TVARIT provides industry-specific AI solutions for metal manufacturing, utilizing a Hybrid AI approach that combines physics equations with machine learning to enhance production efficiency. Their technology reduces scrap by up to 60%, cuts energy consumption by up to 30%, and improves machine availability by up to 20%, addressing the challenges of high production costs and waste in the manufacturing process.
Funding
$6.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4Founders
Product
Problem
Metal manufacturing faces challenges such as high scrap rates, rising energy costs, unplanned machine breakdowns, and knowledge drain, leading to increased production costs and environmental impact. These inefficiencies hinder overall equipment effectiveness (OEE) and profitability.
Solution
TVARIT provides industry-specific AI solutions for metal manufacturing, enabling energy- and resource-efficient production with minimal waste. Their TVARIT Industrial AI (TiA®) platform uses a hybrid AI approach, combining physics equations with machine learning, to optimize manufacturing processes. The platform's AI-based prescriptive quality module reduces scrap, while the prescriptive energy module cuts energy consumption. Additionally, TVARIT AI increases machine availability and helps retain company know-how in a sustainable software format.
Target Audience
The primary customers are metal manufacturing companies, including foundries and metalworking industries, seeking to optimize production, reduce waste, and improve energy efficiency.
Features
- AI-based Prescriptive Quality Module to reduce scrap by up to 60%
- Prescriptive Energy Module to reduce energy consumption by up to 30%
- Predictive maintenance capabilities to increase machine availability by up to 20%
- Hybrid AI approach fusing physics equations with AI models for accurate predictions
- Transfer Learning (TL) enabling scalability across multiple machines in a short time
- ROI-focused approach to enhance profitability (EBITDA)
- AI models provide explainable insights and recommended action items for plant operations teams