CEO of writer.com May Habib attends the Harper’s Bazaar At Work Summit, in partnership with Porsche and One&Only One Za’abeel, at Raffles London at The OWO on November 21, 2023 in London, England.
Dave Benett | Getty Images
San Francisco-based AI startup Writer debuted a large artificial intelligence model on Wednesday to compete with enterprise offerings from OpenAI, Anthropic and others. But, unlike some of those competitors, it doesn’t need to spend as much to train its AI.
The company told CNBC it spent about $700,000 to train its latest model, including the data and GPUs, compared to the millions of dollars competing startups spend to build their own models. Its strategy has caught the attention of investors.
Writer is raising up to $200 million at a $1.9 billion valuation, according to a source familiar with the situation who spoke with CNBC. That’s nearly quadruple the company’s valuation last September, when it raised $100 million at a valuation of more than $500 million.
The company cuts costs using synthetic data, or data created by AI. It’s designed to mimic the real-world information that’s usually fed into models without compromising privacy and is becoming a more popular method for training.
A study by AI researchers revised in June found that if current AI development trends continue, tech companies will “fully exhaust” the publicly available training data between 2026 and 2032, writing that “human-generated public text data cannot sustain scaling beyond this decade.”
Amazon has used synthetic data in training Alexa, Meta has used it to fine-tune its Llama models and Microsoft-backed OpenAI is incorporating it into its models, according to job descriptions posted by the company. Some experts, however, have warned that synthetic data should be used cautiously, as it has the potential to degrade model performance and exacerbate existing biases.
Waseem Alshikh, Writer’s co-founder and CTO, told CNBC that Writer has been working on its synthetic data pipeline for years.
“There’s some confusion in the industry about the definition of ‘synthetic’ data,” Alshikh said. “To be clear, we don’t train our models on fake or hallucination data, and we don’t use a model to generate random data… We take real, factual data and convert it to synthetic data that is specifically structured in a clearer and cleaner way for model training.”
The company’s generative AI allows corporate clients to use its large language models (LLMs) to generate human-sounding text for anything from LinkedIn posts to job descriptions to mission statements, as well as data analysis and summarization. The company has more than 250 enterprise customers, including Accenture, Uber, Salesforce, L’Oreal and Vanguard, who use the tech across sectors like support, IT, operations, sales, and marketing.
The generative AI market is poised to top $1 trillion in revenue within a decade. To date in 2024, investors have pumped $26.8 billion into 498 generative AI deals, according to PitchBook, and companies in the sector raised $25.9 billion in 2023, up more than 200% from 2022.
Coinbase unveiled Wednesday an “everything app” designed to bring more people into the crypto economy.
The “Base App,” which replaces Coinbase Wallet, will combine wallet, trading and payment functions as well as social media, messaging and support for mini apps – all running on the company’s homegrown public blockchain network Base, which is built on Ethereum.
So-called super apps like WeChat and Alipay – which bundle several different services and functionalities into a single mobile app – have long been viewed as the holy grail of fintech by the industry. They’re central to everyday life in China but haven’t been successfully replicated in the West. Meta Platforms and X have made attempts to realize that vision, integrating payments, messaging and social content, among other things.
For Coinbase, the intent is to expand its reach to a new subset of consumers who aren’t necessarily interested in buying or trading crypto, the company’s core business. Over-reliance on that revenue stream has been a sticking point for the company, and some analysts view the Base blockchain as a way for it to drive utility in crypto beyond speculative trading.
As part of the Base App launch, Coinbase also rolled out two key functions meant to help power it: an identity verification system called Base Account and an express checkout system for payments with the Circle-issued USDC stablecoin, called Base Pay.
Base Pay is a one-click checkout feature for USDC payments across the web, developed with Shopify. At the end of the year, Coinbase plans to bring Base Pay to brick-and-mortar stores with tap-to-pay support. Alex Danco, product manager at Shopify, said at Coinbase’s unveiling event that the function has been turned on for tens of thousands of its merchants this week, and will roll out to every merchant by the end of the year. Shopify will also offer 1% cash back in the U.S. for users who pay with USDC on Base later this year, he said.
Base is often touted for its ability to settle a payment in less than a second for less than a cent, which its fans expect will help the network grow in a way other crypto-based payments efforts haven’t.
Now, Coinbase hopes to tap into an opportunity to settle payments on the Base network that go beyond trading and payments. With the introduction of the everything app, the company is emphasizing the opportunity for a new economic model for content creators in particular – one that might give them more direct and diverse monetization options for their content as well as more control over their identity and data.
Coinbase will fund creator rewards and waive USDC transaction fees within chats in the app as part of the effort to bring more users on chain. It is not expected to generate significant revenue right away.
The new consumer app comes as the crypto industry and Coinbase, in particular, embrace a boom in product launches and rollouts thanks to the pro-crypto policies of the Trump administration and more clearly defined crypto regulations expected from Congress — perhaps as soon as this week. Last month Coinbase launched its first credit card with American Express and Shopify rolled out USDC-powered payments through Coinbase and Stripe.
OpenAI CEO Sam Altman speaks to members of the media as he arrives at a lodge for the Allen & Co. Sun Valley Conference on July 8, 2025 in Sun Valley, Idaho.
The reach for additional capacity aligns with OpenAI’s desire for more computing power to meet heavy demand after initially relying exclusively on Microsoft for cloud capacity. The two companies’ relations have evolved since then, with Microsoft naming OpenAI as a competitor last year.
Both companies sell AI tools for developers and offer subscriptions to companies.
OpenAI has added Google to a list of suppliers, specifying that ChatGPT and its application programming interface will use the Google Cloud Platform, as well as Microsoft, CoreWeave and Oracle.
The announcement amounts to a win for Google, whose cloud unit is younger and smaller than Amazon‘s and Microsoft‘s. Google also has cloud business with Anthropic, which was established by former OpenAI executives.
The Google infrastructure will run in the U.S., Japan, the Netherlands, Norway and the United Kingdom.
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Last year, Oracleannounced that it was partnering with Microsoft and OpenAl “to extend the Microsoft Azure Al platform to Oracle Cloud Infrastructure” to give OpenAI additional computing power. In March, OpenAI committed to a cloud agreement with CoreWeave in a five-year deal worth nearly $12 billion.
Microsoft said in January that it had agreed to move to a model of providing the right of first refusal anytime OpenAI needs more computing resources, rather than being its exclusive vendor across the board. Microsoft continues to hold the exclusive on OpenAI’s programming interfaces.
Sam Altman, OpenAI’s co-founder and CEO, said in April that the startup, which draws on Nvidia graphics processing units to power its large language models, was facing capacity constraints.
“if anyone has GPU capacity in 100k chunks we can get asap please call!” he wrote in an X post at the time.
Reuters reported in June that OpenAI was planning to bring on cloud capacity from Google.
Elon Musk interviews on CNBC from the Tesla Headquarters in Texas.
CNBC
In May, Tesla changed its corporate bylaws in a way that would require investors to own 3% of the stock, today worth about $30 billion, in order to file a derivative lawsuit against the company for breach of fiduciary duties. Authorities in New York State are now asking Tesla to delete the bylaw entirely.
Overseers of the New York State Common Retirement Fund, which owns about 0.1% of Tesla’s shares, submitted a formal proxy proposal and letter to the company on July 11, and shared it with CNBC on Wednesday. They say that Elon Musk’s automaker engaged in a “bait-and-switch” to convince shareholders to approve an incorporation move from Delaware to Texas in June 2024.
Musk made the move after a judge in Delaware voided the $56 billion pay package that the CEO, also the world’s richest person, was granted by Tesla in 2018, the largest compensation plan in public company history. In getting shareholders to approve the change in its state of incorporation, Tesla said that stakeholders’ rights “are substantially equivalent” under the laws of Delaware and Texas.
On May 14, almost a year after Tesla’s move, Texas changed its law to allow corporations in the state to require 3% ownership before being able to carry forth a shareholder derivative suit.
“The very next day, Tesla’s board amended the Company’s bylaws to the maximum allowable 3% ownership threshold, effectively insulating the Company’s directors and officers from accountability to shareholders,” the New York letter says. The letter was signed by Gianna McCarthy, a director of corporate governance with the retirement fund, on behalf of the fund and New York State Comptroller Thomas DiNapoli.
Only three institutions currently own at least 3% of Tesla’s outstanding shares.
Tesla didn’t immediately respond to a request for comment.
The New York fund overseers wrote that derivative actions are “the last resort for shareholders to enforce their rights” when company directors or officers violate their fiduciary obligations, and called Tesla’s decision on the matter “egregious.”
In an email to CNBC, DiNapoli said Tesla “deceived shareholders” in assuring them that their rights would remain the same in Texas.
“These actions violate basic tenets of good corporate governance and must be reversed,” he wrote.