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Latest AI News
Navana.ai Launches Bodhi TTS at 60% Lower Price Than Sarvam
Bodhi TTS offers sub-100ms response times, instant voice cloning and fine-grained pronunciation control for enterprise voice applications.
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Anthropic Claude Opus 5.5 Unveiled With Faster Performance, Lower Cost Compared to Claude Opus 5
Anthropic has introduced Claude Opus 5.5 as the first model in its new Claude 5.5 family. The company says the new model delivers a similar level of performance compared to its high-end Claude Fable 5.1 model on most work and it requiring significantly less compute than its predecessor. Claude Opus 5.5 is claimed to operate at up to 2.5 times the speed in fast mode. Anthropic says it requires substantially fewer tokens to complete complex tasks and leads in, Claude Opus 5.5 leads in agentic coding, computer use, and knowledge work on Anthropic's internal tests.
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Nvidia Launches Isaac ROS 5.0 With AI Agents and Reusable Robotics Workflows
Nvidia has released Isaac ROS 5.0, the latest version of its open-source software platform for robotics development. The update brings AI-agent capabilities to the ROS ecosystem, giving developers reusable workflows and tools to build, customise and deploy robot applications. The release is designed to simplify some of the more complex stages of robotics development while continuing to support Nvidia's accelerated computing hardware. It also updates the platform with support for the latest versions of ROS and Ubuntu.
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Ema raises $77M as AI starts eating into enterprise software and services
Ema, a startup that uses teams of AI agents to automate corporate processes across HR, IT, and finance, has raised $77 million in a new funding round as it aims to take on more of the work traditionally handled by enterprise software and IT services. The Series B round was led by Bengaluru-based venture firm Creaegis, with existing investors Accel, Section 32, and Prosus increasing their stakes. The financing brings the startup’s total funding to $140 million and more than quadruples its valuation from its last funding round in 2024. (Ema declined to disclose its latest valuation.) The round consisted entirely of primary equity, with no debt or secondary transactions, the startup confirmed to TechCrunch. The funding comes as AI is beginning to compete for dollars that businesses have traditionally spent on enterprise software and IT services. Startups, major AI labs, and established software companies are now fighting to capture that spending. Founded in 2023by former Google and Coinbase executive Surojit Chatterjee and ex-Okta executive Souvik Sen, Ema is looking to expand its position in that market. The startup deploys its technology, which it calls “AI employees” — systems that coordinate multiple AI agents. These help carry out multi-step business processes across a company’s existing applications, rather than handling a single task at a time. Chatterjee sees that model eventually reducing companies’ reliance on traditional software products, including those sold as software-as-a-service (SaaS). Ema first “wraps” around an enterprise’s existing applications, he said, before customers can reduce their dependence on some of those products — and, in some cases, replace them altogether. “Many of our customers are already on the way to replace [large SaaS applications] completely, removing dependency on them, because they are mostly becoming like a database,” Chatterjee said. In recent months, major AI companies have also pushed deeper into the enterprise market where Ema operates.Anthropichas expanded efforts to bring Claude into companies’ core operations, includingfinancialandlegalwork. Similarly,OpenAIhasestablished teams of forward-deployed engineerswho work alongside customers to put AI into production. Chatterjee, however, does not see the frontier AI labs as direct competitors. He told TechCrunch that Ema’s software can draw on more than 150 models, including frontier and open-source models, while the startup focuses on the domain knowledge, integrations, and orchestration needed to automate business processes end-to-end. “Progress in frontier models is actually very beneficial to us,” Chatterjee stated. Ema’s approach is already gaining traction. The startup has more than 50 active enterprise deals, as well as over 1 million active enterprise users, and has handled more than 5 million actions and queries. Its customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft. Over the past two years, Ema said its revenue has grown 50-fold, while revenue bookings have surpassed $150 million. Chatterjee said the bookings figure includes the total value of multiyear contracts, including two- and three-year deals, rather than representing annual recurring revenue. He, however, declined to disclose the startup’s current annualized revenue run rate. Chatterjee told TechCrunch that more than 90% of Ema’s customers have expanded beyond their initial use case, with some deploying the technology across dozens of workflows. The startup’s net dollar retention rate is around 180%, he said, meaning existing customers are spending substantially more with Ema over time. Ema is also looking beyond the software itself. AI, Chatterjee said, can take over some of the implementation, integration, and consulting work that companies have traditionally paid IT services firms to perform around enterprise software. “A lot of the services companies are working with us,” Chatterjee said. “They are also dramatically changing or disrupting their own business models because they understand the human-forward model may not be the best model going forward.” Despite taking on work traditionally handled by software and services providers, Chatterjee said Ema has maintained gross margins of close to 80%. The startup, he noted, requires less human support as its AI systems learn from deployments, helping improve margins over time. Ema also does not charge customers based on software seats or the number of AI tokens they consume. Instead, Chatterjee said, its pricing is tied to the completion of tasks and business outcomes. Much of Ema’s new capital will go toward expanding its go-to-market operations, particularly sales and marketing, after spending its first years largely building the product, Chatterjee said. The Mountain View-headquartered startup has grown to nearly 200 employees and has its offices in Bengaluru, London, and Vancouver. Ema has so far focused primarily on customers in the U.S. and Europe. However, it now plans to expand into new markets over the next year, particularly across Asia-Pacific, South America, and parts of the Middle East.
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Spotify’s is giving you the keys to its recommendation algorithm with US launch of ‘Taste Profile’
Spotify is giving listeners a new tool to shape the recommendations it delivers to their app’s Home feed. The music streaming giant on Wednesday began rolling out a feature called “Taste Profile” to its Premium subscribers in the U.S. that allows users to see, for the first time, how Spotify understands their taste across music and other audio. Users can request changes using natural language commands to fine-tune their recommendations, or make broader changes. Powered by Spotify’s AI, Taste Profile was firstunveiledin March at the SXSW conference in Austin by Spotify co-CEO Gustav Söderström. However, the feature was initially available in beta only to listeners based in New Zealand. Now, the feature is arriving in Spotify’slargestmarket intermsof traffic and revenue, where it will be put to a larger test among listeners ages 18 and up. In some ways, Taste Profile essentially gives you the keys to Spotify’s algorithm. It is how the streaming platform chooses what music and podcasts to suggest, including in its flagship Discover Weekly playlist, its Made for You recommendations, and the highly anticipated annual review known as Spotify Wrapped. Though Spotify’s algorithmic understanding of a listener’s habits is largely credited as the secret to its success, those recommendations don’t always reflect users’ evolving tastes. The platform often ends up recommending too-similar music when a user would rather branch out. Now, by editing their Taste Profile directly, Spotify users can request more variety or ask for more or less of a certain genre, artist, or overall vibe. The feature could be used to remove recommendations based on music that users may regularly stream, but not necessarily care to see more of — for instance, sleep sounds played at night, or whatever music a teenager plays while in the car on their parent’s account. Until now, Spotify has offered some options to remove music from your Taste Profile, but they only let you exclude certaintracksorplaylists. More recently, the company added a much-requested toggle switch that wouldprevent kids’ music from impactingtheir parents’ recommendations. To access Taste Profiles on the mobile app, first tap on your profile pic, then scroll down and select Taste Profile. From here, you’ll be able to explore how Spotify currently understands your taste across music, podcasts, and audiobooks. Under “Tell us more,” you’ll then enter what you’d like to adjust and send the message. After a few hours, your app’s Home Page will reflect a different set of suggestions. Spotify says the feature can be used when you want to explore a new genre or era, but aren’t sure where to start, or if you want to adjust the vibe of the music — like if you want more energizing tracks. You can also tell Spotify what sort of podcasts and audiobook you want to better shape those recommendations. The feature is still in beta. The company didn’t offer a timeline as to when it would reach a wider audience.
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Sol Emerges From Stealth With $4 Mn Haul to Build AI Assistant for Email Management
The startup says its assistant proactively identifies email commitments and automates the process of researching, documenting, and drafting replies.
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Microsoft Offers Copilot Discounts of Up to 50% as It Prepares AI Super App: Report
The reported discounts target large enterprise customers as Microsoft shifts Copilot toward usage-based billing and prepares a unified application for coding and AI agents.
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Brahma AI Raises $150 Mn in Preferred Share Funding Led by Multiples
Brahma AI, which counts Warner Bros, NBA, and Mayo Clinic among its customers, plans to use the capital to expand R&D, global operations, and AI-powered content applications.
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India’s GCCs Face AI Shift as Nearly 70% Remain Stuck at Pilot Stage: Report
By 2030, Indian GCCs are reportedly set to become engines of agentic transformation.
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AI Doesn’t Just Process Your Data. It Can Create New Data About You
AI systems are creating new personal-data inferences from information users already share, raising fresh questions around privacy, age verification, access controls and accountability as enterprises scale AI adoption.
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MeitY Shortlists CoRover, Kyndryl for Agentic AI Platform: Report
MeitY has shortlisted CoRover and Kyndryl Solutions to develop a reusable agentic AI platform for government services, with DigiLocker set to become its first use case.
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How This GCC Is Using an AI Cost Cap to Rein In Token Spend
Fidelity International is making AI costs visible to employees before applications are deployed.
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