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Contel Smart Energy Unveils Energynie™: its composable AI-driven platform for scalable renewable energy management

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PETACH-TIKVA, Israel, Feb. 5, 2025 /PRNewswire/ — Contel Smart Energy proudly announces the launch of Energynie™, its next-generation composable platform designed to transform renewable energy optimization. Built to quickly adapt, scale and integrate new technologies, Energynie™ can seamlessly manage diverse energy assets (PV, wind, storage, engines) under different site configurations (hybrid technologies, ground-mounted, rooftops, dual-use, microgrids and more).

The outstanding modularity of the platform empowers a broad spectrum of customers, including Independent Power Producers (IPPs), EPC (Engineering, Procurement, and Construction) companies, O&M and Asset Management providers, and C&I entities, to stay agile and competitive in a fast-paced, technology-driven industry.

Energynie™ is the result of years of expertise from Contel Smart Energy’s technology and hands-on field engineering teams. It provides a comprehensive solution tailored to the dynamic needs of the renewable energy sector, today and in the future.

The platform supports a suite of advanced features, including a centralized and customizable dashboard that consolidates metrics per site and across asset portfolios, ensuring effective performance monitoring, alarming and troubleshooting, and decision-making. By leveraging machine learning algorithms, Energynie™ analyzes historical and real-time data to predict energy production, anticipate consumption patterns, and identify potential faults for optimized performance.

Its AI-driven insights enable proactive fault detection, predictive maintenance, and real-time system adjustments, ensuring operations run at peak efficiency. Additionally, the platform offers robust data visualization tools to help users analyze performance trends and make informed energy management decisions. Customized reports further empower users with actionable insights into critical operational and financial metrics, while its API integration and cutting-edge cybersecurity ensure seamless compatibility and robust protection for sensitive data.

“We are proud to announce that hundreds of customer sites have successfully transitioned to Energynie™ without operational disruption,” said Nir Shadmi, CEO of Contel Smart Energy. “This platform equips our customers with the solution they need to make real-time, data-driven decisions, optimize performance, and maximize profitability. Energynie™ reflects our commitment to delivering innovative, scalable solutions that drive the renewable energy industry forward.”

“Contel Smart Energy has been our trusted partner for many years, delivering countless successful projects together. We are excited to use the new Energynie™ environment to drive our business success and continue to lead the market with Contel’s premier SCADA and EMS,” said Michael Lospa, Head of Engineering at BELECTRIC IL.

Developed in partnership with Inductive Automation, the platform has garnered praise for its ingenuity. “Energynie™ sets a new standard in global energy management systems,” said Travis Cox, Chief Technology Evangelist at Inductive Automation remarked. “Its adaptability and performance highlight the innovative spirit behind its creation.”

About Contel Smart Energy

Contel Smart Energy empowers renewable energy players – IPPS, EPCs, Asset Management, C&Is – to outsmart production at scale with minimal risk and maximum profitability. As part of the Contel Technologies Group – backed by over 60 years of expertise in industrial automation – Contel Smart Energy combines robust hardware, innovative software, and hands-on field expertise to help customers achieve their ambitious renewable energy production goals.

View original content:https://www.prnewswire.co.uk/news-releases/contel-smart-energy-unveils-energynie-its-composable-ai-driven-platform-for-scalable-renewable-energy-management-302367740.html

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TravelingWiki Foundation Launches SportsFanWiki.com, Providing Disabled Fans with Sports Venue Specific Information in Wiki Format

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The setup of SportsFanWiki.com mirrors the extremely successful format of TravelingWiki.com, which documents disability resources for all FAA Large Sized and FAA Medium Sized hub airports and leverages the launch of a GenAI platform to ensure access across society to expanded disability resources information.

LAS VEGAS, April 27, 2026 /PRNewswire-PRWeb/ — TravelingWiki Foundation announces the launch of SportsFanWiki.com, providing a comprehensive database of sports venue information for fans with Non Visible Disabilities. The setup of SportsFanWiki.com mirrors the extremely successful format of TravelingWiki.com, which documents disability resources for all FAA Large Sized and FAA Medium Sized hub airports.

Leadership of TravelingWiki Foundation is honored to expand to sports venue disability information, offered free to the public and funded via the the sale of cards from the extraordinary careers of Michael Jordan, Lebron James, Shohei Ohtani and Mickey Mantle.

The launch of SportsFanWiki occurs at the same time as the launch of ShoheiAutographs.com; MantleRookies.com; KobeRookies.com; and LebronRookies.com, offering market leading sports card inventory of Shohei Ohtani, Mickey Mantle, Kobe Bryant and Lebron James, respectively. The launch highlights TravelingWiki’s services offered including new Generative AI functionality via a GenAI platform currently in beta testing. The launch also spotlights TravelingWiki’s CardForACause.com platform for free disability resources offered to 20 million Americans for no cost as funded with sports cards sales nationwide via the most two recent White House administrations.

TravelingWiki CEO Jonathan Sutter notes, “Leadership of TravelingWiki Foundation is honored to expand to sports venue disability information, offered free to the public and funded via the the sale of cards from the extraordinary careers of Michael Jordan, Lebron James, Shohei Ohtani and Mickey Mantle, to highlight the critical resources offered via TravelingWiki for the Non Visible Disability community.”

More information about the non-profit work of TravelingWiki foundation is available via visiting http://www.Travelingwiki.com.

Media Contact

Jonathan Sutter, TravelingWiki Foundation, 1 4044033333, jonathan.sutter@travelingwiki.com, http://www.TravelingWiki.com

Jonathan Sutter, TravelingWiki Foundation, 1 4044033333, jonathan.sutter@travelingwiki.com, http://www.TravelingWiki.com

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View original content:https://www.prweb.com/releases/travelingwiki-foundation-launches-sportsfanwikicom-providing-disabled-fans-with-sports-venue-specific-information-in-wiki-format-302753876.html

SOURCE TravelingWiki Foundation

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AiPPT.com Expands Its Approach to Turning Information into Ready-to-Use Presentations in India

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NEW DELHI, April 27, 2026 /PRNewswire/ — AiPPT.com has refined its platform as demand continues to grow in India for faster ways to turn everyday information into structured presentations.

Across universities, coaching centers, startups, and corporate teams, presentation work often begins with scattered material from notes, documents, and online sources. The platform focuses on converting this workflow into a single process that produces usable slides from raw input. The aim is to reduce preparation time while keeping presentations clear and ready for use.

A Workflow Built Around Content

AiPPT.com allows users to start in familiar ways. A topic can be entered directly, or files such as Word and PDF documents can be uploaded. Web content can also be converted into slides via the URL-to-PPT feature, which turns online information into structured presentations.

The system analyzes the input and builds a presentation with clear sections and logical flow. Slides are generated with formatting applied automatically, reducing manual effort.

For users looking for inspiration, AiPPT.com also provides resources such as easy presentation topics to help them get started more quickly.

From Scattered Information to Clear Communication

In academic and workplace settings, information is often spread across multiple formats. Turning this into a structured presentation can take time.

AiPPT.com simplifies this process. A report can become a meeting deck. A research paper can be turned into a seminar presentation. Startups can quickly build investor materials using the AI pitch deck generator. Educators can create structured lessons with support from tools designed for teaching, such as AI for teachers.

A Flexible System for Editing and Conversion

AiPPT.com supports full editing after generation. Users can adjust text, change slide order, or refine structure. Presentations can also be edited directly through its online PPT editor.

Users can also choose from a range of presentation templates to match different use cases. This flexibility helps users adapt presentations for classrooms, meetings, and digital sharing without rebuilding them.

About AiPPT.com

AiPPT.com is an AI-powered PPT generator focused on turning information into structured presentations. The company builds tools that connect content creation, organization, and presentation in one workflow. Its goal is to support clearer communication by helping users transform ideas and materials into ready to use slides efficiently.

Contact Information
Company Name: PIXELBLOOM PTE. LTD.
Email: support@aippt.com

Website: https://www.aippt.com/

View original content:https://www.prnewswire.com/in/news-releases/aipptcom-expands-its-approach-to-turning-information-into-ready-to-use-presentations-in-india-302753879.html

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Toku launches Makimoto: open-source conversational AI built for Asia-Pacific data residency

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A composable architecture that keeps customer data in-country from day one and outlasts the components inside it.

SINGAPORE, April 27, 2026 /PRNewswire/ — Toku, a Singapore Exchange (SGX) Catalist-listed AI-powered customer experience platform, today launched Makimoto, its open-source initiative for conversational AI in Asia-Pacific. The first release, Makimoto Kawa (“Kawa”), will be available from 1 July 2026 as a managed transcription API1 service hosted in Singapore. Additional country-specific APIs and a containerised, self-hostable release will follow, enabling deployment in the customer’s cloud, data centre, or jurisdiction of choice. The waiting list for early access opens today at makimoto.ai. Alongside the waiting list, Toku is opening ten Singapore-based roles on the Makimoto team for recent graduates.

“In an era where AI capabilities evolve on a weekly cycle, the biggest risk of any technology decision is creating tomorrow’s legacy today. Makimoto is our response: a composable architecture where every component can be swapped as the field evolves.” said Thomas Laboulle, Founder and CEO at Toku.  

A response to a fragmenting regulatory landscape

Data-processing regulations across Asia-Pacific are tightening and diverging. Indonesia’s Personal Data Protection Law, Vietnam’s Personal Data Protection Law, and recent updates to Singapore’s PDPA have all raised the weight that enterprises place on where audio, transcripts, and customer conversations are processed. For teams building voice and chat automation across the region, the primary engineering question is no longer which model is most accurate: it is which deployment satisfies each regulator while scaling across markets.  

Makimoto is designed to answer that question on day one, and to keep answering it as requirements evolve. Kawa’s first release runs exclusively in Singapore, keeping customer audio and transcripts within the country and supporting in-country processing for customers subject to Singapore’s PDPA and regulated-sector guidelines, including those issued by the Monetary Authority of Singapore.  

Makimoto gives teams optionality for markets such as Indonesia and Vietnam, which enforce among the strictest in-country data-processing mandates on real-time communications and transcription services, frequently requiring local servers for critical or personal data.

“With Kawa, customer data is processed in country, not just stored there. Every stage of the pipeline runs within a single jurisdiction, so our customers always know exactly where their data is going.” said Thomas Laboulle.  

Orchestration-first: composable by design  

Makimoto Kawa is an open-source orchestration framework that assembles, configures, and runs multiple open-source components as a production-grade transcription pipeline. What Toku open-sources under the MIT licence2 is the orchestration layer itself: the glue code, configuration, and APIs that allow every component in the pipeline to be swapped without rewriting the surrounding system.  

Kawa will be offered through two APIs at launch: one for real-time transcription, which developers can use to build live voice agent experiences, live captioning, or in-conversation analytics; and one for post-conversation transcription, suited for recorded calls, voicemail, and batch analytics of archived conversations. Under the surface, both APIs run the same five-stage modular pipeline: audio resampling, noise filtering and audio enhancement, voice activity detection with speaker diarisation, speech-to-text inference, and post-processing for normalisation, temporal ordering, speaker labelling, and structured output. Operators can swap or tune any individual stage to optimise for a given language, domain, or deployment environment.

Makimoto is a natural extension of the composable customer engagement approach recognised by Gartner in its Cool Vendor research.  

“We are obsessed with the orchestration layer, because models and components turn over every few months, but the layer that keeps them swappable is what makes the whole stack durable.” said Thomas Laboulle.  

A progressive path to full transparency  

At launch, Makimoto opens the orchestration layer of Kawa as MIT-licensed source code, while its internal components, including voice activity detection, diarisation, noise handling, the speech-to-text model, and post-processing, remain managed by Toku. Over subsequent releases, Toku will progressively open additional layers of the pipeline, working towards full transparency and community modifiability of every component. This phased approach lets the Makimoto community review, contribute to, and eventually replace each part of the stack while Toku maintains production stability for early-access users.  

Makimoto is operated through Makimoto Technology Pte Ltd, a wholly-owned subsidiary of the Toku Group, established to preserve community trust and transparent governance, and to maintain a clear distinction between the enterprise and community editions of Kawa. Toku believes this separation unlocks innovation in both: the community edition evolves under open governance and external contribution, while the enterprise edition stays focused on the reliability, security, and commercial support that regulated-sector customers require. Toku commits to keeping Makimoto’s open-source components permissively licensed, with no plans to adopt source-available or Business Source License-style terms. Over time, additional components of Toku’s technology stack will migrate into Makimoto, evolving the group’s architecture toward an open-core approach that reinforces the composability thesis at the heart of this initiative.

Developing future-ready talent  

Alongside the early-access programme, Toku is opening ten Singapore-based positions on the Makimoto team, open to recent graduates of Singapore’s universities and polytechnics. The roles span engineering, developer relations, and community work. The hiring programme reflects Toku’s conviction that Asia-Pacific open-source infrastructure benefits from engineers and community builders rooted in the region, and that Makimoto should be a place where early-career talent joins a production-grade open-source initiative from the start. Applications open today at makimoto.ai.  

A complement to the regional AI ecosystem  

Makimoto is designed to complement, not replace, the broader Singapore and APAC AI ecosystem. Kawa is built to interoperate with open regional language models such as SEA-LION from AI Singapore and MERaLiON from A*STAR, which developers can plug in as reasoning or dialogue layers in applications that depend on accurate transcription of regional speech.  

1 API refers to Application Programming Interface – a way for software systems to communicate with each other, allowing developers to access functionality or data without building it from scratch.

2 MIT licence is a widely-used open-source licence that allows anyone to use, modify, and distribute software with minimal restrictions, including for commercial purposes.

About Toku  

Headquartered in Singapore, Toku Ltd. (SGX Catalist: TKU) is a cloud-native, AI-powered customer experience platform purpose-built for enterprises operating in complex, multi-national environments.  

Trusted by leading enterprises and public-sector organisations, Toku helps organisations streamline operations, scale customer engagement and deliver consistent experiences in fragmented markets worldwide.  

For more information about Toku, visit toku.co    

About Makimoto  

Makimoto is Toku’s open-source initiative, operated through Makimoto Technology Pte Ltd, dedicated to building composable conversational AI infrastructure for Asia-Pacific. Its first release, Makimoto Kawa, is an MIT-licensed orchestration framework for production-grade transcription pipelines.  

For more information about Makimoto,  visit makimoto.ai  

Forward-Looking Statements  

This press release contains forward-looking statements regarding Toku’s expansion plans and business strategy. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Toku undertakes no obligation to update these statements to reflect subsequent events or circumstances.  

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SOURCE Toku

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