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The Facebook insider building content moderation for the AI era

When Brett Levenson left Apple in 2019 to lead business integrity at Facebook, the social media giant was in the thick of the Cambridge Analytica fallout. At the time, he thought he could simply fix Facebook’s content moderation problem with better technology. 

The problem, he quickly learned, ran deeper than technology. Human reviewers were expected to memorize a 40-page policy document that had been machine-translated into their language, he said. Then they had about 30 seconds per piece of flagged content to decide not just whether that  content violated the rules, but what to do about it: block it, ban the user, limit the spread. Those quick calls were only “slightly better than 50% accurate,” according to Levenson.

“It was kind of like flipping a coin, whether the human reviewers could actually address policies correctly, and this was many days after the harm had already occurred anyway,” Levenson told TechCrunch.

That sort of delayed, reactive approach is not sustainable in a world of nimble and well-funded adversarial actors. The rise of AI chatbots has only compounded the problem, as content moderation failures have resulted in a string of high-profile incidents, like chatbots providing teens with self-harm guidance or AI-generated imagery evading safety filters.

Levenson’s frustration led to the idea of “policy as code” — a way to turn static policy documents into executable, updatable logic tightly coupled to enforcement. That insight led to the founding of Moonbounce, which announced on Friday it has raised $12 million in funding, TechCrunch has exclusively learned. The round was co-led by Amplify Partners and StepStone Group.

Moonbounce works with companies to provide an additional safety layer wherever content is generated, whether by a user or by AI. The company has trained its own large language model to look at a customer’s policy documents, evaluate content at runtime, provide a response in 300 milliseconds or less, and take action. Depending on customer preference, that action could look like Moonbounce’s system slowing down distribution while the content awaits a human review later, or it might block high-risk content in the moment. 

Today, Moonbounce serves three main verticals: Platforms dealing with user-generated content like dating apps; AI companies building characters or companions; and AI image generators. 

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Moonbounce is supporting more than 40 million daily reviews and serving over 100 million daily active users on the platform, Levenson said. Customers include AI companion startup Channel AI, image and video generation company Civitai, and character roleplay platforms Dippy AI and Moescape. 

“Safety can actually be a product benefit,” Levenson told TechCrunch. “It just never has been because it’s always a thing that happens later, not a thing you can actually build into your product. And we see our customers are finding really interesting and innovative ways to use our technology to make safety a differentiator, and part of their product story.”

Tinder’s head of trust and safety recently explained how the dating platform uses these types of LLM-powered services to reach a 10x improvement in accuracy of detections.

“Content moderation has always been a problem that plagued large online platforms, but now with LLMs at the heart of every application, this challenge is even more daunting,” Lenny Pruss, general partner at Amplify Partners, said in a statement. “We invested in Moonbounce because we envision a world where objective, real-time guardrails become the enabling backbone of every AI-mediated application.”

AI companies are facing mounting legal and reputational pressure after chatbots have been accused of pushing teenagers and vulnerable users toward suicide and image generators like xAI’s Grok have been used to create nonconsensual nude imagery. Clearly, safety guardrails internally are failing, and it’s becoming a liability question. Levenson said AI companies are increasingly looking outside their own walls for help beefing out safety infrastructure. 

“We’re a third party sitting between the user and the chatbot, so our system isn’t inundated with context the way the chat itself is,” Levenson said. “The chatbot itself has to remember, potentially, tens of thousands of tokens that have come before…We’re solely worried about enforcing rules at runtime.”

Levenson runs the 12-person company with his former Apple colleague Ash Bhardwaj, who previously built large-scale cloud and AI infrastructure across the iPhone-maker’s core offerings. Their next focus is a capability called “iterative steering,” developed in response to cases like the 2024 suicide of a 14-year-old Florida boy who became obsessed with a Character AI chatbot. Rather than a blunt refusal when harmful topics arise, the system would intercept the conversation and redirect it, modifying prompts in real time to push the chatbot toward a more actively supportive response.

“We hope to be able to add to our actions toolkit the ability to steer the chatbot in a better direction to, essentially, take the user’s prompt and modify it to force the chatbot to be not just an empathetic listener, but a helpful listener in those situations,” Levenson said. 

When asked whether his exit strategy involved an acquisition by a company like Meta, bringing his work on content moderation full circle, Levenson said he recognizes how well Moonbounce would fit into his old employer’s stack, as well as his own fiduciary duties as a CEO. 

“My investors would kill me for saying this, but I would hate to see someone buy us and then restrict the technology,” he said. “Like, ‘Okay, this is ours now, and nobody else can benefit from it.’”

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Can orbital data centers help justify a massive valuation for SpaceX?

SpaceX has reportedly filed confidential paperwork for an initial public offering in which the company would raise $75 billion at a $1.75 trillion valuation. And according to CEO Elon Musk, orbital data centers will be a big part of SpaceX’s future.

On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed Musk’s vision, as well as other companies that are pursuing similar goals.

It will take significant tech development and massive capital spending to make orbital data centers a reality, but as Sean noted, with “opposition happening around the country to data centers in general,” executives like Musk and Jeff Bezos may be thinking, “The engineering challenge may be less than the social challenge back here” on Earth.

Read a preview of our conversation, edited for length and clarity, below.

Sean: This has been a trend — I would say a rapidly forming trend — over the last half year to a year, and we have different examples of it. We have SpaceX; I feel like in some ways, Elon Musk was late on this trend.  And for the moment, let’s set aside the actual mechanics and the viability of data centers in space. We could talk about that in a second if we want, but — 

Kirsten: We have a really good story we’ll link to in the show notes, by the way. One of our most recent hires, Tim Fernholz, is amazing. He writes all about the physics and the constraints of that.

Sean: Yeah, I think it’s a really interesting engineering challenge. It’s a really interesting physics challenge. It’s a really interesting orbital mechanics challenge. But it’s something that clearly a bunch of companies and people are going to try and chase. [There’s] going to be SpaceX doing it, with a kind of variance of what they’re already working on with their Starlink network. 

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There’s a startup that had come out of Y Combinator, originally called Starcloud, that was really one of the first ones out there trying to build a huge business around this, that just raised $170 million this week, their valuation [on] that tipped them over into a unicorn status.

Jeff Bezos is trying to go after this as well. This is a next generation version of the competition that we’ve seen happening between Starlink and Amazon’s Leo satellite network, and Blue Origin has its own satellite network coming online as well in the next couple of years.

So there’s going to be a whole bunch of this happening, and it feels like it wasn’t happening a year ago. I know the way that Elon Musk pitches it is — we know he’s allergic to red tape, he’s built a data center in Memphis, too. Maybe now he knows the challenges and the risks you have to take to sidestep that red tape.

There’s a lot of opposition happening around the country to data centers in general. And these people say, “We have access to space, so let’s just try and do it up there.” The engineering challenge may be less than the social challenge back here on our [planet].

Kirsten: And it also creates excitement, right? If a company is about to go [public] and they’re working on data centers in space, this is something that people can have expectations about in a positive way and ignore the constraints. It feels like a company that is working on something that’s not old and outdated, but signals the future. And it’s really a great strategy when you think about it.

Anthony: Not that Elon Musk is the only one who does this, but it seems like he’s incredibly successful at being like, “Don’t judge my companies based on how much money they’re making now, judge them based on these grand visions that I can spin out about what will happen in the future.” 

And going back to a point that Sean was making, I think that part of what’s interesting is to [ask]: How does this fit in with the broader data center rollout? How does it fit in with opposition and the idea that maybe people are not going to be able to build as many data centers as they want to? 

I don’t think any of us are engineers who can really assess the viability of these plans. It does certainly have a tinge of fantasy to it, but even when they do lay out these plans, it feels like just a drop in the bucket in terms of compute capabilities compared to what they want to build out on Earth. So it feels like there’s not a scenario where this replaces a whole bunch of new data centers on Earth. It’s just sort of a […] supplement to it.

Sean: The last two things I’ll point out that are really front and center for me is, one, we’ve seen a backing off in some ways [from] data centers — not just because of opposition, but because maybe we don’t need as much, right? We see a bunch of jockeying from some of the AI labs about, “Well, maybe we don’t need to lease this much from this company,” or whatever. And if that becomes a thing that is more true than it was five months ago, do you all of a sudden lose all that momentum to do something as crazy as putting the data centers in space? Providing that it works, even.

The other thing is that the idea of building these massive data centers in space, with all these satellites that make up the quote unquote “data center,” is business for SpaceX.  And I think this is unique to them compared to these other companies: They are a launch company primarily, even though they generate a bunch of revenue from Starlink. They are the vehicle that gets the data centers to space. They get to book that as revenue for SpaceX. 

And so it becomes this thing where, of course [Musk] wants — whether or not it works, he would eventually have to prove it — but of course he wants to send more and more satellites into space because it’s more revenue for SpaceX. And that makes SpaceX look better as a public company. And then you just kind of tumble down the path until he finds something else to pitch the investors on.

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TechCrunch Mobility: ‘A stunning lack of transparency’

Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. To get this in your inbox, sign up here for free — just click TechCrunch Mobility!

You might recall the congressional hearing last month that sparked criticism against Waymo over its use of remote assistance workers in the Philippines. We have covered that issue extensively. You can read about the company’s remote assistance and road assistance teams here and here

Waymo tends to get the most attention because, well, those robotaxis are now operating commercially in 10 U.S. cities, with more coming soon. But the issue of remote assistance is not a Waymo issue. It’s an autonomous vehicle technology issue. 

A new report from Sen. Ed Markey (D-MA) makes my point. 

Markey sent letters to seven U.S. companies — Aurora, May Mobility, Motional, Nuro, Tesla, Waymo, and Zoox — working on autonomous vehicle technology with a list of questions. He wanted to know how often these companies’ vehicles relied on input from remote staff. 

They all refused to say, according to the results of Markey’s investigation. Markey said it was a “stunning lack of transparency from the AV companies around their use of remote assistance operators to help guide their AVs.”

You can read senior reporter Sean O’Kane’s article, which digs into the issue and includes the rather mute responses from the companies. (TechCrunch reached out to all of them.) One interesting admission from Tesla: The company said its remote assistance workers are authorized to temporarily assume direct vehicle control (a very different thing than “remote assistance”) as a final escalation maneuver.

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But here’s the thing — this is not going away. And silence will not defuse the matter. If anything, Markey seems more motivated than ever to get answers. He is now calling on the National Highway Traffic Safety Administration to investigate companies’ use of remote assistance workers and said he is “working on legislation to impose strict guardrails on AV companies’ use of remote operators.”

A little bird

blinky cat bird green
Image Credits:Bryce Durbin

Nothing this week that we have been able to verify. Send us tips! Have one? Email Kirsten Korosec at kirsten.korosec@techcrunch.com or my Signal at kkorosec.07, or email Sean O’Kane at sean.okane@techcrunch.com.

Deals!

money the station
Image Credits:Bryce Durbin

It seems like just last week I was writing about Uber being everywhere, all at once. And I see it is still a trend, although this time it isn’t directly related to autonomous vehicles. 

Uber said it is buying Berlin-based startup Blacklane, which provides on-demand, black-car chauffeur services, as the ride-hail giant expands deeper into luxury and executive travel services. Blacklane, which was founded in 2011, had raised more than $100 million to date from rental car company Sixt, Mercedes-Benz, and Alfahim, a conglomerate in the UAE.

The timing of the acquisition is notable. It comes just a few weeks after Uber announced the launch of Uber Elite, a chauffeur service that also offers a bunch of luxury offerings like airport meet-and-greets and in-vehicle amenities. 

Other deals that got my attention …

Manna Air Delivery, a consumer drone delivery startup based in Ireland, raised $50 million from ARK Invest, the Ireland Strategic Investment Fund, Schooner Capital, Coca-Cola HBC, and Molten Ventures.

Saronic Technologies, an autonomous military ship developer based in Austin, raised $1.75 billion in a Series D funding round led by Kleiner Perkins. The company is now valued at $9.25 billion. Other investors include Advent International, Bessemer Venture Partners, DFJ Growth, BAM Elevate, and other new partners and recognizes the continued commitment of its existing investors, including 8VC, Caffeinated Capital, Andreessen Horowitz, Elad Gil, and Franklin Templeton.

Voltify, a startup that has developed a way to retrofit diesel locomotives with battery power, raised $30 million in seed funding co-led by Israeli venture firm Aleph and Australian miner Fortescue.

Notable reads and other tidbits

Image Credits:Bryce Durbin

Also, the micromobility company created inside Rivian that spun out last year, will work with DoorDash to develop autonomous delivery vehicles. As part of the deal, DoorDash took part in Also’s $200 million Series C funding round, which was led by Greenoaks Capital. DoorDash is getting a seat on Also’s board of directors, too.

Baidu robotaxis stalled throughout Wuhan, China, in some cases trapping passengers for up to two hours due to system failure. 

GM is ramping up its efforts to improve its advanced driver-assistance system, Super Cruise. CEO Mary Barra posted on LinkedIn that GM has started supervised testing of its next-gen automated driving system on public highways in California and Michigan.

“Soon, more than 200 supervised and manual test vehicles will be in live traffic, with trained drivers ready to take over at any time. This data will guide future updates to strengthen our autonomous capabilities,” she wrote.

Lucid issued a recall for more than 4,000 Gravity SUVs after discovering a problem with the seat belts.

The National Highway Traffic Safety Administration reported that traffic deaths fell 6.7% to 36,640 in 2025 from the prior year. This is the second-lowest traffic fatality rate in recorded history at 1,10 fatalities per 100 million vehicle miles traveled, according to the NHTSA.

All of those long TSA lines are prompting airlines to catch up and adapt. For instance, United Airlines has updated its mobile app to show TSA wait times at select airports.

The Subaru-Toyota partnership keeps cranking out EVs. At the New York Auto Show, Subaru introduced the all-electric Gateway, a three-row SUV that is essentially a rebadged Toyota Highlander EV

Tesla’s Q1 sales figures show its cheaper vehicles aren’t helping it turn around declining sales. (Some legacy automakers have seen EV sales plummet.) That seems to have affected Tesla’s workforce numbers at its Austin, Texas, factory, which dropped 22% in 2025. Meanwhile, I riff on the changing of the guard over at Tesla (and, no, I am not referring to the string of executive departures there, although that is interesting). CEO Elon Musk shared that production of the Tesla Model S and X has ended, a milestone that marks the shift away from building cars designed for people to drive and toward robots and self-driving cars.  

Toyota’s Woven Capital has appointed a new CIO and COO in a push to find the “future of mobility.”

Uber and Chinese autonomous vehicle company WeRide launched robotaxi operations without a human safety operator in Dubai as part of a broader expansion in the Middle East.

Waymo’s robotaxi service is now live at San Antonio International, its fourth major airport. Meanwhile, Wired looked at Waymo’s school bus problem (meaning the investigation into the illegal behavior of its robotaxis around school buses). The article provides new details on how the Austin School District tried to help Waymo solve the problem. It didn’t work.

One more thing …

My podcast, the Autonocast, spent some time talking with Ashu Rege, DoorDash’s VP of Autonomy. We recorded the episode prior to the Also-DoorDash announcement, which makes his comments about the company’s strategy all the more interesting. Check out the episode here.

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Copilot is ‘for entertainment purposes only,’ according to Microsoft’s terms of use

AI skeptics aren’t the only ones warning users not to unthinkingly trust models’ outputs — that’s what the AI companies say themselves in their terms of service.

Take Microsoft, which is currently focused on getting corporate customers to pay for Copilot. But it’s also been getting dinged on social media over Copilot’s terms of use, which appear to have been last updated on October 24, 2025.

“Copilot is for entertainment purposes only,” the company warned. “It can make mistakes, and it may not work as intended. Don’t rely on Copilot for important advice. Use Copilot at your own risk.”

A Microsoft spokesperson told PCMag that the company will be updating what they described as “legacy language.”

“As the product has evolved, that language is no longer reflective of how Copilot is used today and will be altered with our next update,” the spokesperson said.

Tom’s Hardware noted that Microsoft isn’t the only company using this kind of disclaimer for AI.  For example, both OpenAI and xAI caution users that they should not rely on their output as “the truth” (to quote xAI) or as “a sole service of truth or factual information” (OpenAI).

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