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Otter’s new feature lets users search across their enterprise tools

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AI meeting notetaker apps have realized that transcribing meetings and providing summaries alone is not enough to justify their business models and valuations. They now want to act as a full workspace where users bring in data from different sources, search across all of it, and make decisions about their business. Following notetakers like Read AI, Fireflies.ai, and Fathom, Otter is now launching enterprise search by acting as a Model Context Protocol (MCP) client. That means it can connect to and pull data from outside apps and services using a common standard that AI tools are rapidly adopting.

Otter has been around for nearly a decade now, but it has been making moves toward becoming an enterprise productivity tool in the last few months. Last October, the company launched a way for organizations to build custom MCPs to access Otter data outside the app. The company’s latest move is more about bringing outside data into the app.

With this launch, users can connect their Gmail, Google Drive, Notion, Jira, and Salesforce accounts and query that data along with existing meeting data. The company said that it will soon allow connections with Microsoft Outlook, Teams, SharePoint, and Slack. Users can not only search for data across these tools but can also push meeting summaries to Notion or draft a Gmail message.

The company said that it has also redesigned its AI assistant to be consistently present across the whole interface, so users can ask questions anytime. The assistant can understand the context of the screen, such as a particular meeting or a channel, and answer questions accordingly.

Meanwhile, most notetakers are following Granola’s lead and allowing for a botless meeting capture — recording meetings using a device’s system audio rather than having a bot join the call. Otter said that it brought this feature to the Mac app late last year, and is now launching a Windows app with a similar feature.

There has been a debate around meeting note-taking with bots (where a bot joins the meeting) or without bots. Otter CEO Sam Liang said that the company’s enterprise customers prefer when a meeting notetaker joins the call.

“When we talk to enterprise customers, most of them actually prefer the note taker that joins the Zoom meeting because it provides the transparency. They also prefer the meeting notes to be shared with all the meeting attendees, so that the note is not limited to one person,” he told TechCrunch over a call.

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Otter said that it has a deduplication feature that prevents a swarm of bots from joining a meeting simultaneously to avoid situations where there are more bots than humans on a call.

Last year, the company said it had 25 million users and $100 million in annual recurring revenue. While the company didn’t provide a new set of financials, it said that the platform now has 35 million users.

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PNOE’s new face mask wants to make lab-grade breath testing a self-serve affair

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At first glance, the newest device from PNOĒ looks like something a comic-book villain might wear. The mask, which covers the nose and mouth and straps around the back of the head, bears more than a passing resemblance to the one worn by Bane, Batman’s hulking nemesis. But its purpose is far more benign; it measures how much oxygen you consume and how much carbon dioxide you exhale, then turns that data into advice about how to eat, train, and, the company hopes, live longer.

PNOĒ, which is based in Malden, Massachusetts, and has operations in Athens, Greece, is preparing to launch the PNOĒ 2.0 on October 1. The big change from its current device is that users can administer the test themselves. According to co-founder and CEO Apostolos Atsalakis, someone can walk into a gym, “just wear the mask, push the button, sit down,” and breathe for eight minutes. “That’s it. It’s that easy,” he said recently, talking with this editor over a Zoom call from the company’s Athens location.

That matters because PNOĒ’s current device requires a trained operator, which limits where it can be used. A self-serve version could open the door to fitness centers without dedicated staff and potentially even pharmacies, Atsalakis said.

The science behind PNOĒ isn’t new. Metabolic testing, which analyzes the gases in a person’s breath to gauge how their body produces energy, has been around for more than a century. For decades, it has been the gold standard for measuring VO₂ max, the maximum amount of oxygen the body can use during exercise and a widely used measure of cardiorespiratory fitness. But the tests have traditionally required bulky, expensive equipment found mainly in sports labs and hospitals, which is why they’ve largely been the province of elite athletes and executive wellness programs.

What 10-year-old PNOĒ promises is the same accuracy in a portable package, paired with software that translates the results into recommendations. “We made it accessible to everyone,” Atsalakis said.

The company says its test captures 23 biomarkers, including (beyond measuring VO₂ max) one’s resting metabolic rate (how many calories the body burns at rest), and metabolic flexibility (how well the body switches between burning fat and carbohydrates). Atsalakis argues that these metrics answer questions that blood tests can’t, such as how many calories a person needs or how they should train.

The timing is good for PNOĒ. VO₂ max has become a buzzword among longevity enthusiasts, thanks in part to research linking higher cardiorespiratory fitness to lower mortality. Atsalakis calls VO₂ max the strongest predictor of human longevity, and he sees his company’s data as a kind of scorecard for the booming wellness industry.

The new device is smaller and more compact than its predecessor, with fewer parts, which Atsalakis said makes it more reliable. It was designed with Milan-based Design Group Italia over what Atsalakis described as “a lot, a lot, a lot of iterations,” since a self-administered metabolic testing device hadn’t been done before.

It also addresses a question that post-pandemic users are likely to ask: who wore it last? The answer: it doesn’t matter, as the electronics detach from the silicone mask and straps, so multiple people can share the costly hardware while each user keeps their own mask.

For all its clinical ambitions, PNOĒ is careful about what it claims. The device isn’t cleared by the U.S. Food and Drug Administration, and Atsalakis said that “we do not provide medical recommendations.” Instead, PNOĒ considers itself a wellness device. “It’s like a body composition device, like a scale,” he said. “A doctor cannot prescribe medication based on our results.”

That could change down the road. Researchers have long explored whether compounds in human breath can signal diseases such as cancer, and Atsalakis believes the company’s growing trove of data could eventually help it flag health issues. But he acknowledged that full diagnoses are “definitely a couple of years away,” with regulatory hurdles likely stretching that timeline further. “We’re not there yet,” he said.

PNOĒ traces its roots to Atsalakis’s PhD work in sensing technologies at the University of Cambridge, when wearables were taking off and he became fascinated by what the breath could reveal about the body. He co-founded the company with Panos Papadiamantis, a childhood friend who is now the company’s chief product officer.

The startup went through Y Combinator’s Winter 2019 batch, back when “longevity” was not yet the industry it is today. It has since raised about $22 million, including a recently closed $11 million round, from investors including 50 Years and Google Maps co-founder Lars Rasmussen, who is himself now based in Athens.

PNOĒ sells only to businesses, which then offer the test to their customers. Its clients include Equinox, where it’s available at almost all clubs, said Atsalakis, as well as Four Seasons hotels, Red Bull, the NBA, the Mount Sinai Health System, and the med spa chain Restore Hyper Wellness.

About 85% of its business comes from the U.S., which Atsalakis described as “by far the most advanced market globally” for longevity. The company is now expanding in Europe and, through partners, in Latin America and Asia.

Businesses pay a subscription ranging from $400 a month to more than $1,000, which covers the hardware, software, training, and marketing materials, a package Atsalakis calls a “business in a box.” PNOĒ also links its results to the services a business sells, so a gym or spa can recommend specific offerings based on a customer’s test. Many clients use the test during onboarding, Atsalakis said, positioning it somewhere between a full clinical workup and the estimates people get from their smartwatches.

That middle ground is increasingly crowded. Apple, Garmin, and Whoop all estimate VO₂ max from heart-rate data, while consumer devices like Lumen analyze breath to gauge fat and carb burning. At the high end, traditional metabolic carts remain the standard in labs and hospitals.

PNOĒ, which employs 110 people, says it recently turned profitable, while growing more than 100% a year. Atsalakis said the company plans to raise a Series B within the next six to 12 months as it tries to put its mask — Bane comparisons and all — in front of more faces.

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Google tests buying from Walmart-owned Flipkart through Gemini and AI Mode in India

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Google has started testing a way for shoppers in India to buy products from Walmart-owned Flipkart directly through Gemini and AI Mode, as the search giant looks to expand its AI services from product discovery into transactions.

Users in the test see a “Buy” button on select Flipkart product listings appearing in Gemini and Google’s AI Mode, which takes them directly to a Flipkart checkout flow without leaving the AI interface, according to people familiar with the matter and an experience seen by TechCrunch.

The early test is limited to some users and a small selection of products, including smartphones, electronics, and mobile accessories, the people told TechCrunch. Other users continue to see regular product listings from Flipkart in Gemini and AI Mode without the option to buy them directly from the AI interface.

Google plans to roll out the experience more broadly later in October, ahead of India’s festive shopping season, one of the people said.

The test comes as Google and rivals including OpenAI are adding commerce capabilities to their AI offerings, striving to move beyond answering shopping queries and recommending products to playing a more direct role in online purchases.

Asked about the Flipkart test, a Google spokesperson told TechCrunch the company is “always testing new features and experiences to help people discover and connect with businesses more easily.” The company regularly runs experiments and has no further details to share, the spokesperson added.

Google has separately been building technology aimed at making purchases possible through its AI services. Earlier this year, it introduced the Universal Commerce Protocol (UCP) as an open standard designed to let AI agents interact with retailers across the shopping journey, including checkout. Google said at the time that the technology would allow shoppers to buy eligible products through Gemini and AI Mode using a Google-hosted checkout experience. The company has since expanded UCP with other capabilities, including allowing shoppers to transfer items to a retailer’s site to complete a purchase.

The Flipkart test seen by TechCrunch appears different from the Google-hosted checkout experience the Gemini maker demonstrated earlier. It brings up a Flipkart-branded checkout flow when a user taps the Buy button. It is not clear what technology powers the test.

Earlier this month, Google said Flipkart was among the merchants partnering with it to bring what it calls “agentic” shopping experiences to consumers in India, but it had not disclosed details of the test or its rollout timeline.

Notably, Google has a financial relationship with Flipkart — alongside its technology partnership with the e-commerce company. It invested about $350 million in the e-commerce company in 2024 as part of a funding round led by the U.S. retailer, taking a minority stake.

India, the world’s second-largest internet market with more than a billion internet subscribers, sees Flipkart and Amazon compete fiercely for online shoppers. That competition intensifies further during the country’s festive season, when e-commerce companies roll out some of their biggest sales and promotions of the year.

For now, the Buy option is not appearing across all retailers surfaced by Google’s AI services. In the experience seen by TechCrunch, listings from rivals including Amazon appeared alongside Flipkart products but did not offer the option to purchase directly through the AI interface.

Flipkart did not immediately respond to an email requesting for comment.

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Insurers claim AI is already increasing healthcare costs

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Hospitals’ use of artificial intelligence tools as they submit insurance claims led to an additional $942 million in healthcare spending over a two-year period, according to an analysis by the Blue Cross Blue Shield Association.

The BCBSA analysis found “a sharp increase in patients being documented as having complex conditions,” but argued there is a “clear disconnect between [medical] coding and treatment,” as there’s “no evidence of corresponding change in care delivered.”

The New York Times pointed the analysis as just the latest sign that AI is contributing to an increase in healthcare costs. While battles between hospitals and insurers over treatments and payments are nothing new, the NYT said the use of AI on both sides seems to be making it worse.

Dr. Shiv Rao, founder of AI startup Abridge, acknowledged that the use of AI could lead to “a horrible dystopic future nobody wants to live in,” with “bots fighting bots, agents fighting agents.” But Rao said it might also reduce tensions and cut costs.

And the BCBSA’s senior vice president Luke Chalker resisted characterizing the situation as a battle, claiming, “It’s not a war. It’s a completely one-sided blood bath,” with insurers on the losing side.

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