Últimas Noticias de IA
Why Did Stripe Spend $8 Billion to Capture AI Spending?
“Would you keep production traffic on a gateway owned by the company that also settles your revenue?”
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DN Solutions Opens First India Plant With ₹600 Crore Investment, Targets Physical AI Manufacturing
The Korean machine tool maker said that it has deployed its full Phase 1 investment in Bengaluru and plans to expand local manufacturing, supplier development and engineering talent.
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AIM Person of the Year: Sharad Sanghi for Scaling Neysa to Build India’s AI Future
After building Netmagic into one of India’s pioneering digital infrastructure companies, he is starting again—this time betting billions on the infrastructure that could power India’s AI future.
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AM Intelligence Orders 9,000 NVIDIA Rubin GPUs for Hyderabad AI Factory
The Hyderabad AI factory is the first tranche of AMI’s planned 1 GW of Compute-as-a-Service capacity across India, the US, Finland and Malaysia.
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Google Cloud Launches Gemini Enterprise for the Legal Industry
The platform connects with existing legal systems and uses AI agents for contract review, legal research, regulatory monitoring and document workflows.
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Wipro’s Upskilling AI Agent Crosses 7,500 Conversations With Employees
The tool draws on Wipro employee roles, skills, and past certifications to recommend relevant courses.
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OpenAI’s New Chip Beats NVIDIA; Gen 2 Nears Tape-Out in Months
“Jalapeño is also evidence of a broader full-stack advantage,” OpenAI said in the blog post.
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India's Pest Surveillance AI Has Reached National Scale, But Its Impact Is Unproven
Powered by tech from Plantix and Wadhwani AI, the National Pest Surveillance System (NPSS) is an AI platform that detects crop pests and supports farmers.
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Robotics startup Generalist reaches $3B valuation, sources say
Generalist, a robotics startup, is now valued at $3 billion after raising additional capital led by 8VC, according to two people with knowledge of the funding. The fresh capital totals nearly $200 million according to a regulatory filing. That additional capital is an extension of a $400 million Series B led by Radical Ventures that the company announced in June at a $2 billion valuation, the people said. The new capital brings the round’s total funding to $600 million. Generalist and 8VC didn’t respond to a request for comment. Generalist was founded in 2024 by former Google DeepMind researchers Pete Florence and Andy Zeng, along with former Boston Dynamics engineer Andrew Barry. It received early backing from 8VC and Radical Ventures as well as Nvidia, Union Square Ventures, Bezos Expeditions, and AI researcher Fei-Fei Li. Until recently, the startup operated quietly and with little publicity. Generalist is developing an AI foundation model that can work with various robots. It claims its newly released Gen 1.5 model enables robots to master new tasks from video demonstrations as short as 3 to 12 seconds long. The startup is working with a handful of customers, using their feedback to tailor the model for specific use cases, according to one source. Generalist isn’t alone in its pursuit of building a brain for a broad range of robots. Other competitors include Physical Intelligence, which is reportedly valued at $11 billion, and SoftBank-backed Skild AI, valued at $14 billion, as well as Genesis AI, which was in talks as of last month to raise capital at a $3 billion valuation. The funding surge reflects a bet from some investors that robotics may soon reach its own “ChatGPT moment,” meaning that robots will be able to perform general tasks without being explicitly trained for each one. However, because robots cannot be trained on the entirety of the internet’s data the way LLMs can, some VCs warn that a truly general robotics model may still be years away.
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India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call
More than76% of consumersin India prefer talking to businesses over a phone call, according to a recent study from Truecaller. Since voice is still consumers’ preferred way to communicate, that leaves a big opportunity to automate support and outreach calls using voice AI in the country. Voice AI startup Ringg, which already processes 20 million call attempts a month, is betting that volume keeps climbing over the coming months, and it just raised more money on that belief. The company said today it has landed $10 million from Peak XV Partners as an extension of its Series A. It had previouslyraised $5.5 millionin a Series A round earlier this year, bringing the round’s total to $15.5 million. Ringg started life as a text-to-speech startup called DesiVocal, but training its own speech models proved expensive, so the founders moved up the stack — building voice AI agents for enterprises instead. Indian fintech Cred became its first customer, and Ringg has since signed Indian startups like Flipkart, Practo, Groww, and PolicyBazaar. “At the start, we were doing high-volume, low-complexity use cases like outbound calling, lead qualification, loan collection, and more. We quickly realized these are not sticky use cases, and so it’s always going to be a price game,” the startup’s co-founder Siddharth Tripathi told TechCrunch. Ringg still serves some of those simpler use cases, but it has set its sights on more complex workflows: appointment booking for healthcare clinics, abandoned-cart recovery for e-commerce sites, and onboarding/KYC (“know your customer”) checks for fintech apps. Tripathi said Ringg’s voice agent now runs across 1,200 clinics for the healthcare app Practo, helping patients book visits or follow up on next steps post-visit. Voice calls still make up over 70% of Ringg’s business, but the startup has started branching into other channels, including chat and WhatsApp. For some clients like Shell, it’s also automating browser-based support requests. “We are trying to position ourselves as a platform for agents that bring outcomes or get things done rather than voice agents for enterprises,” Tripathi said. Most of Ringg’s customers are based in India, with a handful in the Middle East and the U.S. But the startup isn’t trying to sell directly to U.S. companies; instead, it wants to partner with so-called Global Capability Centers in India — the offshore hubs multinationals increasingly lean on for back-office and support work — to sell automation capacity alongside human support. Tripathi said the company builds its own speech recognition and generation models, and would eventually like to own the full voice stack, including infrastructure and deployment. For now, though, that remains too costly, so the product works as an orchestration layer, routing tasks to different models depending on the use case. Rishen Kapoor, a principal at Peak XV, said that because Ringg started as a research lab building its own models, that technical depth shows up in the complex use cases it’s now tackling. “Because of the technical capabilities, they can actually do these hard-won enterprise workflows end to end. They can complete these higher-value tasks like merchant onboarding, like L1 and L2 support, with quality and with consistency,” Kapoor told TechCrunch. Voice AI in India is a crowded field. Model makers includingDeepgram,ElevenLabs,Cartesia, and local players likeSarvamandSmallest.ai, are all jockeying for pole position. Orchestration-focused startups like Bolna and Blue Machines are chasing the same layer Ringg occupies, while sector-focused players like Gnani and Arrowhead concentrate heavily on finance. That layered stack — model makers, orchestrators, and application-layer players all trying to lock in enterprise workflows — is itself the story. The money and the defensibility increasingly sit with whoever owns the customer relationship and the outcome. Ringg currently has 40 employees, with more than 15 hired in the last three months. The startup is hiring for forward-deployed engineer roles that combine technical chops with product management skills, along with researchers focused on bringing down the cost of running its models.
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Shopify CEO Tobi Lütke Considers Banning Claude Code
“Insisting on only reading CLAUDE.md sometimes leads to split-brain problems when different team members use different tools.”
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OpenAI loses a top data center exec, as stream of high-profile departures continues
OpenAI has lost yet another executive, and the timing of this one stands out in particular given this individual oversaw the execution of the company’s data center strategy. Chris Malone, OpenAI’s former head of data centers, left the company last week, the Wall Street Journalhas reported. Malone, whospent nearly five yearsat Meta and more than a decade at Google before that, joined OpenAI in March of last year, making his tenure relatively short. Malone joined the company not long after the launch ofthe Stargate Project, a $500 million data center initiative championed by the Trump administration that has sought to develop data centers in the U.S. OpenAI, along with Oracle, Nvidia, SoftBank and Microsoft, is considered a key partner in the effort. Why is Malone leaving? It’s isn’t entirely clear. With the AI infrastructure buildout frenzy in full swing across the industry, data center strategy has become one of the most closely watched roles at any AI lab, which makes turnover in that seat especially surprising. In a statement to TechCrunch about Malone’s departure, OpenAI said it had “recently reorganized” its “infrastructure organization to support the scale and pace of our work.” It added: “We have a strong, deeply experienced data center team in place, with clear leadership and the technical expertise to execute our plans.” As part of that reorganization, per the WSJ, Malone stopped reporting directly to OpenAI President Greg Brockman and began reporting to OpenAI Vice President Sachin Katti, who took over leadership of the group. Several other executives are said to be currently overseeing OpenAI’s data center strategy, including Uday Ruddarraju, who leads the company’s data center team; Brent Mayo, who leads the data center build and delivery program; and Spas Lazarov, a veteran of the data center and energy industries, who leads all data center engineering. Whatever the reason for Malone’s departure, he isn’t alone. His exit adds to a string of more than a dozen executive departures this year. Business Insiderrecently talliedthe total 2026 departure count at 13, with several leaving in just the last month. And these aren’t junior employees walking out the door — they’re some of the company’s most senior seats. Two weeks ago, the company replaced its chief revenue officer, Denise Dresser, after Dresser had only been with the company for some eight months. Two days prior to Dresser’s announced departure, the companyalso lost Brad Lightcap, one of its longest-serving executives, who spent years as the company’s chief operating officer. Lightcap said he would be “starting something new” but hasn’t given details on what that new project entails. Approximately a month before those departures, the companyalso lost Fidji Simo, the company’s de facto second-in-command (Simo served as product and business chief and reported directly to CEO Sam Altman). She stepped down from her position to recover from a “chronic illness.” Simo remains with the company in an advisory role. OpenAI’s safety and ethics teams have seen notable departures, too. In July, the companylost its “head of ethics,”Chloé Bakalar, and, last week,it was reportedthat the company had disbanded its preparedness team, a unit dedicated to assessing whether the company’s AI models could result in catastrophic risks. Other team leaders,like Bill Peebles, the former head of OpenAI’s now defunct AI image generator Sora, have left because their projects were shut down. In April, the companyalso lostits chief marketing officer, Kate Rouch, who — like Simo — reportedly left for health reasons. The company’s remaining talent has tried hard to minimize the significance of the ongoing talent flight, with co-founder Greg Brockmanrecently lamentingthat the intense “spotlight” on his company means that “every departure gets scrutinized in a way that it doesn’t otherwise.” But the churn has naturally raised questions, especially as it preps for an IPO. OpenAI’s public listing,originally expectedthis year, is now reportedly pushed to 2027, and the company is undergoing a kind of reputational vetting that comes with any looming listing. Concerns have arisen that the companymay be overvaluedand thatits profitabilitydoesn’t match the gargantuan investments being made in the lab. Suffice it to say, the flood of outgoing executives certainly hasn’t quieted those doubts.
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