Business
Azadi for AI: How OpenxAI is Powering India’s Leap into Decentralized Artificial Intelligence

India PR Distribution
New Delhi [India], August 20: In a world increasingly shaped by artificial intelligence, a quiet revolution is underway–one that rejects surveillance, paywalls, and corporate gatekeeping in favor of freedom, fairness, and self-sovereignty. At the heart of this global uprising is OpenxAI, a decentralized AI infrastructure that empowers anyone, anywhere to build, launch, and own intelligent applications–without asking for permission.
While most AI platforms today are centralized, expensive, and designed for the Western world, OpenxAI is designed differently: it is permissionless, open-source, and powered by real-world decentralized infrastructure. With 80% cheaper compute and cloud services compared to AWS or Google Cloud, and a suite of free AI tools and apps, OpenxAI is unlocking access to AI for millions–especially in emerging markets like India.
Why India? Why Now?
India has over 6 million developers, a rapidly growing Web3 ecosystem, and one of the largest student populations in the world. Yet, the vast majority of AI startups and builders face enormous barriers. Today’s AI landscape–dominated by U.S.-based SaaS platforms and cloud giants–requires access to credit cards, high subscription fees, legal incorporation, and financial infrastructure. In short, it’s built for the few, not the many.
But OpenxAI changes the equation.
Thanks to blockchain and Web3, developers in India can now go from idea to income in minutes–not months. No need for a credit card processor. No need for a company registration. No need for a corporate bank account.
Instead of building a traditional SaaS stack:
– Use OpenxAI’s on-chain wrapper to accept payments.
– Use crypto wallets to receive revenue from global users in USDC and stablecoins.
– Use Web3 authentication to control access and protect your model IP–your server becomes unreadable and inaccessible to anyone but you.
This means any Indian developer–from a student in Jaipur to a solo founder in Hyderabad–can now launch their own AI app, chatbot, or agent and offer it globally. All from a laptop. All without intermediaries. All at a fraction of the cost.
The OpenxAI Global Accelerator: Powering the Next Generation of AI Startups
To nurture this new wave of builders, OpenxAI has launched the Global Accelerator, a first-of-its-kind program for decentralized AI startups. Participants get free infrastructure credits, ecosystem visibility, technical mentorship, and a pathway to funding–all while maintaining full control over their models, data, and app monetization.
Unlike other accelerators that tie startups to cloud vendor lock-ins or demand equity, OpenxAI’s approach is different: your models live on decentralized GPU nodes. Your ownership is tokenized. Your earnings are automatic. You retain the power.
And India is a core focus. Applications are open at accelerator.openxai.org, and the next generation of AI unicorns could emerge from Indian bedrooms, dorm rooms, or co-working spaces.
Hacknode India: A Launchpad for Builders
To spark this movement, OpenxAI is hosting Hacknode India, a 30-day online hackathon running throughout August. With a $5,000 prize pool, open participation, and a focus on AI x Web3, Hacknode India is a launchpad for indie devs, students, and startup founders.
The top 10 winning teams will be fast-tracked into the Global Accelerator–giving them global visibility, platform support, and a chance to scale their AI ideas without centralized gatekeepers.
Projects can include:
– LLM-powered bots and agents
– AI-powered decentralized apps
– On-chain prediction, analytics, or automation tools
– Any intelligent application deployed on the OpenxAI stack
This is more than a hackathon–it’s a signal to the world that India isn’t just consuming AI, it’s creating it.
A Break From the Old World
The reality is, most AI platforms today are still built on outdated assumptions: that you must be incorporated, that you must pay monthly to experiment, that you must follow data-sharing terms written in Silicon Valley boardrooms. OpenxAI is tearing those assumptions apart.
Here’s what makes it different:
– Decentralized Compute: All apps run on DePIN infrastructure. No reliance on AWS, Azure, or Google Cloud.
– Censorship Resistance: Once deployed, your AI model cannot be shut down by any company or regulator. Only the owner can control access.
– Tokenized Ownership: Your app is an on-chain asset. You earn from staking, royalties, and usage, transparently.
– No Legal Bloat: You don’t need a bank, company, or legal counsel to launch your AI business. All tools are built-in.
With OpenxAI, AI becomes a public good–not a gated SaaS product.
The Path Forward
India is not just a participant in the AI revolution. With tools like OpenxAI, it can become a global leader.
We believe AI is the new electricity. But electricity wasn’t meant to be owned by a handful of companies. It’s meant to flow freely–powering communities, builders, and innovators everywhere.
OpenxAI is making sure that’s true for artificial intelligence, too.
Join the movement.
Hacknode India is live at blockseblock.com from August 1-30, 2025. The future of AI isn’t gated–it’s open.
(ADVERTORIAL DISCLAIMER: The above press release has been provided by India PR Distribution. ANI will not be responsible in any way for the content of the same)
(This content is sourced from a syndicated feed and is published as received. The Tribune assumes no responsibility or liability for its accuracy, completeness, or content.)
Business
Business Matters: OpenAI and Meta say they’re fixing AI chatbots to better respond to teens in distress

Artificial intelligence chatbot makers OpenAI and Meta say they are adjusting how their chatbots respond to teenagers and other users asking questions about suicide or showing signs of mental and emotional distress. OpenAI, maker of ChatGPT, said Tuesday it is preparing to roll out new controls enabling parents to link their accounts to their teen’s account. Anne Gaviola has this story and more in Business Matters for Wednesday September 3, 2025
Business
HubSpot unveils blueprint to building hybrid human-AI teams with 200+ product updates at INBOUND 2025
While many businesses are experimenting with AI, most are still treating it like a side-project. At HubSpot, we believe the future belongs to businesses that build hybrid human-AI teams where smart people plus smart systems create exponential growth.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250903907062/en/

HubSpot announced their Fall 2025 Spotlight with over 200 product updates.
“We’re at a pivotal moment,” said Karen Ng, EVP of Product at HubSpot. “AI transformation is happening whether we’re ready or not. The question isn’t if AI will change your business—it’s whether you’ll lead that change or be left behind. The companies that win won’t be the ones with the most AI tools; they’ll have the smartest hybrid teams where AI doesn’t replace people, but multiplies their impact.”
At their Fall 2025 Spotlight , HubSpot unveiled exactly how to build those hybrid teams. The blueprint is simple:
1. Connect your data
○ Bringing together structured, unstructured, and external data is critical because hybrid teams are only as good as the data that powers them.
2. Enable your people
○ Embedded AI across HubSpot’s customer platform reduces busywork and allows humans to focus on strategy, creativity, and vision.
3. Build your AI team
○ A combination of assistants and agents will become digital teammates that work alongside humans to accelerate growth.
The products launched at the Fall 2025 Spotlight give GTM teams the tools they need to make their hybrid team a reality.
Connect your data
Most businesses are making 100% of their decisions with only 20% of the data.* The rest is scattered across systems, trapped in conversations, or just plain bad. The new Data Hub and powerful updates to HubSpot’s Smart CRM bring business data together—structured, unstructured, and external—to give GTM teams, and their AI, unified, clean, and complete context.
- Data Hub is a new hub** that brings together data from external sources and includes AI tools to connect, clean, and action data.
○ Data Studio uses AI to turn scattered context into unified data just by adding a column, powering smarter segmentation, automation, and reporting across HubSpot.
○ Data Quality is a new set of AI tools that automatically finds and fixes problems in customer data. No more manual clean-up.
- Updates to the Smart CRM, the context layer that provides the most complete view and understanding of the customer.
○ Flexible CRM Views allows for new data visualizations—boards, calendars, maps, or tables—so teams can view data however works for them.
○ Conversational and Intent Enrichment automatically enriches records with HubSpot’s proprietary data, unstructured data like calls, emails and support tickets, and intent signals like website visits.
○ Smart Insights surfaces the most important patterns and trends, delivering actionable recommendations without digging through reports.
Enable your people
Embedded AI features across HubSpot’s customer platform help humans focus on strategy, creativity, and closing deals. This is AI that’s built into the workflows teams already use. No context switching and no data gaps. Marketing, sales, and service teams get intelligence where they need it to help them grow.
○ Segments + Personalization unlock dynamic, AI-driven segmentation that grows with your business, with new powerful features for audience targeting that is truly personal.
○ In Marketing Studio, marketers can work with AI to generate a full set of campaign assets and optimize their campaign, all from a collaborative canvas.
○ AI-Powered Email uses your CRM data to create deeply personal messages for individual contacts for higher conversion.
○ AI Engine Optimization (AEO) Strategy helps optimize how your brand appears in LLM answers.
- CPQ (Configure-Price-Quote) in Commerce Hub
○ AI-powered Quote Creation drafts quotes automatically based on conversations and deal context, saving reps time and accelerating the deal closing process.
○ The new Closing Agent is available 24/7 to answer buyers’ product and pricing questions.
○ Quote Engagement notifies reps when a prospect views or shares a quote.
○ Flexible Approvals route quotes to the right people based on custom criteria.
○ The new Product Builder makes it easy to create everything from simple fixed-price items to complex, tiered structures and bundles.
Build your AI team
New Breeze Agents, Marketplace, and Studio give GTM teams everything they need to build, customize, and deploy AI teammates—all powered by unified data for complete business context that point solutions can’t offer.
- Over 15 Breeze Agents across marketing, sales, and service:
○ Data Agent is a new AI agent from HubSpot that researches and answers custom questions about customers like which prospects are using competitive products.
○ Customer Agent is your AI front office concierge that instantly answers questions, resolves issues, and turns conversations into opportunities.
○ Prospecting Agent is a 24/7 BDR that understands your business, monitors prospects for buying signals, researches target accounts, personalizes outreach, and engages at the perfect moment.
- Breeze Assistant is an AI companion that works alongside GTM teams. Now with web search, memory, file upload, and connections to your teams’ favorite apps like Google Workspace and Slack, Breeze Assistant gives employees an expert that knows their business.
○ Custom Assistants take that a step further by allowing you to create specialized experts for specific business needs.
- In the Breeze Marketplace, you can discover, browse, and install Agents and Custom Assistants.
○ Breeze Studio is where you manage and customize Agents and Custom Assistants to work for your specific business needs.
Today, HubSpot also announced a new HubSpot connector for Gemini.**** Now customers can bring their HubSpot context to Gemini to surface insights, and generate content to be actioned back in HubSpot.
- Marketers can ask: “Show me a list of contacts in the ‘lead’ lifecycle stage, and draft follow up notes that I can send in HubSpot.”
- Sales reps can ask: “Show me a list of deals, and draft follow up emails that I can send in HubSpot.”
- Support teams can ask: “Show me a list of companies, and recommend a follow up note that I can send in HubSpot.”
Visit the Fall 2025 Spotlight to learn more .
* Data Bricks, Get more value from unstructured data
**Data Hub replaces Operations Hub.
***HubSpot proprietary data
****Available in closed alpha now and available to all joint customers soon
View source version on businesswire.com: https://www.businesswire.com/news/home/20250903907062/en/
Business
How HubSpot Aims To Win In AI With Supercharged…

Marketing software maker HubSpot at its annual Inbound customer conference on Wednesday will launch new artificial intelligence tools and agents. As with many software companies, the revenue impact from generative AI remains to be seen for HubSpot as its platform strategy evolves. Meanwhile, HubSpot stock has been struggling.
Adding customer data management capabilities to its platform has been a focus of HubSpot. At Inbound, the company will unveil a new data hub and more goal-oriented AI agents directed at marketing, sales and customer service.
HubSpot’s AI strategy focuses in part on “context,” helping customers use proprietary business data in a controlled way to build AI agent apps. At Inbound, HubSpot also will highlight hybrid AI workforces. According to the Cambridge, Mass.-based firm, a hybrid human-AI team is only as good as the data that powers it.
Meanwhile, HubSpot’s AI pricing strategy has been evolving. Like many software makers, HubSpot includes AI tools and agents for free in per-seat licenses. In June, though, HubSpot began charging users of Customer Agent consumption-based fees based on credit usage.
Also, HubSpot recently released a “deep research” connector for OpenAI’s ChatGPT — a natural language tool that lets ChatGPT analyze customer data.
In an interview, Head of Product Karen Ng talked about the software maker’s strategy.
HubSpot Stock: Inbound AI News
IBD: What’s HubSpot’s AI message to customers at Inbound this year?
Ng: What we want to do is help our customers through the AI era and we believe in hybrid teams — humans and (AI) agents. And so we think of our product strategy that way: To create the best hybrid team requires (data) context. That’s why we’re investing so much in creating context. It requires giving people tools to help them unlock creativity and personal reach and it requires giving them a set of tools that help humans be supercharged with AI and agents.
IBD: On Wall Street there seems to be concern about per-seat business models if productivity gains lead to fewer employees.
Ng: Our philosophy stays really the same as it always has been, which is we’ll focus first on value before monetizing. So we focus on value in our agents before we move to monetizing it. Customer Agent is one of our flagship agents. It resolves over 50% of support tickets today. In June, we moved to monetizing that through (consumption) credits and work that is done. The more you use (Customer Agent), the more it helps resolve support tickets, the more value it adds.
So you can think of our pricing model right now as hybrid. We still have a seats model and those seats have different tiers, and then we have a credit consumption model on top of each of the seats.
IBD: Do you expect HubSpot to stick with a hybrid model or at some point lean more consumption-based?
Ng: We recognize that from a seats model perspective, you may change the number of seats you have as AI causes more productivity with teams. Our monetization is tied directly to the value we deliver, and so there’s really no ceiling there. One other thing I’ll add is that especially in the world of AI, the concept of user permissions and what an agent is allowed to see is incredibly important. Trust is kind of at the heart of our AI strategy.
We believe in a hybrid approach. There is something we call personal AI, and that is the ability to supercharge human work. It is an assistant that kind of helps and supercharges humans today. That Breeze assistant is included in every one of our seats. That assistant can do a lot of different kinds of work. So, for example, being able to create a workflow in a natural language. We are still exploring how we translate that as value when AI augments humans.
Connecting To ChatGPT
IBD: HubSpot recently announced “connectors” into ChatGPT as well as Claude. What does that accomplish?
Ng: ChatGPT itself has over 700 million users. That is nearly 10% of global humanity, and now HubSpot is kind of a default connector in ChatGPT for everyone available to use. However, it requires a seat, because we want to respect user permissions (to access data). As long as you have permissions to access (data), which is done through a seat (license), you can use the connectors. We’ve seen over 20,000 users connect to ChatGPT.
IBD: On Wall Street there also seems to be a feeling that OpenAI, Anthropic and other AI companies are going to emerge as competitors in the enterprise market against software incumbents. Do you see that happening?
Ng: I do not see them as direct competitors. I believe that as in every tech disruption, it’s possible that they will come into different spaces, and we see that even with the verticals that they do. But it is a platform and operating system shift more so than a direct competitor.
HubSpot Stock Analysis
Meanwhile, HubSpot stock has retreated 32% in 2025.
HubSpot’s IBD Composite Rating is 53 out of a best-possible 99, according to IBD Stock Checkup. The best stocks tend to have a Composite Rating of 90 or better.
In addition, HubSpot stock has an Accumulation/Distribution Rating of E. The rating analyzes price and volume changes in a stock over the past 13 weeks of trading. On an A+ to E scale, the rating measures institutional buying and selling in a stock. E means heavy selling.
Follow Reinhardt Krause on X, formerly Twitter, @reinhardtk_tech for updates on artificial intelligence, cybersecurity and cloud computing.
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