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SensiML Integrates Cutting-Edge Generative AI Voice Technology in its ML DataOps Software for the IoT Edge

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 – SensiML Data Studio Democratizes Voice Recognition on Tiny Devices with New Text-to-Speech Synthetic Dataset Generation Feature

PORTLAND, Ore., July 25, 2024 /PRNewswire/ — SensiML™ Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: QUIK), today released a new generative AI feature to enhance Data Studio, its dataset management application for IoT edge devices. This innovative new capability allows embedded device developers to utilize text-to-speech (TTS) and AI voice generation to rapidly create hyper-realistic synthetic speech datasets that are essential for building robust keyword recognition, voice command, and speaker identification models. Using these rapidly generated speech datasets, developers can now easily create speech recognition AI models using SensiML’s AutoML development tools. These models are specifically optimized to run autonomously and efficiently on low-power microcontrollers utilized in edge IoT applications.

By leveraging cutting-edge speech generation technology from ElevenLabs, SensiML’s new feature simplifies the creation of large high-quality datasets. Developers can now generate synthetic speech data with unparalleled realism, and tailored voice attributes like pitch, cadence, and tone to meet specific application requirements. This eliminates the time-consuming and costly process of manually recording phrases from large populations of diverse speakers, accelerating time-to-market for voice-enabled IoT devices.

Designed for user friendliness, the new TTS and AI voice generation feature enables seamless integration into existing Data Studio workflows.

Key benefits of SensiML’s generative AI enhancement include:

High-Quality Voice Output: Produces natural and expressive voice samples, enhancing user experiencesVersatility: Supports a wide range of languages and dialects, catering to diverse global marketsEfficiency: Streamlines the process of integrating voice generation into AI models, reducing time-to-marketScalability: Suitable for applications of all sizes, from small IoT devices to large-scale deployments

“With the introduction of this generative AI feature into our Data Studio application, SensiML continues to push the boundaries of what’s possible in AI for IoT,” said Chris Rogers, CEO of SensiML. “Developers can now harness state-of-the-art synthetic speech technology to create highly accurate and diverse training datasets, accelerating the deployment of intelligent voice-controlled applications directly on microcontrollers.”

The created datasets are seamlessly compatible with SensiML’s Analytics Studio and its open-source AutoML tool, Piccolo AI™, facilitating a smooth transition from dataset creation to model deployment.

Real-World Example:
Consider a smart home security system that uses voice commands for activation and status updates. With SensiML’s new text-to-speech and AI voice generator feature, developers can efficiently create extensive voice datasets, enabling the system to recognize a wide range of user commands accurately. This advancement accelerates the development and deployment of the system, ensuring homeowners benefit from an advanced, reliable, and responsive security solution without the need for constant internet connectivity.

This feature marks a significant advancement in the capability of developers to custom build their own ML code for IoT devices needing to handle complex voice and sound recognition tasks directly on-device, without the need for constant connectivity or high computational power. It is particularly beneficial for applications in environments where connectivity may be inconsistent, and where fast, reliable processing is crucial.

About SensiML

SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports a growing list of hardware including 8/16/32-bit MCUs from Microchip®, Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core AI/ML optimized SoCs. For more information, visit https://sensiml.com.

SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be treated as such.

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SOURCE SensiML Corporation

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Moonlock by MacPaw Wins Red Dot Award 2026

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Moonlock earns recognition in the Interface & User Experience Design category, proving that thoughtful design belongs in cybersecurity as much as anywhere else.

BOSTON, Sept. 7, 2026 /PRNewswire/ — MacPaw is proud to announce that Moonlock, its antivirus and protection app for Mac users, has been named a winner of the 2026 Red Dot Award: Brands & Communication Design, recognized in the Interface & User Experience Design category. The award is an international mark of design excellence, judged on the strength of an idea, its execution, and its real-world impact.

Since launching in October 2025, Moonlock has taken a different approach to cybersecurity, reflected in every detail of the app. Its intuitive interface, plain-spoken copy, and hand-drawn illustrations replace the cold, technical tone common to security software. The result is a security app making protection feel easy and stress-free for everyone, expert or not.

Clear, human, beautiful products are a core MacPaw value, and the company pays attention to every detail, from aesthetics to user experience. Moonlock is no exception: it was built to make cybersecurity accessible to everyone, whatever their background — and design is central to that mission.

“Cybersecurity has a reputation for being intimidating — all alerts and jargon, with the sense that you need to be an expert just to stay safe. We built Moonlock to change that,” said Oleg Stukalenko, Head of Product Management at Moonlock by MacPaw. “From the start, we wanted it to feel human and welcoming, so that online protection becomes a natural part of everyday life rather than something people worry about. We think of design as everything someone actually experiences with us, not just the screen in front of them. Having the Red Dot jury recognize that work means a lot to the whole team.”

The Red Dot Award: Brands & Communication Design celebrates the craft behind how a product looks, feels, and speaks to the people who use it. Held since 1993, the competition is open to established and emerging designers, agencies, and companies across 18 categories. Each year, an international jury of 30 experts from design, science, media, and consultancy evaluates the entries, bringing a wide range of professional and cultural perspectives to every decision.

With this win, Moonlock continues MacPaw’s legacy of design excellence. It is the company’s fourth Red Dot Award: in 2017, Gemini 2 became the first macOS application to win the honor, followed by CleanMyMac in 2021 and CleanMy®Phone in 2024.

About Moonlock

Moonlock is a part of the MacPaw ecosystem that offers simple, approachable, and stress-free Mac protection and antivirus capabilities.

About MacPaw

MacPaw is a global technology company founded in Kyiv, Ukraine, with offices in Boston, MA and the EU, creating a digital ecosystem for Mac users. Combining capabilities such as system care, cybersecurity, app discovery, and more, the ecosystem aims to unite MacPaw’s suite of software, third-party tools, and AI solutions to collaborate on behalf of the user. Through Eney, an AI-powered assistant and the interface of the ecosystem, MacPaw aims to help users and developers within their workflows, driving the next generation of human-computer interaction.

Contacts

pr_team@macpaw.com 

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SOURCE MacPaw

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DBGallery Delivers “AI Knowledge Layer for Visual Assets,” Bringing Automated Enterprise DAM to Organizations of All Sizes

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Automated AI metadata converts photos and videos into structured organizational knowledge, transforming digital chaos into a strategic advantage without the manual effort.

TORONTO, Sept. 7, 2026 /PRNewswire-PRWeb/ — DBGallery today announced the expansion of its visual intelligence capabilities, formally positioning its platform as an AI Knowledge Layer for Visual Assets for organizations and teams of all sizes. By replacing manual keywording with automated AI metadata analysis, DBGallery converts raw photos, graphics, and video into rich, structured organizational knowledge the moment they are uploaded.

For years, visual assets lost value because nobody had the bandwidth to tag them. With an automated metadata layer, that changes completely. Visual media becomes instantly discoverable, creating compounding, multi-year value, and puts DAM within reach of more organizations.

Historically, Digital Asset Management (DAM) was reserved for large media organizations with dedicated archiving staff. Resource-constrained teams across tourism boards, municipalities, higher education, non-profits, and marketing teams across numerous industries were locked out by the sheer labor required to manually tag thousands of files—turning vast digital asset libraries into unsearchable “file graveyards.”

DBGallery’s AI Knowledge Layer changes that economic equation by shifting DAM from a labor-intensive requirement into an automated, accessible workflow hub.

“For years, visual assets lost value over time because nobody had the bandwidth to tag them properly,” said Glenn Rogers, Director of Product and Project Management at DBGallery. “When you introduce an automated metadata knowledge layer, that changes completely. Visual media becomes instantly discoverable through structured context, custom prompt targeting, embedded OCR text, and interactive video transcripts. The metadata doesn’t just solve today’s search, it creates compounding, multi-year value for the entire organization, and brings DAM within reach to more organizations.”

Key Capabilities of the DBGallery AI Knowledge Layer include:

Automated Auto-Enrichment: Extracts OCR text from images and PDFs, identifies objects and faces, and summarizes photo and video content upon upload or subsequent batch analysis.Custom AI Description Prompts: Admins and users can tailor global or image-specific prompts to extract structured domain data—ranging from architectural style identification and brand compliance to social media captions and emotional tone analysis—and can be outputted as HTML or JSON for direct ingestion into websites or ERP systems.Interactive Video Transcription & Timelines: Generates time-stamped, sentence-by-sentence spoken transcripts aligned with video playback, allowing teams to click any transcript line to jump instantly to that exact moment in the video.Non-Spoken Scene Analysis: Automatically inserts AI visual scene descriptions into pauses in speech or non-verbal video clips, ensuring complete visual context alongside spoken transcripts.

This AI framework is integrated directly into DBGallery’s production-proven platform, capable of scaling to millions of assets and thousands of users. Designed specifically for multi-user team collaboration, the platform combines Single Sign-On (SSO) and granular action-level permissions with full audit trails, custom metadata fields, usage analytics, and cloud or on-premises deployment options.

By combining cutting-edge AI automation with a secure, highly scalable foundation, DBGallery allows organizations of any size to deploy enterprise-grade digital asset management without adding administrative headcount or compromising on data governance.

To explore the AI Metadata Value Chain or learn more about DBGallery’s enterprise AI capabilities, visit https://dbgallery.com/ai.

About DBGallery

DBGallery is a leading Digital Asset Management (DAM) platform trusted by over 100+ brands across more than 25 countries, ranging from non-profits and educational institutions to global enterprise organizations. By combining scalable SaaS or on-premises architecture with powerful AI metadata automation, DBGallery empowers teams of any size to organize, discover, and turn visual media into structured, searchable business data. Learn more at https://dbgallery.com and https://dbgallery.com/ai.

Media Contact

Glenn Rogers, DBGallery, 1 8888080381, grogers@dbgallery.com, https://dbgallery.com

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Coda Launches Fresh Coda.co Website, Built for Publisher Growth

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SINGAPORE, Sept. 7, 2026 /PRNewswire/ — Coda today launched a revamped Coda.co website, creating a more comprehensive destination to explore Coda’s products, pricing, insights, and global capabilities.

The new Coda.co has been rebuilt to meet the needs of Coda’s B2B audiences, with gaming remaining at the heart of Coda’s business and expertise. The site also reflects how Coda is bringing that experience to a growing range of digital commerce businesses across entertainment, education and other verticals.

Designed to make it easier to evaluate opportunities with Coda, the site brings together practical information on market dynamics and local payment preferences alongside richer product pages, case studies and pricing.

The new Market Guides provide a country-level view of consumer behavior, payment preferences, and growth opportunities across 49 markets, while the Payment Guides go deeper on 94 individual payment methods worldwide, covering reach, adoption, and integration considerations.

Coda has also introduced a dedicated Pricing page that offers greater transparency into standard and custom pricing options, payment method coverage, and other commercial considerations. This sits alongside an expanded repository of case studies, white papers, and blog posts, providing deeper insight into why businesses choose Coda and how they use its Merchant of Record service and broader product suite to grow revenue, enter new markets, and build stronger direct-to-consumer channels with ease.

Shane Happach, CEO of Coda, said, “Publishers and brands are making decisions across more markets, payment methods and channels than ever. Our job is to bring clarity to that complexity. The new Coda.co provides a sharper view of the commercial opportunities we see and how Coda’s products and services help our partners turn that potential into meaningful growth. Gaming remains central to Coda, and the expertise we’ve built in the industry continues to shape how we help partners grow across digital commerce.”

The new Coda.co launch marks another milestone in Coda’s evolution as a global digital commerce leader, with a site designed to grow alongside its products, partnerships, and ambitions. The website will be available in Japanese, Chinese, and South Korean languages by the end of the year.

Learn more at the new www.coda.co

About Coda

Coda is a global leader in monetization, distribution, and commerce, trusted by the biggest names in gaming, entertainment, and technology, including Activision, Electronic Arts, Riot Games, Ubisoft, and Moonton. Founded in 2011 and headquartered in Singapore, Coda operates with 670+ employees worldwide, with core hubs in Asia and Europe. Coda combines payments, commerce, distribution, and rewards to drive global revenue growth for brands and publishers.

Coda’s products include Codapay, which provides access to 400+ payment methods across 80+ markets through a single API integration; Coda Webstore, which powers fully customized direct-to-consumer storefronts; Coda Consumer Platforms, including Codashop, Recharge.com, and Startselect.com; Coda Distribution, which extends reach through a network of commerce partners; and Giftcloud, a UK-based rewards business serving enterprise customers across Europe.

Coda is backed by Apis Partners, Insight Partners, Smash Capital, and GIC, and has been named an APAC High Growth Company (2023) by Financial Times, one of Granite Asia’s NextGenTech 30 (2024), a payments leader on Fortune’s Fintech Innovation Asia list (2024), and listed among The Straits Times Fastest Growing Fintechs (2024). For more on Coda, visit coda.co.

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SOURCE Coda

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