Zip has raised $190 million in new funding, valuing the AI software startup at $2.2 billion. The funding round was led by Bond Venture Partners, with participation from DST Global, Y Combinator, and CRV. Zip's technology streamlines procurement processes for businesses, replacing manual tasks and simplifying approvals. The company plans to use the funds for engineering, research and development, and expansion in Europe, the Middle East, and Asia. Zip's clients include Snowflake, OpenAI, Reddit, Inc., and Databricks. The funding reflects a broader recovery in enterprise software investment, driven by AI advancements. Read more: https://lnkd.in/gjwVfD4e #ai #artificialintelligence #aistartup #aifunding
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DataObservabilityRevolution: Definity's Milestone Move Definity, a startup with a vision to revolutionize data application observability, has successfully emerged from stealth with a $4.5M seed funding round. This initiative aims to tackle the complexities of managing modern data pipelines by offering enterprises the tools to observe, fix, and optimize data in motion. Unlike many competitors, Definity doesn't wait for data to settle before analysis; it actively monitors data during its transformation phase, particularly within Apache Spark environments. With seasoned founders from tech giants like PayPal, the company is poised to address pressing data quality issues that can disrupt business operations. Notably, the funding was led by StageOne Ventures, emphasizing the growing demand for innovative solutions in data management. As more businesses lean on data-driven insights, could this be the tool enterprises have been waiting for? #Definity #DataManagement #ApacheSpark #StageOneVentures #DataQuality #TechFunding #Saasverse
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Exciting news from Lume (YC W23)! 🚀 They’ve just raised $4.2M in Seed funding to revolutionize data mapping with AI. Lume’s platform is a game-changer, enabling customers—from enterprises to startups—to map, clean, and validate data in minutes instead of days. Whether it’s ingesting customer data, normalizing API responses, or mapping taxonomies, Lume’s AI-driven platform makes it seamless and reusable, eliminating the need for extensive custom code. A huge shoutout to the team for building a tool that simplifies complex mappings across structured and flat data formats. This milestone was achieved with the support of General Catalyst, Khosla Ventures, Y Combinator, Floodgate, and amazing angels from companies like Predibase and Opendoor. Congratulations, Robert Ross, Nebyou Zewde, and Nicolas Machado, on this incredible achievement! 🎉 #AI #DataMapping #Startups #Innovation
Lume (YC W23) has raised $4.2 million in Seed funding to automate data mapping with AI. Lume helps customers easily map, clean, and validate data at any step of their workflow. Customers ranging from enterprises to startups use Lume to accelerate data mapping from days to minutes, whether it’s ingesting customer data, mapping taxonomies, or normalizing API responses to internal schemas. Lume’s AI is purpose-built to tackle complex mappings from structured data such as JSON and relational databases, as well as flat data like CSVs. Its AI-powered platform generates reusable, auditable mapping logic for tasks like intricate field mapping, complex conditional business logic, and taxonomy mapping—allowing companies to map customer or internal data without extensive custom code and maintenance. This round was led by General Catalyst, with participation from Khosla Ventures, Y Combinator, Floodgate, and angels from Predibase, Opendoor, Orrick, and more. Congrats on the round, Robert Ross, Nebyou Zewde, and Nicolas Machado! https://lnkd.in/gPtBSFAa
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Data ops just got its wake-up call. Matia just locked down a fresh $10.5M seed round, backed by the heavy hitters at Leaders Fund, with Secret Chord Ventures, Cerca Partners, and Caffeinated Capital jumping on board. Props to co-founders Benjamin Segal and Geva Segal—these guys saw the mess data teams were wading through and came with the broom. We’re talking about a unified data platform that finally does it all: ingestion, observability, reverse ETL, and cataloging. Streamlined, sleek, and aiming to cut those gnarly data costs by up to 40%. If you’re a CFO, take notes. Here’s the kicker: data isn’t just the lifeblood of business anymore. With AI speeding ahead, it’s now the pulse of strategy, and Matia’s positioned to sync every beat. Early adopters like Ramp and Obligo already felt the pull, and ten more companies are practically banging down the door to get a piece. Why? Because Matia’s doing something everyone else only talks about—bringing every part of data ops under one roof and doing it in a way that’s about to turn fragmented workflows into a relic of the past. This isn’t just a product—it’s a shift. As the world of data grows more complex, Matia’s got the playbook for simplicity and control. Watch out, because the old guard’s siloed systems are about to look ancient. Matia’s not here to compete; they’re here to redefine. #Data #DataOps #ETL #Observability #AI #Workflows #Technology #Innovation #TechEcosystem #StartupEcosystem #VentureCapital #StartupFunding #DataOps #startups
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AIAccountingStartup #FundingRoundSuccess #Numeric, the AI accounting software startup, has successfully raised $28 million in its Series A funding round. This fresh capital injection, led by Menlo Ventures and supported by investors like IVP and Socii Capital, marks a significant milestone for the company, officially known as Velocity Labs Inc. The previous seed round saw $10 million raised just five months earlier. Numeric's platform tackles the time-consuming and error-prone task of financial data reconciliation by utilizing AI to streamline month-end workflows and real-time financial monitoring. Impressively, Numeric's annual recurring revenue has grown fourfold over the past year, attracting high-profile clients like OpenAI and Brex Inc. This investment not only highlights the growing demand for AI-driven financial solutions but also positions Numeric as a frontrunner alongside competitors such as Blackline Inc. and FloQast Inc. #Numeric #AI #AccountingInnovation #MenloVentures #Saasverse What are your thoughts on the impact of AI in streamlining financial operations?
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French startup Poolside nears $3B valuation for AI that can write code Paris-based AI startup Poolside is in discussions to raise nearly $500mn at a $3bn valuation for its large language model, which can write software code. The company has yet to launch its first product. It is currently training its LLM to improve by completing millions of tasks in tens of thousands of real world software projects. Bain Capital Ventures, an existing investor in Poolside, is in talks to lead the latest investment round. Poolside was founded in April 2023 by Jason Warner and Eiso Kant, former CTO at Microsoft-owned GitHub, and moved its HQ from the US to Paris following a $126mn seed round. URL : https://poolside.ai/ #Poolside #AIStartup #AIInnovation #TechNews #CodingAI #LLM #StartupFunding #TechInvestments #ParisTech #AIResearch #FutureOfAI #SoftwareDevelopment #TechIndustry #BainCapital #MachineLearning #TechValuation #ArtificialIntelligence #StartupNews #TechUpdates #VCFunding
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Bloomberg just broke the news that OpenAI is now looking at a $150B valuation in their fundraising. Given the short-term hit that companies like Microsoft, NVIDIA, and Apple have taken around their #AI initiatives, it is breathtaking how far they are pushing OpenAI. This includes $6.5B in equity and $5B in debt from banks. As company shareholders, one has to ask, "How do you make a financial return at these heady levels?" What do you think? #management #venturecapital #privateequity #capitalmarkets #aifinancing
OpenAI Fundraising Set to Vault Startup’s Value to $150 Billion
bloomberg.com
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🚀 𝗔𝗻𝗮 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝘀 𝘁𝗼 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗲 𝗶𝘁𝘀 𝗽𝗿𝗼𝘄𝗲𝘀𝘀 𝗼𝗳 𝗔𝗜 𝗮𝘀 𝗮 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 🚀 Ana scored an impressive score of 𝟭𝟯.𝟮𝟯 (.63 less than Devin by Cognition Labs) on the SWE-Bench. This milestone achievement shows that Ana is gaining ground in AI-powered software development. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲: - 𝗔𝗻𝗮'𝘀 𝘀𝘁𝗿𝗼𝗻𝗴 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 demonstrates the incredible potential of AI to tackle real-world coding challenges. - This competitive landscape 𝗳𝘂𝗲𝗹𝘀 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 across the board, pushing the boundaries of what's possible. We're just getting started! Ana's learning and development trajectory is steep, and we're confident it will continue to excel. Want to be part of this exciting journey? 𝗖͟𝗵͟𝗲͟𝗰͟𝗸͟ ͟𝗼͟𝘂͟𝘁͟:͟ 𝗔𝗻𝗮'𝘀 𝗦𝗪𝗘-𝗕𝗲𝗻𝗰𝗵 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗽𝗼𝗿𝘁: https://openana.ai/report/ Watch this video where Ana fine-tunes Mistral AI's 7B Model Autonomously: https://lnkd.in/gB_huZbc Visit our website: https://openana.ai Sequoia Capital Andreessen Horowitz Khosla Ventures Greylock Kleiner Perkins Accel Index Ventures New Enterprise Associates (NEA) GGV-Going Global Ventures FirstRound General Catalyst Lightspeed Tiger Global Management Lightspeed TechCrunch #ArtificialIntelligence #SoftwareEngineering #Innovation #Technology #FutureOfWork #AIDevelopment #TechNews #AIASE #openai #openana
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A relative deep-dive from a media perspective into the funding of Anthropic. What's wrong with this type of financing from my perspective: 1) The original financing for both OpenAI and Anthropic were reported to be for altruistic purposes. Neither had anywhere near as much as we do (product, systems) at KYield for their first rounds of financing, and ironically our KOS is far more altruistic. What they did have were scientists with demonstrated knowledge on how to build, run, and improve LLMs, and they had massive ambition. 2) However, they didn't have a sustainable business or even plan as far as I can tell, and still don't. Moreover, the data they train on is owned by others and subject to very high legal and regulatory risk. 3) The science involved with LLMs has inherent flaws for accuracy, safety, and security. 4) Most of the funds are from vendors in the form of products and services, which should have a much lower valuation for other investors as the contribution is not the same value as cash. For example, a cloud service provider has pretty good margins -- particularly for elastic computing resources that are unused, so rather than pumping up the valuations they should actually be heavily discounted. 5) There is nothing necessarily wrong with vendors investing in customers as long as it isn't for exclusive use like the OpenAI/MSFT relationship, which has serious market power implications when involving big tech, hence the antitrust investigations. If MSFT wouldn't have done the deal otherwise the deal shouldn't have been done. Bottom line is these financings and valuations were crafted less by market forces than the principals and partners, and not much at all as far as I can tell regarding the risk or sustainability of the technology employed and/or the businesses. These deals are not at all what 95% of what VCs and CVCs claim to be seeking as investments.
Inside the Funding Frenzy at Anthropic, One of A.I.’s Hottest Start-Ups
https://www.nytimes.com
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𝑨 𝒏𝒊𝒄𝒆 𝒘𝒂𝒚 𝒕𝒐 𝒔𝒖𝒑𝒑𝒐𝒓𝒕 𝒚𝒐𝒖𝒓 𝒆𝒄𝒐𝒔𝒚𝒔𝒕𝒆𝒎 𝒊𝒔 𝒕𝒐 𝒊𝒏𝒗𝒆𝒔𝒕 𝒊𝒏 𝒕𝒉𝒆 𝒍𝒆𝒂𝒅𝒆𝒓𝒔𝒉𝒊𝒑 𝒐𝒇 𝒚𝒐𝒖𝒓 𝒄𝒍𝒊𝒆𝒏𝒕 𝒄𝒐𝒎𝒑𝒂𝒏𝒊𝒆𝒔. Databricks is precisely doing the same thing through its strategic investment arm - Databricks Ventures. It has now launched the new Databricks AI Fund to further this initiative. More details: https://lnkd.in/gniVpUzP #Databricks #DatabricksVentures #DatabricksAIFund #DatabricksDataIntelligencePlatform #Ecosystem
Introducing the Databricks AI Fund
databricks.com
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The newest issue of The Deep Hub and INNOV-8 newsletter is out, and it's packed with cool stuff! 💡 🔍 What's Inside? How to Scale GraphRAG with Neo4j for Efficient Document Querying, The Overview Of Apache Spark and more… Bonus! Just by signing up for the newsletter, you'll get the inside scoop on upcoming events, online talks, and ways to connect with other tech enthusiasts. 📩 Join the Crew! Don't miss out! Sign up for the newsletter and get the latest tech updates delivered right to your inbox. Click here to join the fun: https://lnkd.in/gi3MnuEf We can't wait to share all our awesome tech finds with you! Let's keep learning, working together, and making the future even more amazing! #TechInnovation #Newsletter #AI #Startups #DigitalTransformation #Collaboration #INNOV8 #DeepHub
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