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ROCKVILLE, Md., May 8, 2026 /PRNewswire/ -- USA -- AAVnerGene Inc. today announced the launch of AAVone®2.1, the next-generation evolution of its proprietary AAVone® single-plasmid AAV production system, designed to improve AAV vector productivity, full-capsid yield, manufacturing efficiency, and cost effectiveness.
AAVone®2.1 has achieved ~1x1016 genome copies (GC)/L of cell culture and greater than 70% full capsids at harvest, representing a significant advance over AAVone®1.0 and conventional multi-plasmid AAV production systems, which often generate high proportions of empty capsids. The platform has demonstrated performance across multiple AAV serotypes and compatibility with HEK293-based cell lines and existing manufacturing workflows.
These improvements may reduce plasmid requirements, culture volume, purification burden, processing steps, processing time, and manufacturing cost, while improving overall vector quality. By addressing key constraints in AAV production, AAVone®2.1 is designed to support the clinical and commercial scalability of AAV-based gene therapy programs.
"AAV manufacturing remains one of the most important technical and economic challenges in gene therapy," said Qizhao Wang, Ph.D., Chief Technology Officer of AAVnerGene. "Conventional multi-plasmid systems have enabled the field for decades, but limitations in productivity, empty capsid burden, and purification complexity continue to create barriers to development and commercialization. AAVone®2.1 was developed to address these challenges through a simplified single-plasmid system that improves vector productivity and full-capsid ratio. "
"AAV gene therapy continues to face commercialization challenges, with manufacturing cost, vector quality, and process scalability among the most critical constraints," said Daozhan Yu, PhD, Chief Executive Officer of AAVnerGene. "AAVone®2.1 has the potential to make AAV manufacturing simpler, more scalable, and more cost-efficient, helping more AAV gene therapy programs become clinically and commercially viable."
AAVnerGene's partners have licensed the technology and are developing multiple AAV gene therapy programs using the platform. The company's goal is to provide enabling technologies that help overcome manufacturing barriers, reduce development costs, and expand the number of gene therapy programs that can reach patients.
About AAVnerGene Inc.
AAVnerGene is a Maryland-based biotech company developing solutions to address bottlenecks in AAV gene therapy, including manufacturing, toxicity, qualification, and delivery. Its platforms include AAVone®, AAV-Q (a potency and rcAAV assay platform), and ATHENA (a capsid engineering platform), designed to improve productivity, quality, scalability, efficiency, and safety in AAV gene therapy drug development.
Media & Business Inquiries:
customer@aavnergene.com
www.aavnergene.com
ROCKVILLE, Md., May 8, 2026 /PRNewswire/ -- USA -- AAVnerGene Inc. today announced the launch of AAVone®2.1, the next-generation evolution of its proprietary AAVone® single-plasmid AAV production system, designed to improve AAV vector productivity, full-capsid yield, manufacturing efficiency, and cost effectiveness.
AAVone®2.1 has achieved ~1x1016 genome copies (GC)/L of cell culture and greater than 70% full capsids at harvest, representing a significant advance over AAVone®1.0 and conventional multi-plasmid AAV production systems, which often generate high proportions of empty capsids. The platform has demonstrated performance across multiple AAV serotypes and compatibility with HEK293-based cell lines and existing manufacturing workflows.
These improvements may reduce plasmid requirements, culture volume, purification burden, processing steps, processing time, and manufacturing cost, while improving overall vector quality. By addressing key constraints in AAV production, AAVone®2.1 is designed to support the clinical and commercial scalability of AAV-based gene therapy programs.
"AAV manufacturing remains one of the most important technical and economic challenges in gene therapy," said Qizhao Wang, Ph.D., Chief Technology Officer of AAVnerGene. "Conventional multi-plasmid systems have enabled the field for decades, but limitations in productivity, empty capsid burden, and purification complexity continue to create barriers to development and commercialization. AAVone®2.1 was developed to address these challenges through a simplified single-plasmid system that improves vector productivity and full-capsid ratio. "
"AAV gene therapy continues to face commercialization challenges, with manufacturing cost, vector quality, and process scalability among the most critical constraints," said Daozhan Yu, PhD, Chief Executive Officer of AAVnerGene. "AAVone®2.1 has the potential to make AAV manufacturing simpler, more scalable, and more cost-efficient, helping more AAV gene therapy programs become clinically and commercially viable."
AAVnerGene's partners have licensed the technology and are developing multiple AAV gene therapy programs using the platform. The company's goal is to provide enabling technologies that help overcome manufacturing barriers, reduce development costs, and expand the number of gene therapy programs that can reach patients.
About AAVnerGene Inc.
AAVnerGene is a Maryland-based biotech company developing solutions to address bottlenecks in AAV gene therapy, including manufacturing, toxicity, qualification, and delivery. Its platforms include AAVone®, AAV-Q (a potency and rcAAV assay platform), and ATHENA (a capsid engineering platform), designed to improve productivity, quality, scalability, efficiency, and safety in AAV gene therapy drug development.
Media & Business Inquiries:
customer@aavnergene.com
www.aavnergene.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
AAVnerGene Announces AAVone®2.1, a Next-Generation Single-Plasmid AAV Production Platform Achieving ~1e16 GC/L and >70% Full Capsids at Harvest
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GRENOBLE, France and PLEASANTON, Calif., May 8, 2026 /PRNewswire/ -- Following a 2026 CES Innovation Award, MountAIn enables frictionless deployment of high-precision AI models fully optimised for Alif's ultra-low-power hardware to eliminate the need for power-hungry chipsets.
Python developers can now slash development time from 12 months to minutes while achieving a 3x reduction in memory usage to run computer vision models.
To view the Multimedia News Release, please click:
https://www.multivu.com/mountain-and-alif-semiconductors/9397851-en-ai-cloud-computing-balletto-processors
MountAIn SAS, an award-winning AI orchestration company and 2026 CES Innovation Award honoree, today announced a strategic partnership with Alif Semiconductor to revolutionize Computer Vision at the extreme edge.
The combined hardware-software solution is engineered to serve high-demand mass markets, enabling the next generation of smart cameras, smart glasses, smart factories, health tech, and smart home appliances.
Historically, device manufacturers and developers faced a frustrating trade-off: use expensive, power-hungry MPUs to run complex vision AI, or settle for limited AI performance on cost-effective MCUs. MountAIn's proprietary "AI Booster" middleware is acting as an intelligent bridge, orchestrating Alif's internal processors to maximize speed (FPS) while compressing memory usage by 3x.
A Game-Changer for the Edge AI Ecosystem
For Device Manufacturers (OEMs/ODMs): MPU Power at MCU Economics
- Ultra-Low Power: Manufacturers can now integrate vision models into battery-powered devices operating under a strict 100 mW power envelope.
- Uncompromised Precision: Deliver cloud-equivalent model resolution and accuracy directly on the edge, without the traditional cost or thermal penalties.
For AI Developers: From Python to Silicon in Just One Click
- Developer Democratization: Python-centric AI specialists can seamlessly deploy models directly to Alif MCUs
- Months to Minutes: MountAIn's single-click compiler completely eliminates the firmware bottleneck
"The Edge AI industry has been forced to choose between expensive, power-hungry MPUs and cost-efficient MCUs" said Vincent Huard, CEO of MountAIn. "We believe that 'Embedded AI' shouldn't require a PhD in firmware optimization. We are on a mission to Deliver cloud-grade vision at MCU economics and to unlock entirely new use cases."
"To truly democratize Edge AI and scale it across billions of smart devices, developers need hardware that delivers extreme efficiency without sacrificing capability," said Reza Kazerounian, President and Co-Founder of Alif Semiconductor. "By pairing MountAIn's 1-click software infrastructure with the native power of our Ensemble and Balletto processor families, we are giving the market exactly that."
MountAIn and Alif Semiconductor will be present at the Embedded Vision Summit in Santa Clara, May 11-13, 2026.
Contacts:
David Nahmani
david@mountainedge.ai
Alexandra Kazerounian
alexandra.kazerounian@alifsemi.co
GRENOBLE, France and PLEASANTON, Calif., May 8, 2026 /PRNewswire/ -- Following a 2026 CES Innovation Award, MountAIn enables frictionless deployment of high-precision AI models fully optimised for Alif's ultra-low-power hardware to eliminate the need for power-hungry chipsets.
Python developers can now slash development time from 12 months to minutes while achieving a 3x reduction in memory usage to run computer vision models.
To view the Multimedia News Release, please click:
https://www.multivu.com/mountain-and-alif-semiconductors/9397851-en-ai-cloud-computing-balletto-processors
MountAIn SAS, an award-winning AI orchestration company and 2026 CES Innovation Award honoree, today announced a strategic partnership with Alif Semiconductor to revolutionize Computer Vision at the extreme edge.
The combined hardware-software solution is engineered to serve high-demand mass markets, enabling the next generation of smart cameras, smart glasses, smart factories, health tech, and smart home appliances.
Historically, device manufacturers and developers faced a frustrating trade-off: use expensive, power-hungry MPUs to run complex vision AI, or settle for limited AI performance on cost-effective MCUs. MountAIn's proprietary "AI Booster" middleware is acting as an intelligent bridge, orchestrating Alif's internal processors to maximize speed (FPS) while compressing memory usage by 3x.
A Game-Changer for the Edge AI Ecosystem
For Device Manufacturers (OEMs/ODMs): MPU Power at MCU Economics
- Ultra-Low Power: Manufacturers can now integrate vision models into battery-powered devices operating under a strict 100 mW power envelope.
- Uncompromised Precision: Deliver cloud-equivalent model resolution and accuracy directly on the edge, without the traditional cost or thermal penalties.
For AI Developers: From Python to Silicon in Just One Click
- Developer Democratization: Python-centric AI specialists can seamlessly deploy models directly to Alif MCUs
- Months to Minutes: MountAIn's single-click compiler completely eliminates the firmware bottleneck
"The Edge AI industry has been forced to choose between expensive, power-hungry MPUs and cost-efficient MCUs" said Vincent Huard, CEO of MountAIn. "We believe that 'Embedded AI' shouldn't require a PhD in firmware optimization. We are on a mission to Deliver cloud-grade vision at MCU economics and to unlock entirely new use cases."
"To truly democratize Edge AI and scale it across billions of smart devices, developers need hardware that delivers extreme efficiency without sacrificing capability," said Reza Kazerounian, President and Co-Founder of Alif Semiconductor. "By pairing MountAIn's 1-click software infrastructure with the native power of our Ensemble and Balletto processor families, we are giving the market exactly that."
MountAIn and Alif Semiconductor will be present at the Embedded Vision Summit in Santa Clara, May 11-13, 2026.
Contacts:
David Nahmani
david@mountainedge.ai
Alexandra Kazerounian
alexandra.kazerounian@alifsemi.co
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
MountAIn disrupts Edge AI landscape to Deliver Cloud-Grade Computer Vision Stack on Alif Semiconductor's Ensemble and Balletto Processors
