Calejo, together with Sweco and Kungälv municipality, has just completed a successful AI project within VA. - We have successfully built a digital twin over the wastewater network to reduce the overflow, says Jonas Hed, project manager at Sweco.
Calejo will build a digital twin of SCA Forest's supply chain from felling to delivery of sawmill timber. The intention is primarily to develop a Proof of Concept for a well-functioning continuous forecasting of the average log value into the sawmill.
Calejo has participated in an industry-wide project with the aim of highlighting the digital challenges and opportunities for the Swedish water and sewerage market. Here are the results of this comprehensive survey.
Together with RISE, Processum, Eurocon and MoRe Research, Calejo Industrial Intelligence is participating in a project that will help accelerate the digitalisation of industry.
Calejo is participating in a large industry-wide feasibility study with the aim of creating a framework for the automatic generation and updating of digital twins for complex and large-scale process industry systems.
The international water and sewage industry is facing major challenges. The systems are old with enormous investment needs in maintenance, renewal and upgrades. The solution to many of these problems is the necessary investment in digitization and AI.
Calejo has been selected to be on the quality list AI Landscape of Sweden. The list, which is part of a larger survey within the EU, is intended to serve as a prestigious stamp of quality for important European startups in AI.
On Monday, AI guru Leonard, CTO at Calejo Industrial Intelligence, together with Johannes Holmberg, CEO of Calejo, gave an esteemed guest lecture at Mid Sweden University in Sundsvall on AI and machine learning.
Together with SWECO, Calejo participates in a water and sewerage project for Kungälv municipality. The purpose is to create a smarter control of the pumping stations with the help of an AI-enhanced forecast model of future wastewater flows.
Calejo and SCA compete for the CIO award “Sustainable project of the year”. It is the successful project at SCA Obbola with energy optimization using AI that has been highlighted by the jury.
As an AI expert, Calejo has participated in a large industry- and municipality-wide Vinnova-funded PiiA project in the water & sewage area called "VA-Eko, VA digitization in a smart ecosystem".
Leonard Johard, AI expert and co-founder of Calejo Industrial Intelligence, has been awarded the 2020 SKAPA Prize for Västernorrland. The prize money is a total of SEK 10,000.
In times of crisis, it is important for the industry to still dare to invest in the future and think long-term. An important lesson from the Corona pandemic is the importance of accelerating the digitalization of production.
Calejo Industrial Intelligence, which has developed a unique system for process optimization using AI, has initiated a close collaboration with IBM Sweden. Calejo is now part of the partner network IBM Business Partners.
Calejo have together with Optimation succeeded in using AI in combination with physical modeling to streamline one of Boliden Aitik's more complex process parts.
SCA together has with Calejo managed to gain a more accurate forecast of the use of water vapor. The project will lead to a more even energy consumption over time and a significantly reduced consumption of fossil fuel in SCA Obbola site outside Umeå.
Johannes Holmberg, CEO of Calejo, attended Dagens Industri’s conference Industry & Future. Here, the pace of Swedish industry’s AI maturity was taken and Calejo was highlighted as one of several successful examples of practical industrial AI application.
Calejo Industrial Intelligence participated at the PiiA Summit on October 8 in Västerås to present the company’s two Vinnova-funded PiiA projects that are being implemented in collaboration with Boliden, Optimization and SCA.
Calejo has helped Uniper to develop an AI model of hydropower production in four hydropower plants. The result was a forecast and a fast and scalable simulation, leading to higher revenues and less resource-intensive production and maintenance.
