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Yahoo
2 days ago
- Automotive
- Yahoo
Nota AI Launches Korea's First Commercialized VLM-Powered Solution for Real-Time Video Surveillance
Real-time generative AI reduces false positives and enhances situational awareness Proven in industrial safety and now expanding to transportation, retail, and childcare SEOUL, South Korea, Aug. 12, 2025 /PRNewswire/ -- Nota AI, a leading provider of AI model optimization technology, today announced the official launch of NVA (Nota Vision Agent), its real-time video monitoring solution powered by cutting-edge generative AI, specifically Vision-Language Models (VLMs). Unlike conventional video monitoring systems that rely solely on simple object detection, NVA interprets complex scenes by understanding object relationships, identifying violations of operational procedures, and detecting multifaceted risk indicators in real time. While several companies have showcased VLM-powered prototypes, Nota AI is the first in Korea — and among the few globally — to successfully deploy such a solution in real-world industrial environments. NVA addresses long-standing issues with traditional computer vision (CV) solutions, such as frequent false positives, missed detections, and complicated rule configuration. Its intuitive interface enables natural-language-based Q&A and automatic report generation, significantly boosting operational safety and responsiveness. Following successful field validation, Nota AI has begun accelerating deployments across multiple sectors. Notably, in collaboration with Kolon Benit, the company successfully completed an eight-scenario PoC (Proof of Concept) at Kolon Industries' Gimcheon 2 Plant. A Kolon Industries representative stated, "NVA elevates monitoring to a new level by detecting violations of standard operating procedures (SOPs) and identifying complex risk patterns before they escalate." Traditional systems could only detect discrete objects such as "person" or "vehicle," falling short in preventing accidents involving layered factors like task sequence, equipment status, and environmental context. NVA was designed to overcome these limitations by understanding real-time situational context. For example, it can detect multi-factor scenarios such as "working alone on a ladder without safety gear" and trigger alerts — integrated with field equipment — within 2.5 seconds through a prompt-based interface. Fast deployment and flexible rule updates are also key advantages. While conventional AI monitoring solutions typically require more than three months to implement new detection rules, NVA reduces this to less than a week. Full system installation and activation takes just 2–3 weeks. Moreover, NVA seamlessly integrates with existing CCTV infrastructure, enabling easy adoption without hardware replacement. The solution scales from small sites to large industrial facilities, with robust data protection enabled by end-to-end encryption. With this launch, Nota AI is planning to expand NVA to global markets, including the Middle East and North America. The company is currently validating its applicability across various domains such as industrial safety, targeted monitoring, ITS, retail, and childcare, and is actively pursuing commercialization through partnerships with domestic and international stakeholders. "NVA delivers real impact in industrial settings by reducing risks and improving workplace safety," said Myungsu Chae, CEO of Nota AI. "It represents a practical and effective application of generative AI, purpose-built to address complex challenges across industries. Our goal is to make NVA the global benchmark for industrial AI monitoring." He added, "As we prepare for our IPO, NVA is more than just a new product — it's a strategic milestone that showcases our technological maturity and commercial readiness. We believe it will be a cornerstone in establishing Nota AI's leadership in the industrial AI domain." View original content to download multimedia: SOURCE Nota AI
Yahoo
05-06-2025
- Business
- Yahoo
Was Jeff Bezos-Backed WhyLabs Secretly Acquired By Apple After $10M Series A To Compete In AI Arms Race Against Google, OpenAI, And Microsoft?
Apple (NASDAQ:AAPL) has reportedly secretly completed the stealth acquisition of WhyLabs, a Seattle-based AI startup focused on real-time monitoring and security for artificial intelligence applications, GeekWire says. Founded in 2019, WhyLabs was spun out of the Allen Institute for AI and gained traction with its observability platform, which was recently upgraded for real-time security monitoring of generative AI applications. GeekWire says that while no official announcement has been made, multiple signals across the web suggest the deal has closed. Don't Miss:Invest where it hurts — and help millions heal:. According to GeekWire, Perry Wu, former general partner at AI Fund, lists the company on his LinkedIn profile as 'Acq by Apple.' Meanwhile, AI Fund itself, co-founded by Coursera's Andrew Ng, quietly updated WhyLabs' portfolio entry to read 'was acquired in 2025.' Executives from both Apple and WhyLabs have yet to confirm the deal, but GeekWire says the clues continue to stack up. WhyLabs was founded by a powerhouse team of AI experts. CEO Alessya Visnjic, an eight-year veteran at Amazon (NASDAQ:AMZN), co-founded the company with Andy Dang and Sam Gracie, both former Amazon engineers, as well as Maria Karaivanova, previously an executive at Cloudflare (NYSE:NET) and a principal at Madrona Venture Group, GeekWire says. The startup gained early attention following its $10 million Series A round in 2021, co-led by Andrew Ng's AI Fund and Defy Partners. Other investors included Bezos Expeditions, the personal venture arm of Amazon founder Jeff Bezos, along with Seattle's Ascend and Madrona Venture Group. That round valued the company at $37 million, according to PitchBook data cited by GeekWire. Trending: Maximize saving for your retirement and cut down on taxes: . WhyLabs quickly carved out a niche as one of the few AI infrastructure startups focused on observability, a field that has become critical as companies race to deploy generative AI tools without exposing themselves to security risks or compliance failures. In April last year, WhyLabs announced it launched an upgraded version of its platform with real-time monitoring features tailored for large language models. According to GeekWire, the startup earned recognition as one of the top privately held companies in the Pacific Northwest, ranking No. 81 on the GeekWire 200 and being named a finalist for Startup of the Year at the 2023 GeekWire Awards. Apple has steadily expanded its presence in Seattle, making the city a quiet hub for its enterprise software and AI ambitions. GeekWire reports that over the past decade, the company has acquired several AI startups in the region, including Turi in 2016, Union Bay Networks in 2014, and in fits into a similar mold. With Apple announcing investments in on-device AI features, including updates rumored for the next iteration of iOS and Siri, acquiring a startup that specializes in secure, explainable AI is a move that aligns with Apple's push for secure, on-device AI. According to GeekWire, earlier this year, Apple leased more office space in downtown Seattle, signaling continued investment in the region's deep engineering talent. As the race to build more private, efficient AI accelerates, WhyLabs' technology could play a central role in Apple's push to close the perceived innovation gap with OpenAI, Microsoft (NASDAQ:MSFT), and Google. Read Next: Can you guess how many retire with a $5,000,000 nest egg? . Image: Shutterstock UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? APPLE (AAPL): Free Stock Analysis Report TESLA (TSLA): Free Stock Analysis Report This article Was Jeff Bezos-Backed WhyLabs Secretly Acquired By Apple After $10M Series A To Compete In AI Arms Race Against Google, OpenAI, And Microsoft? originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
