Elon Musk’s xAI lands $6B in new cash to fuel AI ambitions


Updated December 25, 12:21 p.m. Pacific: Added details of xAI’s valuation and Kingdom Holdings’ contribution.

xAI, Elon Musk’s AI company, has raised $6 billion in a Series C financing round.

The company announced this week that Andreessen Horowitz , Blackrock, Fidelity, Lightspeed, MGX, Morgan Stanley, OIA, QIA, Sequoia Capital, Valor Equity Partners, Vy Capital, Nvidia, AMD, and others participated.

Kingdom Holdings, the Saudi conglomerate holding company, invested roughly $400 million in the round, according to a public filing. The filing also revealed that xAI is now valued at $45 billion, close to double its previous valuation.

The new cash brings xAI’s total raised to $12 billion, adding to the $6 billion tranche xAI raised in May.

According to the Financial Times, only investors who’d backed xAI in its previous fundraising round were permitted to participate in this one. Reportedly, investors who helped finance Musk’s Twitter acquisition were given access to up to 25% of xAI’s shares.

“xAI’s most powerful model yet … is currently training and we are now focused on launching innovative new consumer and enterprise products,” xAI said in a statement. “The funds from this financing round will be used to further accelerate our advanced infrastructure, ship groundbreaking products … and accelerate … research and development.”

Ramping up AI

Musk formed xAI last year. Soon after, the company released Grok, a flagship generative AI model that now powers a number of features on X, including a chatbot accessible to X Premium subscribers and free users in some regions.

Grok has what Musk has described as “a rebellious streak” — a willingness to answer “spicy questions that are rejected by most other AI systems.” Told to be vulgar, for example, Grok will happily oblige, spewing profanities and colorful language you won’t hear from ChatGPT.

Musk has derided ChatGPT and other AI systems for being too “woke” and “politically correct,” despite Grok’s own unwillingness to cross certain boundaries and hedge on political subjects. He’s also referred to Grok as “maximally truth-seeking” and less biased than competing models, although there’s evidence to suggest that Grok leans to the left.

Over the past year, Grok has become increasingly ingrained in X, the social network formerly known as Twitter. At launch, Grok was only available to X users — and developers skilled enough to get the “open source” edition up and running.

Thanks to an integration with xAI’s in-house image generation model, Aurora, Grok can generate images on X (without guardrails, controversially). The model can analyze images as well, and summarize news and trending events — imperfectly, mind.

Reports indicate that Grok may handle even more X functions in the future, from enhancing X’s search capabilities and account bios to helping with post analytics and reply settings. X recently got a “Grok button” designed to help users discover “relevant context” and dive deeper into trending discussions and real-time events.

xAI is sprinting to catch up to formidable competitors like OpenAI and Anthropic in the generative AI race. The company launched an API in October, allowing customers to build Grok into third-party apps, platforms, and services. And it just rolled out a standalone Grok iOS app to a test audience.

Musk asserts that it hasn’t been a fair fight.

In a lawsuit filed against OpenAI and Microsoft, OpenAI’s close collaborator, attorneys for Musk accuse OpenAI of “actively trying to eliminate competitors” like xAI by “extracting promises from investors not to fund them.” OpenAI, Musk’s counsel says, also unfairly benefits from Microsoft’s infrastructure and expertise in what the attorneys describe as a “de facto merger.”

Yet Musk often says that X’s data gives xAI a leg up compared to rivals. Last month, X changed its privacy policy to allow third parties, including xAI, to train models on X posts.

Musk, it’s worth noting, was one of the original founders of OpenAI, and left the company in 2018 after disagreements over its direction. He’s argued in previous suits that OpenAI profited from his early involvement yet reneged on its nonprofit pledge to make the fruits of its AI research available to all.

OpenAI, unsurprisingly, disagrees with Musk’s interpretation of events. In a mid-December press release, the company characterized Musk’s lawsuit as misleading, baseless, and a case of sour grapes.

An xAI ecosystem

xAI has outlined a vision according to which its models would be trained on data from Musk’s various companies, including Tesla and SpaceX, and the models could then improve technology across those companies. xAI is already powering customer support for SpaceX’s Starlink internet service, according to The Wall Street Journal, and the startup is said to be in talks with Tesla to provide R&D in exchange for some of the carmaker’s revenue.

Tesla shareholders, for one, object to these plans. Several have sued Musk over his decision to start xAI, arguing that Musk has diverted both talent and resources from Tesla to what’s essentially a competing venture.

Nevertheless, the deals — and xAI’s developer and consumer-facing products — have driven xAI’s revenue to around $100 million a year. For comparison, Anthropic is reportedly on pace to generate $1 billion in revenue this year, and OpenAI is targeting $4 billion by the end of 2024.

Musk said this summer that xAI is training the next generation of Grok models at its Memphis data center, which was apparently built in just 122 days and is currently powered partly by portable diesel generators. The company hopes to upgrade the server farm, which contains 100,000 Nvidia GPUs, next year; in a press release, xAI said it plans to fully double that number. (Because of their ability to perform many calculations in parallel, GPUs are the favored chips for training and running models.)

In November, xAI won approval from the regional power authority in Memphis for 150MW of additional power — enough to power roughly 100,000 homes. To win the agency over, xAI pledged to improve the quality of the city’s drinking water and provide the Memphis grid with discounted Tesla-manufactured batteries. But some residents criticized the move, arguing it would strain the grid and worsen the area’s air quality.

Tesla is also expected to use the upgraded data center to improve its autonomous driving technologies.

xAI has expanded quite rapidly from an operations standpoint in the year since its founding, growing from just a dozen employees in March 2023 to over 100 today. In October, the startup moved into OpenAI’s old corporate offices in San Francisco’s Mission neighborhood.

xAI has reportedly told investors it plans to raise more money next year.

It won’t be the only AI lab raising immense cash. Anthropic recently secured $4 billion from Amazon, bringing its total raised to $13.7 billion, while OpenAI raised $6.6 billion in October to grow its war chest to $17.9 billion.

Megadeals like OpenAI’s and Anthropic’s drove AI venture capital activity to $31.1 billion across over 2,000 deals in Q3 2024, per PitchBook data.

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AI coding startup Poolside raises $500M from eBay, Nvidia and others


Poolside, the AI-powered software dev platform, has raised half a billion dollars in new capital.

The cash came in the form of a Series B led by Bain Capital Ventures, which also had participation from a who’s who of big tech firms including eBay (via eBay Ventures) and Nvidia. It brings Poolside’s total raised to $626 million; Bloomberg reports that the startup’s valuation now sits at $3 billion.

TechCrunch revealed this summer that Poolside was in the midst of raising substantial funding.

“We believe software development will be the first broad capability where AI will reach and surpass human-level intelligence,” Poolside CEO Jason Warner said in a press release. “Through our team, our applied research, and a powerful revenue engine, poolside will bring AI for software development so that anyone in the world can build.”

U.S.- and Europe-based Poolside was founded last year by Warner and Eiso Kant, both software engineers. Warner is the former CTO of GitHub, having also headed engineering orgs at Canonical and Heroku. Kant previously co-founded several dev-focused startups, including engineering analytics firm Athenian.

Warner, who incubated GitHub’s AI-powered Copilot tool, met Kant in 2017. Over the next six years, the pair plotted an AI-driven assistive tool suite for devs, which became Poolside.

Poolside develops its own AI models to help with tasks like autocompleting code and suggesting code possibly relevant to a particular context or codebase — much like rival AI assistive coding tools. The company’s customers are primarily Global 2000 companies and public-sector agencies; few have been publicly disclosed.

The Series B funding allowed Poolside to bring 10,000 Nvidia GPUs online to train future models, Warner said, and will bolster the company’s go-to-market and R&D efforts.

Despite the security, copyright and reliability concerns around AI-powered assistive coding tools, developers have shown enthusiasm for them, with the vast majority of respondents in GitHub’s latest poll saying that they’ve adopted AI tools in some form. GitHub reported in April that Copilot had over 1.8 million paying users and more than 50,000 business customers.

Encouraged by the adoption trend, VCs are pouring massive sums of cash into AI coding startups. Generative AI coding firm Magic landed $320 million in August — the same day GitHub Copilot competitor Codeium closed a $150 million fundraising round. Earlier in August, Cognition, best known for its viral coding assistant Devin, secured $175 million at a $2 billion valuation.

Polaris Research projects that the AI coding tools market could be worth $27 billion by 2032. At this rate, that doesn’t seem terribly far-fetched.

LG Technology Ventures, Felicis Ventures, Redpoint Ventures, Citi Ventures, Capital One Ventures, HSBC Ventures, DST Global, StepStone Group, Schroders Capital, Premji Invest, Dorsal Capital, BAM Elevate, Adams Street, and Fin Capital also invested in Poolside’s Series B.

13 companies from YC Demo Day 1 that are worth paying attention to


Famed Silicon Valley startup accelerator Y Combinator on Wednesday kicked off its two-day “Demo Day” event that showcases what the most recent YC batch, S24, companies are building.

Unsurprisingly, AI companies dominated the day, with startups looking to apply the technology to problems like estate planning and settlements, Elayne; automating clinical trial data, Baseline AI; and helping companies get goods through customs, Passage.

Sectors like fintech, healthcare, and web3, which dominated YC cohorts of the past, were noticeably quieter, or completely absent, from Wednesday’s presentation.

Here are the companies worth paying attention to from the first day of Demo Day. Spoiler alert: Pretty much all use AI.

What it does: Automates moving baggage at airports with robots

Why it’s a fave: This seems like an ideal use case for robots, considering that collecting and moving baggage at airports is an entirely manual process, which can also be dangerous. This may also be technology that airports would actually be willing to pay for.

What it does: AI automation of clinical trial documents

Why it’s a fave: I’m a fan of anything that is aiming to make clinical trials work better and run faster, considering how important they are in the process of getting new drugs and treatments to market. The company claims it can save companies $18 million in costs and lost revenue, which seems like a notable improvement.

What it does: AI-powered estate planning and settlements

Why it’s a fave: As someone who has watched a family member navigate this process, I’m glad someone is building a better solution. Plus, the fact that Elayne is looking to reach consumers through their employers is a smart way to get more people thinking about this before they have to.

What it does: Automated testing for AI voice agents

Why it’s a fave: There are so many startups building customer support AI systems, but do they work? I think Hamming’s strategy of testing out these AI customer service bots is a needed service in this growing ecosystem.

What it does: Data centers in space

Why it’s a fave: This company stood out because it seems like an extreme moonshot, and yet it’s already landed customers and is launching a demonstrator satellite next year. The concept of using solar energy to power data centers may be one we might want to consider doing on Earth, too.

What it does: Helps cities optimize transit

Why it’s a fave: Ontra Mobility’s quest to help local governments better utilize their public transit options is a solid one. Most cities don’t have the budget to expand public transit options despite population growth, so figuring out a smarter way to utilize what options they already have makes sense.

What it does: AI-assisted customs support

Why it’s a fave: Considering how easy it is for consumers to get packages held up by customs, I can only imagine how complicated the importing process is for companies moving a lot of goods across the border all the time.

What it does: AI Price optimization

Why it’s a fave: This is a super interesting approach to ecommerce pricing. Promi’s AI looks to help companies offer data-informed fluctuating discounts to customers that change based on interest and activity. This makes a lot of sense.

What it does: TurboTax for building rebates

Why it’s a fave: Personally I’m a fan of any company that helps consumers or other companies unlock the government incentives they are eligible for. I like RetroFix’s approach in particular because it’s unlocking government money for contractors to make buildings more sustainable.

What it does: Automates government approvals for construction projects

Why it’s a fave: This is the kind of application AI was made for. SchemeFlow’s software helps construction companies automate technical reports shrinking the process to minutes. Further impressive, the young company has already generated reports for more than 400 construction projects.

What it does: Synthetic datasets for vision models

Why it’s a fave: There is only so much quality data available for large language models to train on, which leaves many LLM companies tempted to get data from sources they shouldn’t — or aren’t allowed to. Help stop AI companies from illegally scraping data? Sounds like a good goal to me.

What it does: Network of in-space refueling stations

Why it’s a fave: The space industry is booming; many entrepreneurs are looking to build and send satellites, rockets, and other devices up into space. Building a company that services this growing economy seems like a smart strategy.

What it does: Helps businesses become employee owned

Why it’s a fave: The company’s mission to help companies transition into employee owned is a novel one. Selling a company to its employees helps create wealth for the employees and generally results in a bigger payout for the seller. Sounds like a win-win.