Vera AI Inc., a startup focused on responsible artificial intelligence deployment, announced today the general availability of its AI Gateway platform. The system aims to help organizations more quickly and safely implement AI technologies by providing customizable guardrails and model routing capabilities.

“We’re really excited to be announcing the general availability of our model routing and guardrails platform,” said Liz O’Sullivan, CEO and co-founder of Vera, in an interview with VentureBeat. “We’ve been hard at work over the last year building something that could scalably and repeatably accelerate time to production for the kinds of business use cases that actually stand to generate a lot of excitement.”

Bridging the gap: How Vera’s AI gateway tackles last-mile challenges

The launch comes at a time when many companies are eager to adopt generative AI and other advanced AI technologies, but remain hesitant due to potential risks and challenges in implementing safeguards. Vera’s platform sits between users and AI models, enforcing policies and optimizing costs across different types of AI requests.

“Businesses are only ever interested in doing one of three things, whether that’s make more money, save more money, or reducing risk,” O’Sullivan explained. “We’ve focused ourselves squarely on the last mile problems, which people think, just like regular software engineering, that it’s going to be quick and easy, that these are just afterthoughts that you can apply to optimize costs or to reduce risks associated with things like disinformation and broad and CSAM, but they’re actually quite hard.”

Justin Norman, CTO and co-founder of Vera, emphasized the importance of nuance in AI policy implementation: “You want to be able to set the bar for where your system will respond and where it will not respond and what it will do, without having to rely upon what some other companies made a decision for you on.”

From AI safety activism to startup success: The minds behind Vera

The company’s approach appears to be gaining traction. According to O’Sullivan, Vera is already “processing tens of thousands of model requests per month across a handful of paying customers.” The startup offers API-based pricing at one cent per call, aligning its incentives with customer success in AI deployment.

Vera’s launch is particularly noteworthy given the founders’ backgrounds. O’Sullivan, who serves on the National AI Advisory Committee, has a history of AI safety activism, including her work at Clarifai. Norman brings experience from government, academia, and industry, including PhD work at UC Berkeley focused on AI robustness and evaluation.

Navigating the AI safety landscape: Vera’s role in responsible innovation

As AI adoption accelerates across industries, platforms like Vera’s could play a crucial role in addressing safety and ethical concerns while enabling innovation. The startup’s focus on customizable guardrails and efficient model routing positions it well to serve both enterprise clients managing internal AI use and companies developing consumer-facing AI applications.

However, Vera faces a competitive landscape with other AI safety and deployment startups also vying for market share. The company’s success will likely depend on its ability to demonstrate clear value to customers and stay ahead of rapidly evolving AI technologies and associated risks.

For organizations looking to responsibly implement AI, Vera’s launch offers a new option to consider. As O’Sullivan put it, “We’re here to make it as easy as possible to enjoy the benefits of AI while reducing the risks that things do go wrong.”

ChatGPT maker OpenAI has closed the largest VC round of all time.

The startup today announced that it raised $6.6 billion in a funding round that values OpenAI at $157 billion post-money. Led by previous investor Thrive Capital, the new cash brings OpenAI’s total raised to $17.9 billion, per Crunchbase.

Thrive invested around $1.3 billion, per The New York Times, with an exclusive option to invest up to $1 billion more at the same valuation (through 2025). Microsoft, Nvidia, SoftBank, Khosla Ventures, Altimeter Capital, Fidelity, and MGX also participated in the fundraising.

“The new funding will allow us to double down on our leadership in frontier AI research, increase compute capacity, and continue building tools that help people solve hard problems,” the company wrote in a blog post. “We’re grateful to our investors for their trust in us, and we look forward to working with our partners, developers, and the broader community to shape an AI-powered ecosystem and future that benefits everyone.”

There may be unusual strings attached. This morning, the Financial Times reported that OpenAI asked investors to avoid backing rival startups such as Anthropic and xAI. We’ve reached out to the company for more information and will update this post when we hear back.

OpenAI was already the world’s best-funded AI startup. But the mammoth new tranche puts the San Francisco company in a category all its own.

Elon Musk’s AI venture, the aforementioned xAI, raised over $6 billion earlier this year, but at a valuation dwarfed by OpenAI’s ($24 billion post-money). Chief OpenAI rival Anthropic has secured just over half OpenAI’s total ($9.7 billion) since its founding, while high-profile AI ventures Cohere and Mistral’s capital war chests are hovering around $1 billion.

So why did OpenAI need to raise more cash than the government of Zimbabwe spent in 2021? Well, quite simply, to sustain its sprawling operations. OpenAI is reportedly burning through billions training and productizing its AI systems — systems like the recently debuted o1 — and recruiting coveted data science talent to stay apace with the competition.

According to The Information, OpenAI has spent roughly $7 billion on model training and $1.5 billion on staffing. (OpenAI CEO Sam Altman has said that one of the company’s older leading models, GPT-4, cost more than $100 million to train.) And at one point in time, ChatGPT alone was said to be costing OpenAI $700,000 a day to run.

OpenAI is far and away the market leader in generative AI. ChatGPT has more than 250 million users (around 10 million of which are paying subscribers), and OpenAI’s annualized revenue has reportedly eclipsed $3.4 billion. ChatGPT alone could bring in $2.7 billion this year, The New York Times reports, citing internal OpenAI docs.

Microsoft, OpenAI’s close partner and investor (it’s put in over $13 billion), has built an entire suite of productivity products on top of OpenAI models. And Apple is integrating ChatGPT with its Apple Intelligence lineup of AI technology.

OpenAI optimistically projects its revenue will reach $100 billion in 2029 — matching the current annual sales of Nestlé. But it faces competition on many fronts.

Startups like Runway and Luma Labs have beat OpenAI to market with high-fidelity video generation models. (OpenAI’s own video model, Sora, is expected to launch sometime this fall.) Anthropic continues to build out an AI product suite to rival ChatGPT. xAI, Google and Amazon are investing heavily in infrastructure to train powerful next-generation models, and Meta — along with upstarts such as Black Forest Labs — continue to release open models on their quest to commoditize text- and image-generating AI.

The competitive pressures are such that OpenAI may steeply increase the price of its premium ChatGPT plan, ChatGPT Plus, from $20 per month to $44 per month by 2029 — and revamp its corporate structure to attract more investments.

The for-profit division of OpenAI is currently governed by a nonprofit that caps investors’ returns. But Altman is said to have signaled that OpenAI will move away from nonprofit governance in the next few months. Reuters reported earlier that the close of the $6.6 billion round was contingent on this, in fact — and Altman possibly receiving equity.

According to Bloomberg, investors in the new round will be able to claw back their cash if OpenAI doesn’t complete the conversion from nonprofit to for-profit within two years. 

Unfettering its ability to raise could give OpenAI greater freedom to explore capital-intensive, longer-term bets, like AI chips — and entire datacenters — to lessen its reliance on Nvidia. (Nvidia makes the hardware on which OpenAI trains and runs many of its models.) It’ll also refill the company’s coffers to ink licensing agreements with data providers such as Reddit and Condé Nast — agreements that could give OpenAI a competitive edge while at the same time shielding it from IP lawsuits.

Whether it’ll be able to execute is another question. OpenAI’s been shedding high-profile execs in recent weeks, the culmination of disagreements over the company’s direction.

CTO Mira Murati, chief research officer Bob McGrew, and research VP Barret Zoph announced their resignations in late September. Prominent research scientist Andrej Karpathy left OpenAI in February; months later, OpenAI co-founder and former chief scientist Ilya Sutskever quit, along with former safety leader Jan Leike. In August, co-founder John Schulman said he would leave. And Greg Brockman, OpenAI’s president, is on sabbatical through the end of the year.

Of the 13 people who helped found OpenAI in 2015, only three remain.

Another beloved Apple TV Plus show is getting a second season. The streamer announced today that the detective series Sugar, which stars Colin Farrell in the titular role, has been renewed for season 2. It’s not clear yet when the show will return.

Sugar debuted earlier this year. And while it started out as a clever story about a private investigator, a big twist midway through the first season — you can read about it here, but (obviously) spoilers abound — pushed it into sci-fi territory, a space Apple has been very successful in. There aren’t many details about the upcoming season, but in a press release, Apple says that “season two will see Sugar back in Los Angeles, taking on another missing persons case as he continues to look for answers surrounding his missing sister.”