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TwelveLabs to Bring Its State-of-the-Art Video AI Models to Amazon Bedrock

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Latest collaboration enables developers to leverage TwelveLabs’ video understanding capabilities to create new applications with the security, privacy, and performance of AWS

LAS VEGAS, April 6, 2025 /PRNewswire/ — Amazon Web Services (AWS), an Amazon.com, Inc. company and TwelveLabs, the video understanding company, today announced that TwelveLabs’ state-of-the-art multimodal foundation models, Marengo and Pegasus, will soon be available in Amazon Bedrock. Amazon Bedrock is a fully managed service that offers developers access to high-performing models from leading AI companies through a single API. Seamless access to TwelveLabs’ advanced video understanding capabilities will enable developers and enterprises to transform how they search, analyze, and generate insights from video content, leveraging the security, privacy, and performance of AWS. AWS is the first cloud provider to offer models from TwelveLabs.

“This integration with Amazon Bedrock represents the next phase in our collaboration with AWS, making our video understanding AI more accessible to enterprises worldwide,” added Lee.

“Video contains nearly 80% of the world’s data, yet most of it remains unsearchable and underutilized,” said Jae Lee, Co-founder and CEO of TwelveLabs. “By making our models available through Amazon Bedrock, we’re empowering even more enterprises to bring video understanding to their existing infrastructure. Our technology enables users to search across their entire content library—from videos collected 10 years ago or 10 minutes ago—to find the precise moment they’re looking for in less than a single second, and then interpret and analyze those moments. This opens the door for all kinds of novel uses. Through the collaboration with AWS, we can extend powerful capabilities to customers and accelerate innovation across industries.”

Advanced AI Video Capabilities

Video is commonly regarded as one of the world’s largest unsearchable data sources, yet TwelveLabs’ cutting-edge technology turns it into a trove of accessible information. Whether it’s giving a sports network the ability to instantly pull every instance of a specific play style or commentator reaction or helping a broadcaster identify recurring themes across large volumes of footage, TwelveLabs helps teams turn their video archives into usable, indexable assets, unlocking both operational efficiency and new revenue opportunities.

TwelveLabs overcomes the inherent complexities associated with video understanding to allow customers to search video across all modalities. Specifically, TwelveLabs delivers:

Natural language video search that pinpoints precise content momentsDeep video understanding without requiring pre-defined labelsMultimodal AI processing visual, audio, and text simultaneouslyTemporal intelligence connecting related events across timeEnterprise solutions scaling extensive video libraries into accessible knowledge

“At MLSE, we are defining the future of the sports and entertainment business. Innovation is in our DNA, and we’re leading the charge in shaping what comes next. With powerful tools like Amazon Bedrock and TwelveLabs’ AI models supporting our vision, we’re accelerating our ability to create smarter, more immersive experiences for fans.” said Humza Teherany, Chief Strategy and Innovation Officer at Maple Leaf Sports & Entertainment.”

Unlocking the Power of Video Understanding for AWS Customers

With Marengo and Pegasus available in Amazon Bedrock, AWS customers can use TwelveLabs’ models to build and scale generative AI applications without managing underlying infrastructure. Using Amazon Bedrock, customers gain access to a broad set of capabilities while maintaining complete control over their data, benefiting from enterprise-grade security and utilizing cost control features—all essential for deploying AI responsibly at scale.

TwelveLabs’ fully managed, serverless models in Amazon Bedrock allow developers to:

Create applications that search through videos, classify scenes, summarize content, and extract insights using natural languageBuild sophisticated video understanding features without specialized AI expertiseScale video processing from small collections to massive libraries with consistent performanceDeploy solutions with enterprise-grade security and governance controls

“Video understanding is revolutionizing how industries like media & entertainment, sports, automotive, and education work with and discover content,” said Samira Panah Bakhtiar, General Manager of Media & Entertainment, Games, and Sports at AWS. “Over the last year, I have consistently said that natural language semantic search is a ‘strategic unlock’ for our entertainment customers, as they reexamine their existing intellectual property and breathe new life into it. By bringing TwelveLabs’ advanced models to Amazon Bedrock, we’re helping our customers make sense of any video moment, unlocking the full value of their treasured video assets. Businesses will now be able to easily search, categorize, and extract insights from their vast video libraries, enabling new use cases and better user experiences that were previously impossible without significant technical expertise.”

The integration will benefit multiple industries, from media, entertainment, advertising and beyond. For example:

Film and TV Studios can rapidly manage video workloads from dailies, content repacking, and archive managementSports Leagues and Teams can efficiently create match highlights and create customized fan focused content at scaleNews Agencies and Broadcasters can quickly manage large libraries to find the moments that matterStreaming services can better package and distribute content across platforms and more effectively insert relevant video ads

AWS and TwelveLabs’ integration partner Monks expressed their excitement: “We’ve been putting AI to work across the entire video value chain for IP holders, broadcasters and brands. TwelveLabs in Amazon Bedrock makes it easier to realize opportunities for monetization in broadcast news, entertainment and sports by making it simpler and more secure to build and scale applications with powerful video understanding,” said Lewis Smithingham, EVP Strategic Industries at Monks.

Expanding Collaboration Between AWS and TwelveLabs

This announcement builds on a strong existing relationship between AWS and TwelveLabs and continues the momentum of their Strategic Collaboration Agreement (SCA). TwelveLabs is working with AWS to accelerate the development of its foundation models, deploy its advanced video understanding foundation models across new industries, and enhance its model training capabilities using Amazon SageMaker HyperPod. With the reliable and scalable infrastructure offered by SageMaker HyperPod, TwelveLabs has accelerated model training while reducing training costs.

“This integration with Amazon Bedrock represents the next phase in our collaboration with AWS, making our video understanding AI more accessible to enterprises worldwide,” added Lee.

To learn about TwelveLabs’ industry leading models, please explore twelvelabs.io, Marengo 2.7 and Pegasus 1.2. Find out more about TwelveLabs models in Amazon Bedrock here.

About TwelveLabs

TwelveLabs uses multimodal foundation models to bring human-like understanding to video data. The company’s foundation models map natural language to what’s happening inside a video, including actions, objects, and background sounds, allowing developers to create applications that can search through videos, classify scenes, summarize, and extract insights with unprecedented accuracy. Headquartered in the US, TwelveLabs serves customers across media, entertainment, sports, advertising, and government. For more information, visit www.twelvelabs.io

Media Contact

Amber Moore, Moore Communications, 1 5039439381, amber@moorecom2.com, Moore Communications

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SOURCE TwelveLabs

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HR Path Strengthens its Australian Presence with Strategic Acquisition of Payroll Experts Australia

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October 21, 2026

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PARIS, Oct. 21, 2026 /PRNewswire/ — HR Path, a global leader in HR consulting and HRIS solutions, today announces its strategic acquisition of Payroll Experts Australia, a Brisbane-based company specialising in payroll compliance, remediation, workforce management and HR systems consulting.

Founded in 2009, Payroll Experts Australia has delivered more than 530 projects for over 260 organisations across Australia and New Zealand. Independent of any software vendor, the company supports employers across the full payroll, workforce management and HR systems lifecycle, with expertise spanning payroll compliance and audit, remediation, award and agreement interpretation, payroll processing, advisory and end-to-end systems implementation.

The acquisition strengthens HR Path’s ability to provide end-to-end HR transformation services across the ANZ market. Payroll Experts Australia’s specialist capabilities complement HR Path’s existing HRIS technology and SAP SuccessFactors expertise, enabling the combined organisation to support clients with a broader range of locally grounded services, from strategic advisory and systems implementation to payroll compliance and operational support. 

Payroll Experts Australia will continue to operate under the brand “Payroll Experts Australia, an HR Path Company”. Its leadership team and employees will remain in their current roles, ensuring continuity of service for clients while giving the business access to HR Path’s international capabilities and resources. 

The transaction builds on HR Path’s expansion in the region. HR Path has been active in Australia since 2019, following the acquisition of DDG. It opened an Australian office in 2024 and acquired RKM Consulting in 2025, strengthening its HRIS technology and SAP SuccessFactors capabilities across Australia and New Zealand.  

“The acquisition of Payroll Experts Australia, a company renowned for its expertise in payroll compliance, is a strategic move that supports our ambition to be the global reference in HR transformation,” said François Boulet, Co-founding Partner at HR Path. “Their deep knowledge and strong client relationships in Australia complement our global capabilities, enabling us to deliver even more value to our clients. This partnership is about synergy, innovation, and shared commitment to excellence.”

“We are very happy about this new chapter!” said Steve Keenaghan, Chief Executive Officer at Payroll Experts Australia. “This step opens up exciting opportunities for our team and our clients and ensures our continued growth and success. We will maintain our commitment to delivering exceptional, independent payroll expertise while exploring new possibilities within HR Path.”

Contact:

Fabienne LATOUR  Fabienne.latour@hr-path.com

 

 

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Sungrow Powers Up for All Energy Australia 2026 With New Residential Innovation and Full Ecosystem Showcase

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October 21, 2026

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MELBOURNE, Australia, Oct. 21, 2026 /PRNewswire/ — Sungrow, the global leader in PV inverter and energy storage solutions, is set to make a strong return to All Energy Australia 2026, the region’s largest and most influential renewable energy exhibition. It will introduce its next-generation all-in-one residential flagship PowerHarbour, alongside a comprehensive showcase of technologies for residential, C&I, and utility-scale applications.

As Australia accelerates toward a cleaner, more resilient energy future, Sungrow’s presence at All Energy will once again serve as a central meeting point for industry leaders, installers, innovators, and policymakers. The booth will offer visitors a rich blend of product demonstrations, technical insights, interactive experiences, and opportunities to connect with Sungrow’s local engineering and sales teams.

A New Addition to Residential Energy Storage

At the upcoming All-Energy 2026, Sungrow will officially unveil PowerHarbour in Australia for the first time. It is a residential all in one solution designed to simplify energy independence for homeowners. It combines sleek design, intelligent integration, advanced safety features and a modular design that can deliver up to 120kWh of capacity. The enhanced AFCI 3.0 protection makes it one of the most flexible and homeowner‑friendly systems on the market. The result is a clean, integrated solution that empowers households to take control of their energy with confidence and ease.

C&I Solutions for Diverse Applications

The exhibition will also showcase Sungrow’s C&I portfolio, including PowerKeeper, deployed across diverse Australian environments, and the ST255CS liquid-cooled BESS cabinet, designed for applications such as microgrid stability and FCAS. Together, these solutions demonstrate Sungrow’s capabilities in delivering flexible, reliable energy storage for a wide range of commercial and industrial needs.

Utility-Scale Innovation on Display

For utility developers and EPCs, Sungrow will present a full-size PowerTitan 3.0, giving visitors a rare opportunity to see the battery container up close. Together, PowerTitan 3.0 and 1+X modular inverter demonstrate advanced energy storage, grid-forming capabilities, and flexible deployment for complex project environment. Backed by dedicated local project management, comprehensive technical support, and a growing project pipeline across Australia and New Zealand.

Visit Sungrow at Booth KK123

Sungrow invites all attendees to visit Booth KK123 at All Energy Australia 2026 to experience its latest residential, commercial, and utility‑scale innovations firsthand. Attendees can expect a vibrant and engaging atmosphere throughout the day featuring lucky draws with exciting prizes, free premium coffee, photobooth and insightful presentations. The booth promises a full day of discovery, connection, and inspiration. Sungrow looks forward to welcoming partners, customers, and renewable energy enthusiasts as we continue powering Australia’s clean energy future together.

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SOURCE Sungrow

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AglaiaSense and Leopard Imaging to Demonstrate Privacy-First AI Traffic Sensing at Smart City Expo World Congress in Barcelona

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October 21, 2026

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FREMONT, Calif. and BARCELONA, Spain, Oct. 21, 2026 /PRNewswire/ — AglaiaSense and Leopard Imaging will exhibit together at Smart City Expo World Congress, November 3–5, 2026, at Fira Barcelona Gran Vía.

The two companies proposed AI-VIVA (Vision Intelligence for València and Arterials) and is selected as a finalist in the fifth urban challenge of Barcelona Innova Lab Mobility (BILM), on the application of artificial intelligence to traffic-light regulation. AI-VIVA combines AglaiaSense’s edge-AI traffic solutions with Leopard Imaging’s patented privacy architecture. At the show, the team will give a live demonstration of AglaiaSense’s signature MS500 and GS500 cameras, with the AglaiaSense AI Box, powered by NVIDIA, which adds local processing to coordinate groups of neighboring intersections.

The cameras analyze images inside the device, using the Sony IMX500 and IMX501 intelligent vision sensors. They count and classify vehicles, buses, cyclists and pedestrians in real time. Raw video is discarded on the device within 400–800 milliseconds, and only anonymous metadata is transmitted. Cities can feed that data into signal-control software to adapt traffic lights to real demand.

MS500: about 2 W average power, 1080p, powered from a standard NEMA or ZHAGA street-light socket.

GS500: about 6.5 W average, dual 4K cameras, with Ethernet, LTE Cat 4 and GPS; powered by PoE, 12–24 V DC or a NEMA adapter.

Both cameras: IP66-rated, −20 °C to +65 °C, mounted on existing poles, so no trenching or new masts are needed.

Bandwidth: more than 95% lower than CCTV-based monitoring.

“Cities want safer, smoother streets without turning every crossing into a surveillance point,” said Leon Luo, CEO of AglaiaSense. “Being named a finalist in Barcelona tells us the approach resonates.”

“Privacy has to be built into the camera, not added later,” said Bill Pu, CEO of Leopard Imaging.

AglaiaSense’s solutions are deployed across North America and Asia, and the company won first place in the Pedestrian Safety Challenge Hackathon, run by the Edge AI Foundation (formerly the tinyML Foundation) and the City of San José. In field tests, the systems achieved detection and counting accuracy above 95%. The City of Lakewood, Colorado, compared the GS500 with traditional IP cameras and LiDAR on real roads and found it more accurate, more energy-efficient, and less costly to deploy. At a high-risk crossing where pedestrians often crossed outside the crosswalk, the system alerted approaching drivers in real time.

Visit us at Pavilion 3, Level 0, Street D, Stand 71. To book a meeting, email sales@aglaiasense.com.

About AglaiaSense

AglaiaSense, is an edge-AI company specializing in privacy-first, vision-based sensing for smart cities. Its GS500 and MS500 cameras run AI on the image sensor to count and classify road users in real time and send only anonymous metadata.

About Leopard Imaging

Leopard Imaging is a global leader in high-definition embedded cameras and AI-based imaging solutions in industries including automotive, aerospace, drones, IoT, and robotics.

Media contact:

Cathy Zhao

+1 (408) 263-0988

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