Nota AI Signs AI Model Optimization Technology Supply Contract with FuriosaAI, Expanding Commercialization to Data Centers

• Maximizing large-scale AI model optimization performance on FuriosaAI's NPU 'RNGD' by supplying the AI compression and optimization platform 'NetsPresso®'
• Expanding technology supply from mobile and automotive to AI server infrastructure
• Preparing to scale global business with a packaged solution combining Nota Vision Agent (NVA) and FuriosaAI's NPU

SEOUL, South Korea, Feb. 3, 2026 /PRNewswire/ -- Nota AI (CEO Myungsu Chae), a company specializing in AI model compression and optimization, announced that it has signed a technology supply contract to provide its AI model optimization platform, 'NetsPresso®,' for FuriosaAI's flagship chip, 'RNGD (pronounced "Renegade").

This contract signifies that NetsPresso® has established itself as an essential technology not only for low-spec devices but also in the high-performance computing infrastructure sector. NetsPresso® is a platform that reduces AI model sizes by up to 90% while maintaining accuracy, enabling efficient optimization and deployment of AI models tailored to specific hardware specifications.

Through this agreement, Nota AI's advanced optimization technology will be utilized to enhance the inference performance of RNGD, ensuring rapid and stable operation of large-scale AI models. Notably, this collaboration allows Nota AI to broaden its supply range beyond mobile, PC, and automotive APs into the AI server and data center semiconductor sectors, effectively expanding its influence across the entire AI optimization market.

In addition to the supply contract, the two companies have agreed to establish a strategic partnership based on 'Nota Vision Agent (NVA),' Nota AI's vision AI solution. By introducing a packaged solution that combines Nota AI's NVA with FuriosaAI's RNGD, the companies have laid the groundwork for a substantial and concrete business cooperation system designed to accelerate revenue growth. Following a technical cooperation MOU in November and the current definitive supply contract, this latest partnership for a joint business model solidifies a close collaboration spanning from R&D to commrcialization.

FuriosaAI expects to increase the utility and competitiveness of its NPU products across a wide range of industrial sites by leveraging Nota AI's optimization solutions. Similarly, Nota AI plans to secure new business opportunities in various industrial sectors, including physical AI, by supplying high-performance, lightweight AI models in a package integrated with FuriosaAI's NPU.

"This contract is a result of NetsPresso®'s optimization technology expanding beyond on-device environments like mobile and mobility into high-performance data centers, proving its commercial value once again," said Myungsu Chae, CEO of Nota AI. "As a strategic partner of FuriosaAI, we will continue to demonstrate the prowess of Korea's AI technology in the global market."

June Paik, CEO of FuriosaAI, stated, "The combination of FuriosaAI's innovative NPU technology and Nota AI's sophisticated optimization capabilities represents a meaningful step in demonstrating the global competitiveness of Korea's AI innovation. Through close technical collaboration with Nota AI, we will showcase solutions that provide overwhelming performance and efficiency in real-world industrial settings."

SEOUL, South Korea, Feb. 3, 2026 /PRNewswire/ -- Nota AI (CEO Myungsu Chae), a company specializing in AI model compression and optimization, announced that it has signed a technology supply contract to provide its AI model optimization platform, 'NetsPresso®,' for FuriosaAI's flagship chip, 'RNGD (pronounced "Renegade").

This contract signifies that NetsPresso® has established itself as an essential technology not only for low-spec devices but also in the high-performance computing infrastructure sector. NetsPresso® is a platform that reduces AI model sizes by up to 90% while maintaining accuracy, enabling efficient optimization and deployment of AI models tailored to specific hardware specifications.

Through this agreement, Nota AI's advanced optimization technology will be utilized to enhance the inference performance of RNGD, ensuring rapid and stable operation of large-scale AI models. Notably, this collaboration allows Nota AI to broaden its supply range beyond mobile, PC, and automotive APs into the AI server and data center semiconductor sectors, effectively expanding its influence across the entire AI optimization market.

In addition to the supply contract, the two companies have agreed to establish a strategic partnership based on 'Nota Vision Agent (NVA),' Nota AI's vision AI solution. By introducing a packaged solution that combines Nota AI's NVA with FuriosaAI's RNGD, the companies have laid the groundwork for a substantial and concrete business cooperation system designed to accelerate revenue growth. Following a technical cooperation MOU in November and the current definitive supply contract, this latest partnership for a joint business model solidifies a close collaboration spanning from R&D to commrcialization.

FuriosaAI expects to increase the utility and competitiveness of its NPU products across a wide range of industrial sites by leveraging Nota AI's optimization solutions. Similarly, Nota AI plans to secure new business opportunities in various industrial sectors, including physical AI, by supplying high-performance, lightweight AI models in a package integrated with FuriosaAI's NPU.

"This contract is a result of NetsPresso®'s optimization technology expanding beyond on-device environments like mobile and mobility into high-performance data centers, proving its commercial value once again," said Myungsu Chae, CEO of Nota AI. "As a strategic partner of FuriosaAI, we will continue to demonstrate the prowess of Korea's AI technology in the global market."

June Paik, CEO of FuriosaAI, stated, "The combination of FuriosaAI's innovative NPU technology and Nota AI's sophisticated optimization capabilities represents a meaningful step in demonstrating the global competitiveness of Korea's AI innovation. Through close technical collaboration with Nota AI, we will showcase solutions that provide overwhelming performance and efficiency in real-world industrial settings."

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Nota AI Signs AI Model Optimization Technology Supply Contract with FuriosaAI, Expanding Commercialization to Data Centers

HANGZHOU, China, April 3, 2026 /PRNewswire/ -- A team led by principal investigators Bobo Dang and Ting Zhou at Westlake University/Westlake Laboratory reported in Science a high-throughput platform for engineering fast-acting covalent protein therapeutics. Their work, titled "A high-throughput selection system for fast-acting covalent protein drugs," opens new avenues for next-generation biologics.

Covalent small-molecule drugs have shown great success in cancer therapy by forming irreversible bonds with their targets. This has inspired efforts to extend covalent strategies to protein therapeutics, especially engineered miniproteins. However, their development is limited by a kinetic mismatch: Miniproteins are rapidly cleared in vivo, whereas covalent bond formation is typically slow. In addition, high-throughput platforms for systematically optimizing covalent protein reactivity have been lacking.

To address this challenge, the researchers proposed that precise spatial positioning of chemical warheads within protein scaffolds could enable molecular preorganization, thereby accelerating covalent bond formation without increasing intrinsic reactivity (Fig. 1).

Based on this concept, the team developed a high-throughput platform that combines yeast surface display with chemoselective protein modification to screen diverse crosslinkers and millions of protein variants. By optimizing warhead placement and the local chemical environment, the platform enables rapid and irreversible target engagement.

Using this platform, the researchers developed a covalent antagonist targeting PD-L1, termed IB101. Structural analysis revealed that IB101 forms a defined binding pocket that precisely positions the warhead in a reactive conformation, greatly accelerating covalent bond formation. Functionally, IB101 effectively blocks the PD-1/PD-L1 immune checkpoint pathway and demonstrates strong antitumor activity in mouse models. Notably, despite its short in vivo half-life, IB101 achieves durable target engagement and tumor suppression, outperforming conventional antibody-based therapies under comparable conditions.

The platform was further applied to cytokine engineering, leading to the development of a covalent IL-18 variant, IB201. This engineered cytokine rapidly forms a covalent interaction with its receptor, enhancing signaling strength and duration. In vivo studies showed that IB201 induces potent antitumor immune responses without detectable systemic toxicity. These results highlight the potential of covalent engineering to improve the efficacy and safety of cytokine-based therapies.

Beyond immunotherapy targets, the platform was also applied to develop a covalent inhibitor targeting the receptor-binding domain (RBD) of SARS-CoV-2. This molecule achieves durable viral neutralization, demonstrating the versatility of the approach across different therapeutic modalities.

This study establishes a general strategy for engineering fast-acting covalent protein therapeutics. By enabling covalent bond formation on timescales compatible with rapid in vivo clearance, the platform overcomes a fundamental limitation in the field.

These findings provide a new framework for designing biologics with both rapid kinetics and sustained target engagement, with broad implications for cancer immunotherapy, antiviral therapy, and beyond.

Media Contact: 

Chi Zhang
media@westlake.edu.cn 
+86-15659837873

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Fast-Acting Covalent Protein Drugs From a New High-Throughput Platform