Nota AI® Achieves 100% Accuracy in AI Voucher Project with Sony IMX500®-Powered AI Solution, Demonstrating Global Competitiveness

• On-device AI optimization delivers high-performance AI on Sony's IMX500 chipset with minimal power consumption and cost
• 100% accuracy achieved in AI Voucher project, recognized as a best-case study in Edge AI Foundation webinar

SEOUL, South Korea, June 13, 2025 /PRNewswire/ -- Nota Inc. (CEO Myungsu Chae) successfully combined its lightweight AI optimization technology with Sony's AI smart image sensor IMX500 as part of an AI Voucher Global Division project supported by Korea's National IT Industry Promotion Agency (NIPA).

High-Performance AI on Sony IMX500 with Energy and Cost Efficiency


Sony's IMX500 is an advanced smart image sensor that integrates an image sensor and a logic chip, enabling data processing directly on the sensor. Nota AI applied its AI optimization technology to this sensor, successfully implementing smart traffic solutions such as pedestrian safety management and traffic volume analysis.

By delivering high-performance AI without accuracy loss on the compact IMX500 chipset, Nota AI maximized the sensor's low-power and cost-effective capabilities. This innovation demonstrates the sensor's critical value in smart city environments, where energy efficiency and cost savings are key priorities.

100% Accuracy Demonstrated in AI Voucher Project

As part of the AI Voucher Project, Nota AI successfully validated its smart traffic solution using Sony's IMX500-powered AI cameras. Nota AI's solution achieved 100% accuracy, demonstrating outstanding performance and cost efficiency.

This achievement was featured in Edge AI Foundation webinar, "EDGE AI Experts Reveal Pedestrian Tragedy Prevention Secrets," where Nota AI was recognized as a best-case study for power efficiency and cost reduction.

Nota AI Accelerates IPO Plans Amid Rapid Global Expansion

Nota AI CEO Myungsu Chae stated, "Our AI technology has the potential to drive innovations in energy efficiency and cost savings across diverse industries, including smart cities. We are committed to delivering sustainable solutions that make a tangible impact."

On May 22, Nota AI filed for a preliminary IPO listing, making it the first AI optimization company from Korea to do so via the country's technology-special track. The IPO plan is attracting significant market attention, backed by Nota AI's robust global expansion and strong product competitiveness. Earlier in April, Nota AI was also recognized as one of the "Top 100 Global Innovative AI Startups" by the global market research firm CB Insights. Looking ahead, Nota AI plans to accelerate its presence across key global markets — including the Middle East, Southeast Asia, and Europe.

SEOUL, South Korea, June 13, 2025 /PRNewswire/ -- Nota Inc. (CEO Myungsu Chae) successfully combined its lightweight AI optimization technology with Sony's AI smart image sensor IMX500 as part of an AI Voucher Global Division project supported by Korea's National IT Industry Promotion Agency (NIPA).

High-Performance AI on Sony IMX500 with Energy and Cost Efficiency

Sony's IMX500 is an advanced smart image sensor that integrates an image sensor and a logic chip, enabling data processing directly on the sensor. Nota AI applied its AI optimization technology to this sensor, successfully implementing smart traffic solutions such as pedestrian safety management and traffic volume analysis.

By delivering high-performance AI without accuracy loss on the compact IMX500 chipset, Nota AI maximized the sensor's low-power and cost-effective capabilities. This innovation demonstrates the sensor's critical value in smart city environments, where energy efficiency and cost savings are key priorities.

100% Accuracy Demonstrated in AI Voucher Project

As part of the AI Voucher Project, Nota AI successfully validated its smart traffic solution using Sony's IMX500-powered AI cameras. Nota AI's solution achieved 100% accuracy, demonstrating outstanding performance and cost efficiency.

This achievement was featured in Edge AI Foundation webinar, "EDGE AI Experts Reveal Pedestrian Tragedy Prevention Secrets," where Nota AI was recognized as a best-case study for power efficiency and cost reduction.

Nota AI Accelerates IPO Plans Amid Rapid Global Expansion

Nota AI CEO Myungsu Chae stated, "Our AI technology has the potential to drive innovations in energy efficiency and cost savings across diverse industries, including smart cities. We are committed to delivering sustainable solutions that make a tangible impact."

On May 22, Nota AI filed for a preliminary IPO listing, making it the first AI optimization company from Korea to do so via the country's technology-special track. The IPO plan is attracting significant market attention, backed by Nota AI's robust global expansion and strong product competitiveness. Earlier in April, Nota AI was also recognized as one of the "Top 100 Global Innovative AI Startups" by the global market research firm CB Insights. Looking ahead, Nota AI plans to accelerate its presence across key global markets — including the Middle East, Southeast Asia, and Europe.

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

Nota AI Achieves 100% Accuracy Through Sony IMX500®-Powered Smart Traffic Solution, Demonstrating Global Competitiveness

Nota AI Achieves 100% Accuracy Through Sony IMX500®-Powered Smart Traffic Solution, Demonstrating Global Competitiveness

Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent's launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 2, 2026 /PRNewswire/ -- Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary 'MoAI Inference Framework.'

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent's launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in 'Production-Ready LLM Inference on Tenstorrent Galaxy.'

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, "Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone," and added, "We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs."

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency