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Every enterprise deploying AI is making a bet on where their data infrastructure lives. Regulators, customers, and compliance teams now want clear answers about where data is stored and processed before they sign. Announced today at BoxWorks London: Box Zones expands to 10 regions worldwide: • 3 new Zones:...

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LayerAI AI Agent Manifesto is Live: The Path Forward 🧬 We've made it easy for ecosystem veterans & newcomers to get excited about the market & product opportunity we're tackling next: AI Agent Infrastructure. We're building an AI-powered agent platform where people can deploy, market, and succeed with this new token subcategory. At the heart of this transformation lies a challenge: primitive & so far limited tech & AI capabilities of incumbent platforms. We believe that LayerAI is equipped to rise as the new leading infrastructure provider for this market. LayerAI has already demonstrated market validation for AI Agents and looks to build on what we believe is the very start of this category in web3. 👉 Explore now:

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Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

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Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

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I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.
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I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

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I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.

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GenAI is slashing the cost of productivity, and presenting opportunities in every sector. Soon, the tasks below will be fully automated by AI. BUT, while AI is everywhere, the real application level breakthroughs have yet to be built 💡 Here’s a look at what's working today, a framework for AI's immediate impact in your business, and where new companies can emerge 🧵:

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We’re excited to announce that Kled has received a $1 million LOI from Superpower to help build the future of healthcare AI. Superpower Health, a $300M healthcare leader, has tasked Kled with unlocking one of the most valuable datasets in the world: how the world’s best doctors deliver care to their patients. Kled is building new healthcare integrations inside our app. Patients will be able to securely connect their healthcare portals and share anonymized chat history from conversations with their doctors. In return, they get paid. That data is then licensed to companies like Superpower Health to power next-generation healthcare AI, always with user consent and transparency. This supports Superpower’s mission to make the world’s best healthcare accessible to everyone. This is just the beginning. Healthcare is one of the most important uses of AI, and Kled is positioned to be at the center of it.

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At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡
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At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡

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Partnership Announcement Exabits x {QuillAI Network} : AI Compute Meets Autonomous Security The future of Web3 doesn’t just run on AI—it protects itself with it. Exabits and QuillAI Network are teaming up to push high-performance AI compute + adversarial AI security into the onchain economy. Who’s in the Room? Exabits → The Mothership of AI Compute: The Base Layer Everyone Builds On, scaling autonomous intelligence at the edge. QuillAI Network → AGI-grade security, where adversarial AI agents run trustless audits on smart contracts. What’s Happening? We’re cutting the friction between AI infrastructure and Web3 security. AI models need compute; smart contracts need protection. Now, they get both. Secure AI Compute: Exabits fuels QuillAI’s adversarial AI, giving security agents the firepower to scale autonomously. AI-Powered Defense: QuillAI safeguards Exabits’ compute layer, ensuring models run without vulnerabilities. Smarter Web3 Infrastructure: The merge of AI compute + security agents unlocks trustless AI governance, fortified DeFi stacks, and scalable digital ownership models. What’s Next? Web3 isn’t waiting. AI autonomy needs distributed compute + bulletproof security to thrive—and we’re delivering it. This partnership sets the foundation for AI systems that build, protect, and scale themselves. The new AI economy isn’t coming—it’s already here. Let’s move.

Exabits

97,079 Aufrufe • vor 1 Jahr

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$zkHive X $DONGO 🤝 We are excited to announce our partnership with Dongo AI ! Dongo AI is a platform designed to simplify and connect the expansive world of cryptocurrency for everyday users. Using their product users can research their preferred tokens and pose questions about the project, leveraging our AI's technology. We’re happy to announce that #zkHive is going to be one of the first projects to be integrated into Dongo’s upcoming platform launch. In addition #HiveBot will be integrated into Dongo’s community, and our security APIs will be used to secure the thousands of users of the Congo ecosystem! Thanks to the AI platform that DONGO is building, $ZKHIVE is going to protect thousands of new users! This is another great step by both parties to promote AI and security in the space!

zkHive

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🚀Just launched: Amazon Q, the most capable GenAI-powered assistant is generally available today: Customers are using Q to transform how their teams get work done. When employees chat with Amazon Q, it provides immediate, relevant information and advice to help streamline tasks, speedup decision-making, and help spark creativity and innovation at work. . Early indications signal Amazon Q could help our customers’ employees become more than 80% more productive at their jobs; and with the new features we’re planning on introducing in the future, we think this will only continue to grow. 🟠 Amazon Q Developer allows developers to spend more time coding and less time on maintenance and performing other tedious, repetitive tasks. Q assists developers and IT professionals (IT pros) with all of their tasks—from coding, testing, and upgrading applications, to troubleshooting, performing security scanning and fixes, and optimizing AWS resources. Q also comes with Q Developer Agents which can autonomously perform range of tasks and we expect it to be the state of the art accuracy in benchmarks like SWE-Bench. 🟠 Amazon Q Business empowers employees to be more data-driven, and helps customers make better, faster decisions using company knowledge and data. Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in enterprise systems 🟠 Amazon Q Apps, a new and powerful capability of Amazon Q Business, enables employees to use natural language to quickly and securely build their own generative AI applications to automate daily tasks without requiring any prior coding experience. Employees simply describe the type of app they want, in natural language, and Q Apps will quickly generate an app that accomplishes their desired task, helping them streamline and automate their daily work with ease and efficiency.

Swami Sivasubramanian

25,216 Aufrufe • vor 2 Jahren

🔥𝐓𝐇𝐄 𝐅𝐔𝐒𝐈𝐎𝐍 𝐎𝐅 𝐅𝐈𝐍𝐀𝐍𝐂𝐄, 𝐀𝐈 𝐀𝐍𝐃 𝐌𝐀𝐒𝐒𝐈𝐕𝐄 𝐒𝐂𝐀𝐋𝐄 🔥 Today marks a major milestone for AlphaTON Capital. AlphaTON Capital Files $420.69M Shelf Registration to Accelerate AI Infrastructure and Telegram Ecosystem Growth This capital strategy strengthens our ability to: 💎Scale AI infrastructure supporting Telegram Messenger's Cocoon AI network 💎Continue building the foundation for the next generation of decentralized AI and digital finance Read full announcement in 🧵 👉Our mission remains clear: To build the infrastructure that makes Telegram the only app you'll ever need. This is execution. This is momentum. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐀𝐥𝐩𝐡𝐚𝐓𝐎𝐍. NASDAQ: ATON 💎🚀🎯 ₿rittany Kaiser 💎 🚀 enzo villani Will De Ath Wes Levitt logan Jennifer de Broglie Anthony Scaramucci #Telegram #CocoonAI #AI #DEPIN #NVIDIA #AlphaTON CUDO Compute
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🔥𝐓𝐇𝐄 𝐅𝐔𝐒𝐈𝐎𝐍 𝐎𝐅 𝐅𝐈𝐍𝐀𝐍𝐂𝐄, 𝐀𝐈 𝐀𝐍𝐃 𝐌𝐀𝐒𝐒𝐈𝐕𝐄 𝐒𝐂𝐀𝐋𝐄 🔥 Today marks a major milestone for AlphaTON Capital. AlphaTON Capital Files $420.69M Shelf Registration to Accelerate AI Infrastructure and Telegram Ecosystem Growth This capital strategy strengthens our ability to: 💎Scale AI infrastructure supporting Telegram Messenger's Cocoon AI network 💎Continue building the foundation for the next generation of decentralized AI and digital finance Read full announcement in 🧵 👉Our mission remains clear: To build the infrastructure that makes Telegram the only app you'll ever need. This is execution. This is momentum. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐀𝐥𝐩𝐡𝐚𝐓𝐎𝐍. NASDAQ: ATON 💎🚀🎯 ₿rittany Kaiser 💎 🚀 enzo villani Will De Ath Wes Levitt logan Jennifer de Broglie Anthony Scaramucci #Telegram #CocoonAI #AI #DEPIN #NVIDIA #AlphaTON CUDO Compute

AlphaTON Capital 💎 🚀

38,028 Aufrufe • vor 8 Monaten

Apple just turned Siri into a wrapper. the most genius business move in AI this year. iOS 27 will lets us use claude, gemini, grok, perplexity, and more through Siri. install the app, toggle it on in settings. they spent years trying to make Siri compete. they couldn’t. so they turned the iPhone into an AI marketplace instead. every AI company now fights for a slot on 2.5 billion devices. Apple takes 30% of every subscription. no models to train. no data centers to build. no compute costs. just distribution. the middleman always win. the company that lost the AI race just figured out how to tax everyone lmao.
0:17

Apple just turned Siri into a wrapper. the most genius business move in AI this year. iOS 27 will lets us use claude, gemini, grok, perplexity, and more through Siri. install the app, toggle it on in settings. they spent years trying to make Siri compete. they couldn’t. so they turned the iPhone into an AI marketplace instead. every AI company now fights for a slot on 2.5 billion devices. Apple takes 30% of every subscription. no models to train. no data centers to build. no compute costs. just distribution. the middleman always win. the company that lost the AI race just figured out how to tax everyone lmao.

sui ☄️

1,220,524 Aufrufe • vor 4 Monaten

📣 AITECH Launches AI Agent TapHub: A New Era of AI-Gaming in Web3! AITECH introduces AI Agent TapHub, an AI-powered tap mini-game on Telegram, built on Spheroid Engine and TON. This innovative game merges AI Agents, blockchain, and gaming, offering new ways to play, create, and earn. Key Features: 🔹 Play to Earn – Win AI Agent Avatars and use them on Agent Forge to develop AI agents. 🔹 Trade & Sell – Convert in-game avatars into USDT for real-world value. 🔹 Revenue Sharing – Selected avatars will be developed into full AI agents, with players earning a share of the revenue. The upcoming AI Agents platform, Agent Forge, will allow anyone to create and monetize AI agents—no coding required. AI Agent TapHub is live now on Telegram. ➡️ Join now and bring your AI Agent to life:
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📣 AITECH Launches AI Agent TapHub: A New Era of AI-Gaming in Web3! AITECH introduces AI Agent TapHub, an AI-powered tap mini-game on Telegram, built on Spheroid Engine and TON. This innovative game merges AI Agents, blockchain, and gaming, offering new ways to play, create, and earn. Key Features: 🔹 Play to Earn – Win AI Agent Avatars and use them on Agent Forge to develop AI agents. 🔹 Trade & Sell – Convert in-game avatars into USDT for real-world value. 🔹 Revenue Sharing – Selected avatars will be developed into full AI agents, with players earning a share of the revenue. The upcoming AI Agents platform, Agent Forge, will allow anyone to create and monetize AI agents—no coding required. AI Agent TapHub is live now on Telegram. ➡️ Join now and bring your AI Agent to life:

AITECH CLOUD NETWORK

76,002 Aufrufe • vor 1 Jahr

Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:
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Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:

Box

251,013 Aufrufe • vor 5 Monaten

Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.
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Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.

Chris

60,278 Aufrufe • vor 4 Monaten

⚽️ Cutback Small Sided Game 🗣️ This is a practice from drill library. This small-sided game is played with 4v4 teams and 4 neutral players positioned at the 4 corners of the grid, known as the 'cutback' zones. The objective is to score 1 goal to win the game. After each goal, the losing team will switch with the neutral players, ensuring that both teams get equal opportunities in different roles. The neutral players are restricted to 1 touch, and the team in possession is encouraged to use them to create goal-scoring chances through quick cutbacks, crosses, or switching the play. The attacking team should aim to exploit the neutral zones to stretch the defense, pull defenders out of position, and open up space for a final delivery into the box. The defenders will need to be aware of their positioning and try to prevent passes into the neutral zones by maintaining close coverage on their opponents.
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⚽️ Cutback Small Sided Game 🗣️ This is a practice from drill library. This small-sided game is played with 4v4 teams and 4 neutral players positioned at the 4 corners of the grid, known as the 'cutback' zones. The objective is to score 1 goal to win the game. After each goal, the losing team will switch with the neutral players, ensuring that both teams get equal opportunities in different roles. The neutral players are restricted to 1 touch, and the team in possession is encouraged to use them to create goal-scoring chances through quick cutbacks, crosses, or switching the play. The attacking team should aim to exploit the neutral zones to stretch the defense, pull defenders out of position, and open up space for a final delivery into the box. The defenders will need to be aware of their positioning and try to prevent passes into the neutral zones by maintaining close coverage on their opponents.

The Coaches Zone

27,045 Aufrufe • vor 1 Jahr

📣 Solidus Ai Tech Data Center Secures 3-Year Global Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:
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📣 Solidus Ai Tech Data Center Secures 3-Year Global Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:

AITECH CLOUD NETWORK

79,371 Aufrufe • vor 1 Jahr

Almost every brand I’ve talked to has asked me about showing up in LLM answers. Here’s what matters most: 1. Mentions → Does AI actually bring up your brand? 2. Sentiment → When it does… is it positive or negative? 3. Citations → Are you being referenced as a source? You can win in traffic and still lose here. So what actually moves this? 1. Visibility across AI platforms (ChatGPT, Perplexity, Gemini, etc.) 2. Site structure that machines can understand (not just humans) 3. Content designed to answer questions (not just rank for keywords) 4. Trust signals across the internet (reviews, mentions, third-party validation) We’re early, but the data is already clear. AI-attributed commerce is growing fast, and this is only going to compound. You can treat this like SEO in 2012. Or you can get ahead of it now. We put everything we’re seeing into an AI visibility playbook for ecommerce brands. Worth a read if you care about how customers will find you next.
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Almost every brand I’ve talked to has asked me about showing up in LLM answers. Here’s what matters most: 1. Mentions → Does AI actually bring up your brand? 2. Sentiment → When it does… is it positive or negative? 3. Citations → Are you being referenced as a source? You can win in traffic and still lose here. So what actually moves this? 1. Visibility across AI platforms (ChatGPT, Perplexity, Gemini, etc.) 2. Site structure that machines can understand (not just humans) 3. Content designed to answer questions (not just rank for keywords) 4. Trust signals across the internet (reviews, mentions, third-party validation) We’re early, but the data is already clear. AI-attributed commerce is growing fast, and this is only going to compound. You can treat this like SEO in 2012. Or you can get ahead of it now. We put everything we’re seeing into an AI visibility playbook for ecommerce brands. Worth a read if you care about how customers will find you next.

Maxx Blank 🐳

812,417 Aufrufe • vor 3 Monaten