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Robotic Automations

Poshmark’s ‘Promoted Closet’ tool lets sellers boost all their listings at once | TechCrunch


Poshmark, the social commerce site that lets people buy and sell new and used items to each other, launched a paid marketing tool on Thursday, giving sellers the ability to promote their entire shop at once. Poshmark’s new feature, called “Promoted Closet,” uses machine learning to automatically promote individual product listings from a seller’s entire […]

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Software Development in Sri Lanka

Robotic Automations

Boost your startup's growth with a ScaleUp package at TC Disrupt 2024 | TechCrunch


Hey there, Series A to B startups with $35 million or less in funding — we’ve got an exciting opportunity that’s tailor-made for your growth journey! If you’re looking to elevate your presence at TechCrunch Disrupt 2024 without breaking the bank, look no further than our ScaleUp Startups Exhibitor Program. Why should you consider ScaleUp […]

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


Software Development in Sri Lanka

Robotic Automations

Porsche invests in battery startup South 8 to boost cold-weather EV performance | TechCrunch


All cars suffer when the mercury drops, but electric vehicles suffer more than most as heaters draw more power and batteries charge more slowly as the liquid electrolyte inside thickens. Drivers in Chicago found this out the hard way last January after many Teslas failed to charge during a deep freeze. One startup, South 8 […]

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


Software Development in Sri Lanka

Robotic Automations

Atlan scores $105M for its data control plane, as LLMs boost importance of data | TechCrunch


For the founders of Atlan, a data governance startup, data has always been at the heart of what they do, even before they launched the company. In fact, co-founders Prukalpa Sankar and Varun Banka got their start building India’s national data platform called SocialCops. So it probably shouldn’t come as a surprise that they have developed a tool for controlling and collaborating around data, pulling together the myriad of data sources and bringing some control to the data chaos inside large organizations.

The company was founded in 2020, but the data problem has only grown in importance since then, and today, as companies try to get their data house in order to take advantage of generative AI, it’s even more paramount. Perhaps that’s why the company announced a $105 million investment on a healthy $750 million valuation on Wednesday. The startup seemingly finds itself in the right place at the right time, solving the right problem – and investors are looking to take advantage.

Atlan is built on the premise that there is an inherent complexity in every organization’s data ecosystem. Atlan’s goal is to bring order to it and help people understand that even though there are a variety of tools and data repositories, it’s possible to get a grip on the big picture.

“​​So what we do at Atlan is we scan your entire data ecosystem. We connect to Snowflake and Databricks, your BI tools, your AI LLM models and your source systems like Salesforce, and we create a single source of truth, essentially a map across your API ecosystem,” Sankar told TechCrunch.

The idea is to build a data fabric that helps people understand how data connects across an organization, and to make it easier to collaborate around data, search across it and fix problems, such as a number that won’t update in a BI dashboard, in an automated way.

Sankar says companies spend too much time trying to understand the data they have, while trying to make sure it’s being delivered to dashboards accurately and making it accessible to the employees who need it most.

The company is not getting this kind of money purely based on good timing, though. It grew ARR 7x in the last 2 years, 31x in the last 3 years – keeping in mind the company has only been around for 4 years. The startup also reports that it achieved an 80% win rate in competitive trials in 2023.

While they wouldn’t discuss the number of customers they have, customer wins include Nasdaq, HubSpot, Elastic, Dr. Martens and Porto Seguro, to name a few.

Atlan currently has 275 employees, with plans to expand given the newly found capital. Although Sankar wasn’t ready to commit to a specific number of new employees, she said they are hiring.

Today’s round was led by GIC and Meritech Capital along with existing investors Salesforce Ventures and PeakXV. Prior investors include Insight Partners and Waterbridge Ventures. The company has now raised a total of $206 million.


Software Development in Sri Lanka

Robotic Automations

Watch: Meta's new Llama 3 models give open-source AI a boost


New AI models from Meta are making waves in technology circles. The two new models, part of the Facebook parent company’s Llama line of artificial intelligence tools, are both open-source, helping them stand apart from competing offerings from OpenAI and other well-known names.

Meta’s new Llama models have differently sized underlying datasets, with the Llama 3 8B model featuring eight billion parameters, and the Llama 3 70B model some seventy billion parameters. The more parameters, the more powerful the model, but not every AI task needs the largest possible dataset.

The company’s new models, which were trained on 24,000 GPU clusters, perform well across benchmarks that Meta put them up against, besting some rivals’ models that were already in the market. What matters for those of us not competing to build and release the most capable, or largest AI models, what we care about is that they are still getting better with time. And work. And a lot of compute.

While Meta takes an open-source approach to AI work, its competitors are often prefer more closed-source work. OpenAI, despite its name and history, offers access to its models, but not their source code. There’s a healthy debate in the world of AI regarding which approach is better, for both speed of development and also safety. After all, some technologists — and some computing doomers, to be clear — are worried that AI tech is developing too fast and could prove dangerous to democracies and more.

For now, Meta is keeping the AI fires alight, offering a new challenge to its peers and rivals to best their latest. Hit play, and let’s talk about it!


Software Development in Sri Lanka

Robotic Automations

Uber Eats launches a TikTok-like video feed to boost discovery | TechCrunch


Uber Eats is launching a TikTok-like short-form video feed to boost discovery and help restaurants showcase their dishes. Uber Eats’ senior director of Product, Awaneesh Verma, told TechCrunch exclusively in an interview that the new feed is being tested in New York, San Francisco and Toronto. The company plans to launch the feed worldwide in the future.

With this launch, Uber Eats now joins numerous other popular apps that have launched their own short-form video feeds following TikTok’s rise in popularity, including Instagram, YouTube, Snapchat and Netflix to name a few. TechCrunch also recently learned that LinkedIn has started experimenting with its own TikTok-like feed.

The new Uber Eats short-form videos are visible in carousels placed across the app, including the homescreen. Once you click on a video preview, you will enter into a vertical feed of short-form content that you can swipe through. You will only see content from restaurants that are close enough to deliver to you.

Verma says the feed is designed to replicate the experience of being in a restaurant in person and seeing people preparing food and being inspired to try something new. As you swipe through the feed, you may come across a video of an ice cream shop preparing a Nutella milkshake, or a video of an Indian restaurant packing rice separately from curry so it doesn’t get soggy by the time it gets delivered to your house.

“The early data shows people are much more confident trying new dishes and trying things that they otherwise wouldn’t have,” Verma said. “Even little things like being able to see texture, and the details of what a portion size looks like, or what’s in a dish, has been really inspiring for our users.”

Image Credits: Uber Eats

Uber Eats notes that the videos aren’t ads, as the company isn’t charging merchants for the content placements.

Many restaurants run social media accounts on apps like Instagram and TikTok to reach new customers and showcase their food using short-form videos. By allowing merchants to share short-form videos directly in the Uber Eats app, the company is helping restaurants reach customers directly as they decide what to order. As for consumers, many people already use social media to discover new places and dishes to try, so Uber Eats likely hopes that its new feed will encourage users to try to find inspiration directly within its own app.

Some users might not see the launch as a welcome addition to the app, as they may feel overwhelmed by the sheer amount of different short-form video feeds in popular apps. While it may make sense to have short-form video feeds in entertainment and social media apps, the introduction of one in a food-delivery app may not be a favorable choice for some.

Verma also shared that in order to further support merchants, the company has revamped its Uber Eats Manager software and added personalized growth recommendations. The software is now capable of encouraging restaurants to grow their business by doing things like running a promotion on a certain dish or adding photos to menu listings.

In addition, the company is going to launch an entirely new app for restaurant managers this summer that is designed to make it easier for restaurants to be more proactive on the go. For instance, the app could alert a restaurant manager that their store is having issues or that they may want to boost sales with new ads.

Uber Eats announced on Monday that it now has more than 1 million merchants around the world on its platform, across 11,000 cities in six continents.


Software Development in Sri Lanka

Robotic Automations

SaaS entrepreneur Raisinghani's new AI venture nabs $5.5M to boost sales efficiency | TechCrunch


SiftHub, an AI startup founded by the former CTO and co-founder of LogiNext, Manisha Raisinghani, has raised $5.5 million in seed funding to build out its AI assistant, which is aimed at helping sales and presales teams focus more on building relationships and less on grunt work.

The company’s generative AI assistant is targeting the bulk of non-sales activity that sales personnel have to deal with, like entering data into CRM systems, filing requests for proposals (RFPs), researching customer info and building presentation decks. SiftHub integrates with sources of information like Google Drive, Slack, Zendesk, HubSpot and Salesforce, and sales and presales teams can simply talk to its AI assistant to complete infosec questionnaires, vendor assessment forms, and file RFPs and request for information (RFI) forms. The assistant is available through Slack and Microsoft Teams as a bot, as a Microsoft add-in, a Chrome plugin, and a web app, and has support for 10 languages, including Spanish and German.

“When salespeople are selling to businesses, they should be spending more time building relationships, which has a direct impact on the top line,” Raisinghani told TechCrunch. “When you don’t have to hire so many presales people to do the deep technical work for you, you’re saving time and that impacts your bottom line,” she told TechCrunch.

SiftHub’s AI assistant is built on open source large language models (LLMs) and is supported by retrieval augmented generation (RAG) technology, which uses additional data sources to fine-tune the quality of content generated by AI. Using RAG on top of LLMs helps SiftHub limit hallucinations — a common issue with generative AI, where the system generates incorrect or misleading results. The startup also uses cross-encoders to prevent its platform from picking the wrong information from a given knowledge base. Cross-encoders analyze two queries simultaneously, instead of looking at each separately, to deliver more accurate answers.

“We would rather not give an answer rather than give the wrong answer,” Raisinghani said. The founder added that SiftHub’s system might give 5% fewer answers, but she is confident that at least 75% of the AI’s responses will be correct.

SiftHub also uses a “smart search algorithm” that considers the recency of documents or knowledge sources to surface relevant recent information, Raisinghani said.

After spending over 10 years at LogiNext, Raisinghani saw the need for a solution like SiftHub when she was advising blockchain startup Polygon Labs in 2022 on its enterprise go-to-market strategy. She realized that finding information about Polygon was an arduous task because data was not available through a single channel, as it was stored across multiple platforms. Sales and presales people need a lot of info about their company and its business operations when they reach out to their potential customers. Finding that info through different sources, including the company’s Slack channels and other unorganized documentation, is a cumbersome task that can take a lot of time.

She then spoke with about 200 users to understand the problem statement better and categorize their responses into different use cases. All that eventually brought her focus to sales and presales teams.

“Sales teams have a shadow team — a presales team or solutions engineers — and they are usually the unsung heroes of the organization. They do a lot of the technical work, right from filing RFPs (request for proposals) to finding answers to customers’ questions,” she explained. “If you’re saving time for both sales and presales, salespeople will automatically be able to spend more time on relationship building.”

The market for AI startups focusing on sales and presales operations has gained traction in the past year since generative AI took off. Companies across the spectrum, from giants like Salesforce, Zoom and Google, to startups like Quilt, People.ai, and Darwin AI, have built GenAI-powered tools to let salespeople simplify a wide array of tasks like filing routine forms, generating drafts for emails, filling up CRMs with publicly available information on customers, generating copy, getting suggestions on which prospective customer is likely to buy or churn, and much more.

However, Raisinghani believes that SiftHub has a distinctive edge, as it sits deeper in customers’ business workflows and can solve the entire sales response problem — unlike a “wrapper around OpenAI or any other LLM.”

The startup is also banking on Raisinghani’s own experience in scaling startups and its team of 15, which includes some ex-entrepreneurs. “When you’re going to give at least 10 years of your life to something, you want to make sure that you are going to be excited and you truly believe in it for the next decade,” she said. The company is headquartered in the U.S. and has an R&D team in Mumbai, India.

The funding will be used to hire more people in product R&D, enhance the product, and help the company go to market. The seed round was co-led by Matrix Partners India and Blume Ventures, with participation from Neon Fund as well as executives and founders from Superhuman, Cloudflare, DevRev, Razorpay and SuperOps.

SiftHub is initially targeting B2B companies selling to mid-market and enterprise customers with revenues between $50 million and $500 million. The AI assistant is currently available to a small group of users for early feedback, and the startup is planning a “full-blown launch” later this year.

“Buyers have become smarter and engage sales later in the buying journey, with more advanced questions. As a result, the expectation from sales teams has changed — they need to know advanced product, technical, and legal information to get the win. Sales and presales teams lack the necessary tooling to handle this new selling environment. We are excited by SiftHub’s vision to use AI to manage product knowledge so that sales can focus on relationships,” said Pranay Desai, a partner at Matrix Partners India, in a prepared statement.

“SiftHub is Manisha’s second venture in the SaaS space. Armed with over a decade of entrepreneurial experience and an impressive track record, Manisha and her team are building a game-changing AI platform to transform the entire sales and presales process. We are excited to back the SiftHub team and be a part of their ambitious journey,” said Sanjay Nath, a partner at Blume Ventures.


Software Development in Sri Lanka

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