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Profound Raises $35 Million in Series B Funding
The new capital will accelerate Profound's agentic workflow features, expand its content generation capabilities, and support international expansion as brands seek to establish an AI presence across multiple markets and languages. Staff Writer 4 minutes ago Profound , the platform that helps businesses control how they appear in AI responses, has announced a $35 million Series B round led by Sequoia with continued participation from Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons. This brings Profound's total funding to $58.5 million. 'Profound's vision extends well beyond AI-powered SEO. The Profound platform has the potential to become the command centre that empowers businesses to stand out and succeed in the age of superintelligence,' said Alfred Lin, Partner at Sequoia. ChatGPT now has 700M weekly users, 4x since last year. More than 60% of consumers now start product research with AI assistants, not search engines. We're entering a 'zero-click world' where AI conversations become a consumer's first impression of your brand. Showing up in platforms like ChatGPT is the new board-level discussion. By 2026, every company, not just the Fortune 500, will need to control how AI interfaces with its brand. Eventually, agents won't just talk about your products but will purchase and even utilise them. ALSO READ: Profound Commerce Raises $53M To Acquire eCommerce Brands 'We're in the midst of the most significant shift in how consumers discover and research products since the dawn of the internet,' said James Cadwallader, Co-founder and CEO of Profound. 'AI assistants are becoming the new front door to every business. If you're not showing up in those conversations, you're invisible to billions of consumers.' Profound is a marketing platform built specifically for the AI-first internet. The platform delivers the complete workflow modern marketers need: Monitor: See how AI describes your brand with Answer Engine Insights, understand how agents crawl and interpret websites with Agent Analytics, and discover what the world is asking AI with Conversation Explorer. Create: Automatically generate AI-optimised content, built for bots, not humans. From comparison articles to social posts, Profound's Actions feature has already helped customers create thousands of pieces of targeted content that AI systems actively cite and recommend. Orchestrate: Deploy a fleet of ambient and interactive agents that give a single marketer the power of an entire agency. Lean teams can now launch comprehensive, AI-optimised marketing campaigns in minutes instead of months. ALSO READ: Profound Commerce Acquires FBA Capital Management Ecommerce Portfolio 'We're building a marketing platform for the age of superintelligence,' said Cadwallader. 'Today, Profound gives thousands of marketers the ability to understand and influence how AI systems talk about their products – all without requiring a huge team to do the work.' The new funding comes as enterprise demand has exploded, with Profound's customer base growing across multiple verticals, including Financial Services, B2B SaaS, CPG, Retail, and more. The new capital will accelerate Profound's agentic workflow features, expand its content generation capabilities, and support international expansion as brands seek to establish an AI presence across multiple markets and languages. 'Profound has established itself as the definitive platform for AI visibility and content optimisation. Their growth to date has been nothing short of remarkable,' said Anas Biad, Partner at Sequoia and Profound Board Member. 'As AI agents become the primary interface between consumers and brands, Profound provides the critical infrastructure every company will need to remain competitive.' 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Built on its Customer 360 platform, Salesforce's DXP ensures seamless integration with any solution in the Salesforce ecosystem. VISIT WEBSITE Oracle Cloud offers a comprehensive suite of platform-based marketing automation solutions for personalised B2B and B2C automation campaigns. Some of its featured products are Eloqua Marketing Automation, CrowdTwist Loyalty and Engagement, and Unity Customer Data Platform. VISIT WEBSITE Optimizely is a digital experience platform (DXP) provider that offers Optimizely One, an easy-to-use and fully integrated suite. It provides a single, unified workflow with thoughtfully embedded AI and machine-learning algorithms, accelerating work across the entire marketing lifecycle. VISIT WEBSITE OpenText offers a cloud-native, scalable platform for enterprises to streamline their marketing functions. It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences. VISIT WEBSITE Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale. VISIT WEBSITE Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases. VISIT WEBSITE Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market. VISIT WEBSITE Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle. VISIT WEBSITE HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals. VISIT WEBSITE Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales. VISIT WEBSITE Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics. VISIT WEBSITE Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage. VISIT WEBSITE Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio. VISIT WEBSITE
Time of India
03-06-2025
- Business
- Time of India
Little-known AI powerhouse rockets up Fortune 500 by 206 spots, surging faster than any other company this year
Amid a year of tech job cuts , volatile chip markets, and a rush to expand AI infrastructure , one lesser-known firm leapt the most on the Fortune 500 : Super Micro Computer , as per a report. Super Micro Computer Surges 206 Spots on Fortune 500 Amid AI Boom The IT hardware company based in San Jose rose 206 positions higher than any other firm on this year's Fortune 500 list to No. 292, reported Fortune. It doubled its revenue to $14.99 billion, a 110% gain from last year, and recorded $1.15 billion in earnings, the highest one-year profit growth among its industry, as per the report. Super Micro Computer's rise is mainly because of its strategic position at the intersection of AI, cloud computing , and data centre infrastructure, as these three areas are the fastest-growing areas in technology currently, according to Fortune. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Promoções imperdíveis de voos baratos Voos | Anúncios de Pesquisa Saiba Mais Undo ALSO READ: MAGA base erupts as Trump admin's Palantir-powered national citizen database sparks outrage and distrust CEO Charles Liang's Innovation-First Playbook The company's cofounder and CEO, Charles Liang, has revealed that the firm is focused on innovation, like early-to-market compatibility with Nvidia chips and customisable server hardware built to handle diverse, high-performance workloads, reported Fortune. Live Events Partnering with the Tech Giants According to the report, Super Micro Computer has close partnerships with Nvidia and Intel, which made it a preferred vendor for companies building AI-optimised infrastructures. Recently, the firm was even chosen by tech billionaire Elon Musk's xAI team to develop a 750,000-square-foot data centre in Memphis, reported Fortune. Scaling Up in the US and Going Green The company also has plans to grow its server production capacity in the United States as demand for AI has increased, as per the report. Super Micro Computer had also invested in green computing, branding its systems as energy-efficient alternatives in an industry which is under rising scrutiny for environmental impact, according to Fortune. While, a spokesperson for Super Micro Computer said, 'We are investing in people, processes, and systems to scale our foundation, advancing our leadership in liquid cooling technology, and delivering Data Center Building Block Solutions to achieve and surpass our revenue targets,' as quoted in the report. FAQs What is Super Micro Computer? A once lesser-known IT hardware company based in San Jose, now one of the fastest-growing names on the Fortune 500 due to its role in AI infrastructure, as per Fortune report. How is it connected to Nvidia? Super Micro has early integration with Nvidia's chips, allowing them to quickly deliver hardware that supports the latest AI technologies.
Malaysian Reserve
02-06-2025
- Business
- Malaysian Reserve
AI PULSE UNVEILS GDEPIN: THE WORLD'S FIRST DECENTRALISED GPU COMPUTE MODEL THAT POWERS AI
WASHINGTON, June 2, 2025 /PRNewswire/ — AI Pulse, the cutting-edge decentralised AI compute platform, officially announces the launch of GDePIN—a revolutionary new computing model that merges GPU (Graphics Processing Unit) power with DePIN (Decentralised Physical Infrastructure Networks). Developed through five years of deep R&D and strategic collaboration between blockchain and AI experts, GDePIN introduces a globally first-of-its-kind framework that allows anyone—from everyday smartphone users to enterprise GPU operators—to earn passive income by contributing their idle computing power to fuel the AI revolution. Solving the AI Compute Crisis with a Crowd-Powered Solution As global AI adoption accelerates, demand for high-performance compute power has surged—pushing GPU prices to historic highs and creating widespread supply shortages. Traditional cloud providers and centralised GPU farms are increasingly unable to meet this exploding demand. AI Pulse is addressing this problem head-on with a distributed, scalable, and user-powered alternative. 'GDePIN isn't just a technical innovation; it's a movement that redistributes the future of AI computing back into the hands of the people,' said Robert Julian Carl, the CEO of AI Pulse. 'We're democratising access to AI earnings and empowering communities worldwide to participate in building the AI infrastructure of tomorrow.' What Is GDePIN? GDePIN stands for GPU + DePIN, an industry-first model that transforms decentralised physical infrastructure into a high-throughput, AI-optimised computing grid. Each GDePIN unit leverages a dedicated Nvidia H100 GPU or a combination of consumer-grade computing resources, all coordinated through AI Pulse's proprietary supercomputing algorithm. This algorithm smartly balances workloads across thousands of distributed devices—whether high-performance servers, laptops, or even smartphones—enabling efficient, secure, and dynamic resource utilisation. At the same time, the platform's DePIN layer reclaims idle processing power from contributors and routes it into active AI workloads like model training, inference, scientific computing, and even cryptocurrency mining. How Contributors Earn: The GDePIN Ecosystem in Action GDePIN's incentive-driven architecture ensures that anyone with a device and an internet connection can become a contributor and start earning. Here's how it works: Connect & Contribute Users register on the AI Pulse platform and install a lightweight connector that links their device—be it a GPU server, laptop, or mobile phone—to the AI Pulse network. Smart Allocation of Tasks The platform's AI algorithm evaluates each device's specs and allocates suitable workloads automatically. High-performance devices may process AI model training, while smaller devices assist in auxiliary or paralleliable tasks. Fair Rewards & Blockchain Settlement Contributors earn tokens based on the volume, quality, and reliability of compute resources they provide. All transactions are executed transparently via blockchain smart contracts, ensuring real-time visibility, fairness, and auditability. Compounding Ecosystem Growth As more contributors join, AI Pulse's compute grid grows exponentially, enabling it to handle more commercial workloads. In turn, this generates more demand, more compute purchases, and more earnings for contributors. This win-win cycle ensures a stable and growing revenue stream for participants while making high-quality AI compute power more affordable and accessible to developers, researchers, and enterprises. Built in Washington D.C., Designed for the World AI Pulse is headquartered in Washington D.C., but its mission is global. The team behind the platform comprises blockchain pioneers and AI specialists with over five years of active development experience. The company has strategically positioned itself as the only provider of a fully functional blockchain-AI compute leasing solution, backed by proprietary GDePIN technology. Since 2020, AI Pulse has heavily invested in research, resulting in a robust, scalable platform that meets the practical needs of the AI industry without compromising decentralisation, efficiency, or economic inclusion. Join the AI Compute Revolution AI Pulse invites all device owners—from students with gaming laptops to tech professionals with server farms—to become part of the GDePIN ecosystem. By contributing your idle compute power, you not only earn passive income but also help accelerate the AI progress shaping our collective future. To register as a contributor or learn more, visit
France 24
02-05-2025
- Business
- France 24
Will artificial intelligence use all our electricity?
The city of Espoo lies 200 km west of Helsinki. The panorama around the city is what you might expect of Finland – evergreen forests, crisp lakes and ice thawing at the end of winter. But the skyline is about to be occupied by another kind of building: a data centre. Excavators and all sorts of machines rumble on in the background under the watchful eye of Alistair Speirs, Senior Director of Azure Global Infrastructure at Microsoft. 'A data centre is the home of the cloud. It's an industrial facility that holds thousands and thousands of servers. It's powering all the cloud services that we use for work, for home, gaming, streaming, financial services, education and even medicine,' he says, pointing at the construction site behind him. This future data centre campus aims to be one of the most innovative yet for the American tech giant. 'This data centre will be one of the most sustainable data centres in Europe,' the engineer explains. ' Excess heat that's generated from the data centre will go on to heat around 250,000 houses in the area.' It was this promise that made the project so attractive to local authorities, who have welcomed data centres on their soil. ' This data centre will be our main source of clean heating,' says Kai Mykkänen, mayor of Espoo and Finland's former Minister of Climate and the Environment. The vast, sparsely populated areas and long, cold winters make Finland an ideal location for these behemoths, which have to install energy- and water-hungry cooling mechanisms in warmer climates. What's more, the local electricity grid is well equipped. 'Finland has a huge amount of clean electricity. We've been able to scale up electricity production during the past ten years from non-fossil sources, better than in most areas in Europe. And we have a very strong national grid connection. So it was possible to find a location where there is a strong grid, enough electricity, and then also a need for this excess heat,' says the mayor. But these data centres are not so easy to host all over Europe. In Ireland, for example, in 2023, the country was forced to halt the construction of new centres in the Greater Dublin area. In one year, the existing data centres had consumed as much electricity as the whole country's urban housing. European startups join the race for energy Not all energy networks are adapted to such a high electricity demand. And it's not going to get any easier. In its latest report, dated 10 April 2025, the International Energy Agency (IEA) estimates that by 2030, data centre global electricity consumption will have doubled, and even quadrupled for AI-optimised data centres. So how can we cope with such a surge in demand, especially at a time when Europe has pledged to reduce its carbon emissions by half compared to 1990, to achieve its goal of being climate-neutral by 2050? For many tech companies, a lot of the energetic cost comes from developing and training AI models. Some European players are trying to optimise the resources they have to decrease the electricity bill. That's the case of Kyutai, a French AI research lab. In their Parisian office, facing Les Halles and the Bourse de Commerce, Kyutai developers work in open source: they make their research available so that others wanting to replicate their models can access it, use it, and avoid repeating the same processes of trial and error they went through. And that saves energy. 'Our aim with open source is to ensure that the cost of training is worth it, by reducing the cost of experimentation for other structures, whether they're start-ups or other competing labs,' says Alexandre Défossez, Chief Exploration Officer at the startup, tapping out lines of code on his computer. 'Some big American companies are focused on performance at all costs. Us European players, we have access to and use far fewer computing resources than the Americans. So that also forces us to be a bit clever about what we do,' he adds. Thirty-five nuclear power plants to cover our needs Engineer Marlène de Bank is focused on finding solutions to reconciling AI energy consumption with the climate transition. De Bank researches digital tech at The Shift Project, a French think tank working on decarbonising the economy. 'The demand for AI at European level is 35 gigawatts. 1 gigawatt is one nuclear power plant. So we're going to have to add the equivalent of 35 nuclear power stations. If it's something else, that means we'll have to add 35 times that equivalent. We also have to find it,' she explains. The think tank is currently drawing up a report assessing the impact of AI on the climate transition. At the moment, they are undecided as to whether AI is entirely good or bad for the environment. AI can help us do things like prevent natural disasters or manage waste, but it can also help optimise oil extraction. De Bank believes that a lot depends on what AI is used for. 'It's like a car. To travel one kilometre, you can choose to bike instead. So your carbon emissions at the end of the year depend on how many times you've driven and how many times you've cycled. For AI, it's going to depend on how often you use AI and how often you use your brain instead.'
Techday NZ
28-04-2025
- Business
- Techday NZ
Lenovo unveils AI-optimised storage for faster enterprise ROI
Lenovo has announced a significant expansion of its data storage portfolio with the release of new AI-optimised storage solutions aimed at supporting enterprise AI and data modernisation strategies. The new portfolio consists of 21 ThinkSystem and ThinkAgile models and is designed to assist organisations in addressing challenges related to AI deployment, virtualisation, and sustainability. The updates encompass storage arrays, software defined infrastructure, and new solutions intended to deliver improved efficiency, performance and scalability required by modern data centres. "The new Lenovo Data Storage Solutions help businesses harness AI's transformative power with a data-driven strategy that ensures scalability, interoperability, and tangible business outcomes powered by trusted infrastructure," said Scott Tease, Vice President and General Manager of Infrastructure Solutions Product Group at Lenovo. "The new solutions help customers achieve faster time to value no matter where they are on their IT modernisation journey with turnkey AI solutions that mitigate risk and simplify deployment." The range includes the introduction of AI Starter Kits for the Lenovo Hybrid AI Platform, pre-configured options designed to accelerate enterprise adoption of AI, notably for retrieval-augmented generation (RAG) workflows. Also launched is the ThinkAgile HX Series GPT-in-a-Box solution, equipped with Lenovo Neptune Liquid Cooling technology. Lenovo states that this is the industry's first liquid-cooled hyperconverged infrastructure (HCI) appliance, capable of providing up to 25% energy savings over previous generations. "This refresh is an imperative step in supporting local organisations achieve their AI ambitions. We know AI investment in ANZ is accelerating, growing fourfold in 2025, yet our CIO Playbook highlights that ROI remains a key barrier to AI adoption" said Sumir Bhatia, President, Asia Pacific Infrastructure Solutions Group, Lenovo. "We are assisting in speeding up ROI, particularly with our industry-first liquid-cooled HCI appliance, which will yield up to 25% energy savings over previous generations." Among the products launching as part of this portfolio refresh is the Lenovo ThinkAgile SDI V4 Series, which is described as a full-stack, turnkey solution intended to streamline IT infrastructure and facilitate computing for data-driven workloads, including AI large language models (LLMs) inferencing. The ThinkSystem Storage Arrays are also part of the release, with claims of offering up to three times faster performance and power consumption reductions, translating to up to 97% energy savings and 99% improvement in storage density over legacy hardware based on 10K HDDs. The converged ThinkAgile and ThinkSystem hybrid cloud and virtualisation solutions now allow for independent scaling of compute and storage capabilities, with Lenovo reporting potential software licensing cost reductions of up to 40% by enabling additional storage without incurring extra licensing charges. The ThinkAgile HX Series GPT-in-a-Box offerings, which use Neptune Liquid Cooling, are engineered to allow turnkey AI inferencing suitable for distributed applications across edge and cloud environments. The solution is positioned to reduce energy usage, which Lenovo states will increase return on investment and allow organisations to achieve data-driven outcomes faster. The AI Starter Kits for the Lenovo Hybrid AI Platform come as pre-configured packages combining compute, storage, GPUs, and networking components. These kits are intended to be scalable and adaptable to various organisational needs and to minimise the complexity involved with deploying enterprise AI services. Storage arrays configured with the AI Starter Kits support unified file, block, and object storage, leveraging SSD flash technology to accelerate time to insight from enterprise data. Bringing computation capabilities closer to the source of enterprise data is a growing requirement for AI model training and inference tasks. Lenovo's new ThinkAgile SDI V4 Series and ThinkSystem Storage Arrays are positioned as full-stack AI-ready infrastructure options for organisations at the start of their AI journey. Additionally, the new hybrid cloud and virtualisation solutions are designed to offer flexibility and operational simplicity. For virtualisation, the Lenovo ThinkAgile Converged Solution for VMware brings together features from the ThinkAgile VX Series and ThinkSystem DG Series storage arrays. The aim is to provide a unified hybrid cloud platform capable of supporting diverse storage workloads, facilitated by integrated lifecycle management and operational features. The new ThinkAgile V4 series now includes what Lenovo describes as the industry's first liquid-cooled HCI appliance, specifically targeting the efficiency challenges of high-powered AI workloads. The company asserts up to 25% energy savings when compared with the previous generation, and this hardware is positioned as a repeatable solution for swift AI integration. The security aspect of Lenovo's storage solutions includes features like Premier Enhanced Storage Support, which provides expert support and rapid response for IT teams. Additionally, the ThinkSystem DG and DM storage arrays have new AI-powered autonomous ransomware protection that employs machine learning to proactively identify and mitigate cyber threats. Lenovo Data Storage Solutions also include the company's XClarity systems management software, offering comprehensive security, management, encryption, and compliance features for storage management across enterprise environments.
