in lifting both its own and others' expertise through cluster work. We are very pleased to welcome Kantega to the Cluster for Applied AI!"

Eli Haugerud, Head of Communities, Smart Innovation Norway

Let's introduce cluster partner Kantega with some quick facts from Head of Technology, Frode Standal:

What do you do in Kantega and what is your role?

Kantega is a 100% employee-owned IT consulting company consisting of technologists, designers and problem solvers. What we all have in common is that we are professionally strong, curious and passionate.

We are a consulting company that aims to be a strategic partner for our customers. Kantega helps customers develop solutions that create value for their business and their users.

We thrive best on business-critical assignments where we get to work closely with the customer and can drive system and business development together with them. Our strength is teams that work closely together and play each other well.

As Chief Technology Officer, one of my responsibilities is to develop the field of data-driven development and AI, through recruitment of specialists, skills development, sales and marketing.  

In our experience, the best solutions come from an interaction between those who have a need and those who will provide a solution.

Frode Standal, Kantega

What are your objectives for the future?

One of our goals going forward is to help our customers become more data-driven so they can capitalize on the value of the data their business owns or has access to.

We help our customers solve organizational, competence and technological challenges. This means increasing collaboration, breaking down silos, automating the collection, processing, aggregation and availability of high-quality data from different sources for different applications, from analytics to decision support to machine learning models integrated into a process flow. 

Do you have a success story or an exciting project you would like to highlight?

I would like to highlight the breadth of what we do. As a consulting company, we work on very different types of problems in different industries, from machine vision solutions for counting people in a vehicle to using machine learning to predict the risk of a loan going to collection.

Some applications contribute to streamlining internal processes in a business, others are about using data analytics and machine learning to personalize user experiences in digital spaces.

Finally, I would like to mention that we are committed to what we call responsible AI. This encompasses everything from privacy, the development of unbiased and explainable models, to sustainability, taking into account that training machine learning models can have a significant energy consumption, and with it a carbon footprint.

"Precise Prediction is an example of a company that can make a big difference in the journey towards becoming more data-driven as a business. With their expertise, they can help players make the right choices to get the most out of their data and minimize silo and duplication issues. We are very pleased to welcome Precise Prediction to the Cluster for Applied AI!"

Marianne Bjerkman, Cluster Leader in the Cluster for Applied AI

Let's introduce cluster partner Precise Prediction with some quick facts from Per Baumann, Sales Director:

What do you do at Precise Prediction and what is your role?

We help our customers create added value from their data and make decisions data-driven. This can be from the very basics - or to assist customers who have already come a long way in e.g. streamlining, quality assurance or adopting solutions related to machine learning and AI.

To achieve this, you need solutions to access, organize, prepare, process, visualize and analyze available data in an efficient and secure way. We specialize in TIBCO software and help our clients implement and integrate it with their other systems. We also ensure that the customer's staff receive the necessary training and provide support when needed.

Since our establishment in 2006, we have focused on artificial intelligence and machine learning and we would like to include this in our deliveries. However, our experience is that you can achieve great benefits by making important decisions data-driven even without artificial intelligence. Once this is in place, you can gradually make the solution more advanced and, if desired, use artificial intelligence and machine learning.

My role in this is to define marketplaces and then find customers who have needs, and then create an initial interest and belief that we can solve their needs.

What are your objectives for the future?

Most of our customers are large companies on a Norwegian scale, but we are convinced that medium-sized companies will also benefit greatly from our solutions. Our goal is to get more medium-sized companies as customers. In particular, we believe that companies that have invested in equipment with sensors and have thus gained access to completely new data sources can benefit greatly from using this data in a better way.

Do you have a success story or an exciting project you would like to highlight?

We have several, but personally I would highlight a technology called data virtualization. This technology enables "data-on-demand" rather than copying data multiple times while retrieving and processing only the data we need for the job by actively using metadata. This technology reduces environmental impact through, among other things, reduced power consumption, but also simplifies integration and distribution across data sources and consumers.