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The surge was driven by large funds leading supergiant rounds in capital-intensive businesses in areas such as artificialintelligence, datacenters and energy. The second-largest sector, healthcare and biotech, raised around $5.6 OpenAI raised the largest round last month, a $6.6
Earlier this week, life sciences venture firm Dimension Capital announced it had raised a new $500 million second fund just two years after its first to hunt for startups that are using artificialintelligence to develop new medicines. Venture funding to AI-related biotech and healthcare startups hit only $4.8
startups raised half a billion dollars apiece, and another eight raised $100 million or more, with industries from cybersecurity to biotech to AI represented. The company is a so-called “neocloud” — a datacenter firm providing outsourced cloud computing for those looking to build AI. billion valuation in the process.
Biotech- and healthcare-related startups led the way as those companies dominate the list, taking a vast majority of spots. billion to develop datacenters in Spain. In 2023, it partnered with Digital Realty to develop $7 billion in datacenters targeting providers of online content, cloud services and artificialintelligence.
OpenAI , $6.6B, artificialintelligence: OpenAI announced its long-awaited raise of $6.6 The company is a so-called “neocloud” — a datacenter firm providing outsourced cloud computing for those looking to build AI. The startup builds artificialintelligence software for programmers.
Venture money wasnt concentrated in just one sector, as VCs invested in everything from artificialintelligence to biotech to energy. tied) Anthropic , $1B, artificialintelligence: Anthropic, a ChatGPT rival with its AI assistant Claude, is reportedly taking in a fresh $1 billion investment from previous investor Google.
billion to develop datacenters in Spain. In 2023, it partnered with Digital Realty to develop $7 billion in datacenters targeting providers of online content, cloud services and artificialintelligence. Last year it was reported the worlds largest asset manager plans to invest $8.2
While most of the talk about the White Houses new Stargate Project centered on the three big tech names OpenAI , SoftBank and Oracle Abu Dhabi-based investment firm MGX also is poised to play a big role in the new AI project. However, that is nothing new for the firm when it comes to large AI investments in the U.S.
Close to a third of all global venture funding went to companies in AI-related fields, making artificialintelligence the leading sector for funding. billion in 2023 Crunchbase data shows. Large early-stage rounds went to datacenters, renewable energy, AI, robotics and biotech. billion invested a year ago.
It also took part in the $135 million Series D for San Francisco-based EvenUp , a legal tech startup creating artificialintelligence products for the personal injury sector. Related reading: AI, DataCenter And Energy Startups Get Large Capital Infusion In October OpenAI Raises $6.6B
The startup gives access to the highly sought after AI chips from Nvidia through its more than two dozen datacenters. Gen Teare Health and biotech Hinge Health : This is another IPO prediction where were not exactly going out on a limb (pun intended in this case). It seems well positioned to make that happen.
Energy and datacenters seem to be on everyone’s mind right now — and this week’s list bears that out. Lightmatter , $400M, datacenters: Lightmatter, a startup that uses light to link chips together and to do calculations for the deep learning necessary for AI, locked up a $400 million Series D led by new investor T.
While there were no huge rounds like last week, money was again spread around from AI to biotech to marketing and more. Earlier in March, shares of Astera Labs — a developer of datacenter connectivity technology with use cases in generative AI — soared after its initial public offering on the Nasdaq.
Metsera , $290M, biotech: This week was a slower week than normal for biotech — as it was for most sectors — but that didn’t stop New York-based Metsera. Also last month, Astera Labs — a developer of datacenter connectivity technology with use cases in generative AI — soared after its initial public offering on the Nasdaq.
April also saw a half-dozen rounds of a quarter-billion dollars or more, including a $1 billion round for an AI-enhanced biotech. Xaira Therapeutics , $1B, biotech: The biggest round in April was really big. Augment , $227M, artificialintelligence: AI coding startups are making a big splash. Let’s take a look.
Data needs to be stored somewhere. However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. According to Internet DataCenter (IDC) , global data is projected to increase to 175 zettabytes in 2025, up from 33 zettabytes in 2018.
Artificialintelligence was big in 2023 — and that could be the understatement of the year. As part of the deal, Anthropic will now use Amazon Web Services datacenters, as well as AWS Trainium and Inferentia chips to build, train and deploy its models. It even has invested in a handful of biotech companies using AI.
Early stage Activity in Q1 was pretty robust at early stage, boosted by big rounds for companies focused on biotech, artificialintelligence and climate tech. Santa Clara, California-based Astera, a developer of datacenter connectivity technology with use cases in generative AI, made its splashy debut first on March 20.
The latest piece in her reinvention story is Synchrony’s new Tech Apprenticeship for ArtificialIntelligence, a full-time, 12-month program that balances on-the-job learning with instructor-led training, providing Chavarin with a pathway into one of the most coveted technology spaces despite her very nontraditional IT background.
Last week AI private market investors likely rejoiced when it was reported datacenter startup Astera Labs was preparing for a potential March initial public offering. The fund plans to lead or co-lead investments and focus on enterprise software startups, including, of course, those using artificialintelligence.
Khosla said that a good analogy was biotech/pharma investing, where it takes 10-15 years from concept to a drug approved on market. .” To summarize the scale of efforts needed, Bill Gross, the founder of Idealab , Heliogen and Energy Vault , said , “We need thousands of shots on goal to do it, and entrepreneurship is the answer.”
Liquid AI , $250M, artificialintelligence: What would a week be without a big generative AI raise? The Cambridge, Massachusetts-based company has created liquid foundation models lightweight, general-purpose AI models that need less data and compute power. billion, per the report. billion valuation, per Bloomberg.
The scope includes companies working with machine learning, fintech, biotech, cybersecurity, smart cities, voice recognition, and healthtech. The event for data scientists and related entrepreneurs plans to introduce newly-emerging technologies and best practices in data science, machine learning, deep learning, and artificialintelligence.
Some people are more excited by emerging areas like artificialintelligence, which has been a focus of the country’s military for years, and like cybersecurity is now producing many fresh teams of founders. cybersecurity/DevOps/connected everything/deep compute, big data and AI/next-generation storage and datacenter.
The New York City Economic Development Corporation has announced in recent years that the city would provide up to $100 million to build the Applied Life Sciences Hub while also pitching in $17 million for the launch of Johnson & Johnson’s new JLabs biotech incubator at the New York Genome Center. It’s New York.
The New York City Economic Development Corporation has announced in recent years that the city would provide up to $100 million to build the Applied Life Sciences Hub while also pitching in $17 million for the launch of Johnson & Johnson’s new JLabs biotech incubator at the New York Genome Center. It’s New York.
Despite the drop, China did see four of the six $1 billion-plus rounds to Asia-based startups last year: In February, artificialintelligence startup Moonshot AI raised more than $1 billion in a funding round led by Alibaba Group and HongShan , formerly Sequoia Capital China. billion last year. billion Series B.
In Denver, meanwhile, the largest round by a long shot was a $600 million October Series D for Crusoe Energy Systems , a developer of AI-optimized datacenters. For Boston, it was Liquid AI , a generative AI startup that closed on a $250 million December Series A. Will secondary AI hubs nab a bigger share of funding?
Just as datacenters have seen billions of dollars in investments to help with the problem, so could quantum computing. Even aside from AI, it seems many are starting to warm to the technology’s ability to transform a variety of industries ranging from healthcare and biotech to financial services to even defense.
In the last nearly two quarters, the fund has participated in 13 funding rounds many of them large and many of them involving artificialintelligence per Crunchbase data. The Vision Fund also took part in datacenter firm GDS International s massive $1.2 That was not its only AI-related deal. billion Series B.
ElevenLabs , $180M, artificialintelligence: Voice AI startup ElevenLabs raised a $180 million round led by Iconiq Growth and Andreessen Horowitz at a $3.3 Last October, Pacific Fusion , a startup attempting to create a nuclear fusion-based energy source, raised more than $900 million in a Series A led by General Catalyst.
Funding to healthcare and biotech totaled 22% of total investment. Hardware received 18% of funding last month, with large rounds for datacenters and robotics startups, while 15% of funding went to the manufacturing sector, where startups in defense and aerospace, and material science raised large rounds.
Artificialintelligence once again dominated venture capital last year. Crusoe Energy Systems , $600M, energy: Back in 2022, this Denver-based company was helping power Bitcoin mining by harnessing natural gas that is typically burned during oil extraction and putting it toward powering the datacenters needed for mining.
Better models, cheaper energy Venture capital funding alone cant foot the bill for AI model development, chip innovation, datacenters and energy output, although a lot of innovation will continue to be funded by VCs. Just a couple of years ago, the U.S. received just under half 48% of total venture spending.
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