- April 22-26
News
Stay up to date!
In our newsroom you will find the latest news about our company and our software solution TiA®. Here we inform you about the latest developments at TVARIT and at which events you can meet us. Are you a journalist? Then you will find our latest press releases and media for download. Do you have further questions? Do you need further information or do you have an interview request? Please contact us!
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Events & Trade Fairs
Meet us for a personal talk at a trade fair or other industry event. Here you will find all current dates. We look forward to exchanging ideas with you!
Stay up to date!
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Hannover Messe 2024
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GDC Tech Forum 2023
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Impact investing firm, 4impact capital, joins TVARIT to accelerate sustainable & zero-waste manufacturing in metal Industries
TVARIT, a Frankfurt-based AI & Deep Tech start-up which helps metal companies reduce manufacturing scrap and energy losses, has secured €6.5 million in a Series A round
Revolutionizing the Metal Casting Industry using Smart Dies
The metal casting industry has long been a cornerstone of the manufacturing world. Responsible for creating intricate and durable parts for a multitude of applications, the casting
Sensor Installation Principles for AI based Die Casting Process Optimization
The modern metal casting landscape is undergoing a transformative shift with the advent of Artificial Intelligence and IoT systems. The convergence of Information Technology (IT) and Operational
AI is overrated
Artificial Intelligence (AI) is overrated. Yes, we could teach a Google AI engine to avoid defects due to blowholes, low mold temperature, or low pouring pressure, but
Innovative technology to reduce foundry costs
New potentials for improving efficiency in foundries The efficiency boost achieved using Tvarit’s new TiA platform rests on four fundamental principles. The focus here is on reducing
AI – A need of the hour for Energy Conservation
Why is energy conservation the need of the hour? Can AI be the answer to it? Depletion of energy resources has been a cause for concern for
How can AI become a catalyst in EV production?
EVs are electrical vehicles that run on a motor that requires electricity instead fossil fuel. According to a report by McKinsey EVs will have a market share
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Sports Tournament
Teamwork for business goals or for office sports, we are always prepared for scoring.
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Team Lunch
What better way to cultivate team bonding than eating all together?
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Townhall Meet
Quarterly meet sounds evil, not in TVARIT!
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Impact investing firm, 4impact capital, joins TVARIT to accelerate sustainable & zero-waste manufacturing in metal Industries
TVARIT, a Frankfurt-based AI & Deep Tech start-up which helps metal companies reduce manufacturing scrap and energy losses, has secured €6.5 million in a Series A round
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Tvarit raises €5m to drive net-zero metal manufacturing
Tvarit raises €5m to drive net-zero metal manufacturing Tvarit has closed its funding round, led by Momenta and Futury Capital, to enable AI-powered, waste-free, and energy-efficient metal
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Tvarit AI solution optimises Procast Guss processes
TiA AI software optimises energy consumption and quality Scarcity of skilled employees and high energy costs challenge foundries “AI can help us a great deal.” Gütersloh, 7
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Tvarit Low-Pressure Die-Casting – Prescriptive Quality
Automatic quality assessment, root-cause analysis and prescriptive dynamic recipes for optimal process parameters
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TVARIT Aluminum Coils and Prescriptive Quality
Automatic quality assessment, root-cause analysis and prescriptive dynamic recipes for optimal process parameters EXECUTIVE SUMMARY BACKGROUND Automated production of rolled aluminum coils for the automotive and packaging
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TVARIT Production Planning with TiA
Automated real time assessment of all production and machine processes and prescriptive dynamic recipes to reduce changeover times and optimize inventories EXECUTIVE SUMMARY BACKGROUND Production of individual
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Tvarit Low-Pressure Die-Casting- Prescriptive Energy
Automatic real time prescriptive analysis to eliminate energy losses on part level for minimal energy consumptions & CO2 emissions EXECUTIVE SUMMARY BACKGROUND Energy consumption optimization in High-volume