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Robotic Automations

India's BluSmart is testing its ride-hailing service in Dubai | TechCrunch


Indian ride-hailing startup BluSmart has started operating in Dubai, TechCrunch has exclusively learned and confirmed with its executive. The move to Dubai, which has been rumored for months, could help counter the likes of Careem, Uber and Hala in the United Arab Emirates’ most populous city. The Gurugram-based startup quietly enabled the new Dubai service […]

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Robotic Automations

Google takes aim at Android malware with an AI-powered live threat detection service | TechCrunch


Google is preparing to launch a new system to help address the problem of malware on Android. Its new live threat detection service leverages Google Play Protect’s on-device AI to analyze apps for malicious behavior. The service, announced following the Google I/O developer event on Tuesday, examines various signals related to an app’s use of […]

© 2024 TechCrunch. All rights reserved. For personal use only.


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Robotic Automations

Restaurant365 orders in $175M at a $1B+ valuation to supersize its food service software stack  | TechCrunch


The restaurant industry in the U.S. is expected to pass $1 trillion in sales for the first time this year, despite wider economic pressures on consumers. Now Restaurant365, a startup building tech to manage those businesses, has raised a hot round of $175 million to capitalize on that growth.  The funding is being led by […]

© 2024 TechCrunch. All rights reserved. For personal use only.


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Robotic Automations

How Y Combinator’s founder-matching service helped medical records AI startup Hona land $3M | TechCrunch


Y Combinator is renowned in Silicon Valley for a lot of reasons, but there’s one service that has quietly become one of its most powerful: an online founder-matching tool.

“I think this is the most valuable digital product that YC has built (i.e. more valuable than Bookface, etc,). It’s astonishing how many founders I meet who met each other on the YC co-founder matching platform,” tweeted seed investor Nikhil Basu Trivedi. (Bookface refers to YC’s famed online collection of how-to startup advice for its program participants.) 

Recent Y Combinator grad Hona is an example, although its founders’ meet-cute story is a bit more exciting than just using that tool.

Hona is a GenAI medical records startup. It integrates into multiple electronic records systems and then summarizes a patient’s medical records, helping doctors prep for the patient’s visit. 

It was initially founded by two friends who have known each other since middle school, Danielle Yoesep and Adam Steinle. They reconnected after graduating college and respective early careers in tech and biotech. Steinle had been a biomedical engineer, Goldman banker, and big tech product manager at Facebook. Yoesep was a scientist for a biotech startup that had just been acquired. They were hanging out with their high school friends while home for Thanksgiving, chatting about wanting to do a startup when the idea for Hona arose. While neither of them were doctors themselves, both had family members who were doctors or in healthcare and they soon settled on an idea: AI to assist doctors with patient data summaries.

They knew they needed an AI specialist co-founder, so signed up on the Y Combinator Co‑Founder Matching Platform. They found one in Shuying Zhang, who also knew she wanted to do a startup, something in healthcare and AI, and had signed up on the service. Zhang’s background combined biomedical engineering and software development, most recently working on AI at Google, and she was at Amazon prior to that.

What came next was a process that sounds a bit like Tinder for co-founders. 

Yoesep and Steinle swiped through profiles in the matching tool as did Zhang. Each of them held several meet-and-greets with potential co-founders. When Zhang met with Yoesep and Steinle, they instantly clicked so well, that the long-time friends offered Zhang a full one-third share of the company.

“We literally met each other and like three weeks later, we’re jobless, trying to build this,” Steinle told TechCrunch.

Having met on Y Combinator, with their backgrounds in tech, they were exactly the type of startup sure to be accepted into the competitive program. They immediately applied to YC for the Summer 2023 batch.

And they were promptly rejected.

So they got to work on their own, building a prototype, showing it to their network of doctors, earning solid reviews, and raising a small seed round. 

About four months later, they applied to YC again for the winter 2024 batch, and were accepted. One of the reasons they got in the second time, Yoesep recalled, was that they never changed directions, or never pivoted, to use the hackneyed Silicon Valley term. Another reason was “because of our dynamic during our interview, showing that we had grown close and enjoyed working together,” she said.

Things started cooking for them after that. Medical doctors at Duke and Harvard agreed to test the product and write a white paper, due to publish later this month. Some angels who were known in the tech and biotech worlds invested. And by the time Hona graduated from YC and did its famed Demo Day, it had already raised a $3 million seed round from General Catalyst (which is pursuing healthtech so seriously it bought a hospital system), Samsung, Rebel Fund (founded by Reddit co-founder Steve Huffman and Cruise co-founder Daniel Kan) and 1984 Ventures.

Hona still has a tough road ahead. AI for medical transcription is an increasingly crowded field. Big cloud providers like Google and Amazon are offering such tools and dozens of startups are tackling it, too

But Steinle says that Hona will compete because it’s “super customizable” to search through medical records for the specific data a particular doctor needs prior to seeing a patient. A cardiologist would get a different summary than a nephrologist. For instance, the upcoming white paper is on kidney stone referrals, so “so we’re pulling stuff like how many millimeters was the stone on the right here?” Steinle describes.

As for Zhang, her advice for others who dream of doing a startup, and are considering using YC’s matching tool, is to “just go out and try,” she says. “Once you start working with people, you will quickly have a good sense whether you get along. You will know right away.”




Software Development in Sri Lanka

Robotic Automations

Airbnb releases group booking features as it taps into AI for customer service | TechCrunch


Airbnb’s summer release is usually a grand affair with tons of updates for guests and a few for hosts. This time, however, the company is introducing just a few updates for group booking along with a new category called icons, which are experiences hosted by celebrated names in music, film, TV and sports.

Group booking features, which are probably the only update that will reach all users, allow people to create shared wishlists, a messages tab for the group with the host, and trip invitations for the group with details of the property.

Users can now invite friends or family to a wishlist through contacts on their phone or a link. Group members can add properties to a list, leave notes about a property, or vote on them to decide on the booking.

Image Credits: Airbnb

After the primary member books the property, they have to invite people to travel with them again on the trip with a postcard. The invitation card also has details like address, check-in instructions, and Wi-Fi passwords.

Airbnb is also introducing a new message tab where all travelers can chat with the host and react to messages. Hosts can use AI-powered suggestions to reply to questions, such as sending the guests the property’s checkout guide.

Image Credits: Airbnb

Nathan Blecharczyk, Airbnb’s co-founder and chief strategy officer, said that the company built group features as more than 80% of trips on the platform involve more than one person. Plus, there is a lot of back and forth between the group members in terms of taking decisions.

Apart from group features, Airbnb is releasing a new earnings dashboard for hosts with better insights and an experience category called Icons, which features properties like the X-Men mansion, the Ferrari museum, Prince’s Purple Rain House, and living room sessions with Doja Cat. These experiences will be available for a short time, and users will need to apply for them to get in. Airbnb is planning to accept 4,000 people across 11 experiences.

Using AI on Airbnb

Last November, in a conversation with TechCrunch, Airbnb CEO Brian Chesky mentioned that the company is testing generative AI-powered review summaries. While Airbnb hasn’t made public announcements in this area, Blecharczyk told TechCrunch that the platform plans to use AI in multiple areas, including customer support.

“We are increasingly using AI to streamline our customer support to make sure that customers are routed to the right agents or to have tickets automatically resolved with AI-generated responses,” Blecharczyk said.

The Airbnb co-founder noted that AI-powered responses are applicable only to certain scenarios, and the company has been testing them in limited production.

“I think there is a lot of potential for applying AI to the business. We think a lot about how AI is going to change the experience at the consumer layer over time,” Blecharczyk said without sharing specifics of the company’s roadmap.

“We have a lot of reviews, and we sit on top of a lot of customer service data. So we are thinking about how we can use AI to succinctly give a better picture of a listing and its information.”

In November 2023, Airbnb acquired a stealth startup called Gameplanner, which was launched by Siri co-founder Adam Cheyer. Earlier this year, Chesky mentioned that the Gameplanner acquisition was part of the travel platform’s plan to create an “ultimate concierge.” Using AI-powered replies to solve customer queries is probably the first step toward that.


Software Development in Sri Lanka

Robotic Automations

Parloa, a conversational AI platform for customer service, raises $66M | TechCrunch


Conversational AI platform Parloa has nabbed $66 million in a Series B round of funding, a year after the German startup raised $21 million from a swathe of European investors to propel its international growth.

The company is focusing on the U.S. market in particular, where Parloa opened a New York office last year — it says this hub helped it sign up “several Fortune 200 companies” in the region. For its latest instalment, Parloa has secured Altimeter Capital as lead backer, a U.S.-based VC firm notable for its previous investments in the likes of Uber, Airbnb, Snowflake, Twilio, and HubSpot.

AI and automation in customer service is nothing new, but with a new wave of large language models (LLMs) and generative AI infrastructure, truly smart “conversational” AI (i.e. not dumb chatbots) is again firmly in investors’ focus. Established players continue to raise substantial sums, such as Kore.ai which closed a chunky $150 million round of funding a few months ago from big-name backers such as Nvidia. Elsewhere, entrepreneur and former Salesforce CEO Bret Taylor launched a new customer experience platform called Sierra, built around the concept of “AI agents,” with north of $100 million in VC backing.

Parloa is well-positioned to capitalize on the “AI with everything” hype that has hit fever pitch these past couple of years, as companies seek new ways to improve efficiency through automation.

Founded out of Germany in 2018, Parloa has already secured high-profile customers such as European insurance giant Swiss Life and sporting goods retailer Decathlon, which use the Parloa platform to automate customer communications including emails and instant messaging.

However, “voice” is where co-founder and CEO Malte Kosub reckons Parloa stands out.

“Our strategy has always been centered around ‘voice first,’ the most critical and impactful facet of the customer experience,” Kosub told TechCrunch over email. “As a result, Parloa’s AI-based voice conversations sound more human than any other solution.”

Parloa platform Image Credits: Parloa

Co-founder and CTO Stefan Ostwald says that AI has been a core part of Parloa’s DNA since its inception six years ago, using a mix of proprietary and open source LLMs to train models for speech-to-text use-cases.

“We’ve trained a variety of speech-to-text models on phone audio quality and customer service use cases, developed a custom telephony infrastructure to minimize latency — a key challenge in voice automation — and a proprietary LLM agent framework for customer service,” he said.

Prior to now, Parloa had raised around $25 million, the bulk of which arrived via its Series A round last year. And with another $66 million in the bank, it’s well-financed to double down on both its European and U.S. growth, with Kosub noting that it has tripled its revenue in each of the past three years.

“We successfully entered the U.S. market in 2023 — we’ve always had confidence in the excellence and competitiveness of our product, however the overwhelming and rapid success it achieved in the U.S. surpassed everyone’s expectations,” Kosub said.

Aside form lead investor Altimeter, Parloa’s Series B round included cash injections from EQT Ventures, Newion, Senovo, Mosaic Ventures and La Familia Growth. Today’s funding brings Parloa’s total capital raised to-date to $98 million, following its $21 million Series A funding round led by EQT Ventures in 2023.


Software Development in Sri Lanka

Robotic Automations

Cape dials up $61M from a16z and more for mobile service that doesn't use personal data | TechCrunch


AT&T’s recent mega customer data breach — 74 million accounts affected — laid bare how much data carriers have on their users, and also that the data is there for the hacking. On Thursday, a startup called Cape — based out of  Washington, D.C., and founded by a former executive from Palantir — is announcing $61 million in funding to build what it claims will be a much more secure approach: It won’t be able to leak your name, address, Social Security number or location because it never asks for these in the first place.

“You can’t leak or sell what you don’t have,” according to the company’s website. “We ask for the minimal amount of personal information and store sensitive credentials locally on your device, not on our network. That’s privacy by design.”

The funding is notable in part because Cape’s appeal to users is not yet proven. The company only came out of stealth four months ago, and it has yet to launch a commercial service for consumers. That’s due to come in June, CEO and founder John Doyle said in an interview. It has one pilot project in operation, deploying some of its tech with the U.S. government, securing communications on Guam.

The $61 million it announced Thursday is an aggregation across three rounds: a seed and Series A of $21 million (raised when it was still in stealth mode as a company called Private Tech) and a Series B of $40 million. The latest round is being co-led by A-Star and a16z, with XYZ Ventures, ex/ante, Costanoa Ventures, Point72 Ventures, Forward Deployed VC and Karman Ventures also participating. Cape is not disclosing its valuation.

Doyle attracted that investor attention in part because his past roles have included nearly nine years of working for Palantir as the head of its national security business. Prior to that, he was a special forces sergeant in the U.S. Army.

Those jobs exposed him to users (like government departments) who treated the security of personal information and privacy around data usage as essential. But, more entrepreneurially, they also got him thinking about consumers.

With the big focus that data privacy and security have today in the public consciousness — typically because of the many bad-news stories we hear about data breaches, the encroaching activities of social networks, and many questions about national security and digital networks — there is a clear opportunity to build tools like these for ordinary people, too, even if it feels like that might be impossible these days.

“It’s actually one of the reasons I started the company,” he told TechCrunch. “It feels like the problem is too big, right? It feels like our data is already out already out there and all these different ways and there’s really nothing to be done about it. We’ve all adopted a learned helplessness around the ability to be connected, but  have some sort of private, some sort of control over our own data, but that’s not necessarily true.”

Cape’s first efforts will be focused on providing eSIMs to users, which Doyle said would be sold essentially on a prepaid format to avoid the data that a contract might entail. Cape on Thursday also announced a partnership with UScellular, which itself provides an MNVO covering 12 cellular networks; Doyle said that Cape is talking with other telcos, too. Initially, it’s unlikely to bundle that eSIM with any mobile devices, although that also is not off the table for the future, Doyle said. Nor will the company provide encryption services around apps, voice calls and mobile data, at least not initially.

“We’re not focused on securing the content of communications. There’s a whole host of app-based solutions out there, apps out there like Proton Mail and Signal, and WhatsApp and other encrypted messaging platforms that do a good job, to varying degrees, depending on who you trust for securing the contents of your communications,” he said. “We are focused on your location and your identity data, in particular, as it relates to connecting to commercial cellular infrastructure, which is a related but separate set of problems.”

Cape’s not the only company in the market that is trying (or has tried, past-tense) to address privacy in the mobile sphere, but none of them has really made a mark so far. In Europe, recent efforts include the MVNO Murena, the OS maker Jolla, and the hardware company Punkt. Those that have come and gone include the Privacy Phone (FreedomPop) and Blackphone (from Geeksphone and Silent Circle).

There’s already the option to buy a prepaid SIM in the U.S. anonymously, but Cape points out that this has other trade-offs and isn’t as secure as what Cape is building. Although payments for this might be anonymous, a user’s data is still routed through the network infrastructure of the underlying carrier, making a user’s movements and usage observable. You can also still be open to SIM swap attacks and spam.

For a16z, the investment is becoming a part of the firm’s “American Dynamism” effort, which this week got a $600 million boost from the latest $7.2 billion in funds that the VC raised.

“Cape’s technology is an answer to long-standing, critical vulnerabilities in today’s telecom infrastructure that impacts everything from homeland security to consumer privacy,” said Katherine Boyle, general partner at a16z, in a statement. “The team is the first to apply this caliber of R&D muscle to rethinking legacy telecom networks, and are well placed to reshape the way mobile carriers think about their subscribers — as customers instead of products.”


Software Development in Sri Lanka

Robotic Automations

AWS unveils new service for cloud-based rendering projects | TechCrunch


On Tuesday Amazon launched a new service called Deadline Cloud that lets customers set up, deploy and scale up graphics and visual effects rendering pipelines on AWS cloud infrastructure. The new service, which is geared toward the media and entertainment industry, was timed for the National Association of Broadcasters conference in Las Vegas that kicks off later this month.

Using Deadline Cloud, customers in media and entertainment as well as architecture and engineering can use AWS compute to render content for TV shows, movies, ads, video games and digital blueprints, said AWS GM of creative tools Antony Passemard.

In other words, AWS is betting on increasing demand for tools that help media, entertainment and other execs navigate the ins and outs of cloud-based rendering.

“We’re at a tipping point in the industry where demand for rendering quality VFX and the amount of content created using generative AI are outpacing customers’ [compute] capacity,” Passemard added in a blog post. “AWS Deadline Cloud meets any customer’s rendering requirements by providing a scalable render farm without having to manage the underlying infrastructure.”

A startup wizard in Deadline Cloud walks customers through the process of setting up a render farm, including providing the size and duration of their projects to determine instance type and configuring permissions. Deadline Cloud then provisions Amazon Elastic Compute Cloud instances and manages the network and compute infrastructure. And — for customers with on-premises compute — Deadline Cloud integrates with this compute and uses it to execute rendering jobs.

Deadline Cloud’s dashboard provides a view to analyze logs, preview in-progress render jobs and review and control costs. With Deadline Cloud, customers can link their own third-party software licenses with the service or leverage usage-based licensing for rendering with existing rendering tools (e.g., Autodesk Maya, Foundry Nuke, and SideFX Houdini) and engines.

“[With Deadline Cloud,] creative teams can embrace the velocity of content pipelines and respond quickly to opportunities to accept more projects, while meeting tight deadlines and delivering high-quality content,” Passemard continued.

Deadline Cloud is now available in the U.S. East (Ohio, North Virginia), U.S. West (Oregon), Asia Pacific (Singapore, Sydney, Tokyo), and Europe (Frankfurt, Ireland) AWS server regions.

Cloud-based rendering is nothing new. Back in 2015, Google made a splash in the space with the acquisition of Zync, whose technology has since been used to launch Google Cloud–powered visual effects tooling in partnership with Sony’s animation studio, Sony Pictures Imageworks. Elsewhere, platforms like Arch and Chaos Cloud have provided on-demand cloud-based VFX infrastructure for years.

But the COVID-19 pandemic accelerated VFX workloads’ move to the cloud as the cost of maintaining hardware — and the space to store it — increased while work simultaneously dwindled, the result of work-from-home mandates and health-related shutdowns of productions. As Passemard alluded to, the rise of generative AI has fueled the demand for rendering hardware, too, and has led to the creation of entirely new cloud-based, GPU-accelerated providers.


Software Development in Sri Lanka

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