ABMT Develops AI-Powered Fiber Grading System for Textile Production
Advanced Bio-Material Technologies (ABMT) is excited to announce a major advancement in AI-powered fiber quality grading. Following extensive research and development, ABMT has refined its approach to fiber assessment using AI-driven spectroscopy and machine learning algorithms.
This advancement improves fiber grading precision, helping textile manufacturers optimize efficiency, reduce material waste, and meet strict quality standards for high-end fabric production.
“This represents a significant step forward in modernizing natural fiber processing,” said Robert Ziner, CEO of ABMT. “We are continuing to develop solutions that enhance the performance of natural fibers in the textile industry.”
ABMT’s AI-enhanced fiber grading approach supports its commitment to delivering high-quality fibers for global yarn spinners and fabric manufacturers.
ABMT Secures Chinese Patent for AI-Driven Natural Fiber Processing
Advanced Bio-Material Technologies (ABMT) is proud to announce that it has been awarded Chinese Patent No. CN111386364B for its AI-driven fiber processing technology. This patent protects ABMT’s proprietary fiber grading and processing innovations, ensuring high-quality natural fibers for textile production in one of the world’s largest fiber markets.
“This patent strengthens ABMT’s position as a leader in AI-enhanced fiber processing, enabling textile manufacturers to achieve greater efficiency and quality,” said Robert Ziner, CEO of ABMT.
The patent enhances ABMT’s licensing and deployment opportunities in China, supporting its mission to deliver high-quality bast fibers to textile producers worldwide.
ABMT Signs Off-Take Agreements with Leading Chinese Textile Manufacturers
Advanced Bio-Material Technologies (ABMT) has secured strategic off-take agreements with two of China’s largest textile producers, ensuring long-term demand for its high-quality bast fibers. These agreements position ABMT as a key supplier to the global linen and textile markets, reinforcing its role in AI-optimized fiber processing
“This represents a significant step forward in modernizing natural fiber processing,” said Robert Ziner, CEO of ABMT. “We are continuing to develop solutions that enhance the performance of natural fibers in the textile industry.”
The contracts guarantee a stable demand pipeline for ABMT’s flax-based textile fibers, supporting the company’s expansion and investment in AI-enhanced fiber grading and processing techniques. These partnerships strengthen ABMT’s global footprint and accelerate its growth within the sustainable textile industry.
ABMT Granted U.S. Patent for AI-Enhanced Natural Fiber Processing Technology
Advanced Bio-Material Technologies (ABMT) is pleased to announce the successful granting of U.S. Patent No. 12018404 for its AI-enhanced natural fiber processing system. This patent covers a proprietary method for optimizing fiber extraction and quality control, ensuring improved consistency for spinning-grade fibers used in textiles.
“This represents a significant step forward in modernizing natural fiber processing,” said Robert Ziner, CEO of ABMT. “We are continuing to develop solutions that enhance the performance of natural fibers in the textile industry.”
A“This patent reinforces ABMT’s leadership in natural fiber processing technology,” said Robert Ziner, CEO of ABMT. “By integrating AI-driven fiber scanning, grading, and processing, we are developing solutions that improve fiber quality, reduce waste, and enable large-scale textile production.”
This patent strengthens ABMT’s intellectual property portfolio and aligns with its goal of supporting global textile manufacturers with high-performance natural fibers.”
ABMT Announces Pre-Seed Funding Round for AI-Driven Textile Fiber Production
Advanced Bio-Material Technologies (ABMT) is excited to announce a major advancement in AI-powered fiber quality grading. Following extensive research and development, ABMT has refined its approach to fiber assessment using AI-driven spectroscopy and machine learning algorithms.
This advancement improves fiber grading precision, helping textile manufacturers optimize efficiency, reduce material waste, and meet strict quality standards for high-end fabric production.
“This represents a significant step forward in modernizing natural fiber processing,” said Robert Ziner, CEO of ABMT. “We are continuing to develop solutions that enhance the performance of natural fibers in the textile industry.”
ABMT’s AI-enhanced fiber grading approach supports its commitment to delivering high-quality fibers for global yarn spinners and fabric manufacturers.