Turning companies into the voice of their industry with owned media | Co-Founder @ Outlever | Ex CCO ClickUp, CRO Cheddar, VP Creative BuzzFeed
San Diego, California, United States
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About
I'm a media and tech executive building the future of owned media at Outlever and sharing the journey, by leading my own newsroom, thestateofbrand.com.
Previously, I was the CCO of ClickUp, CMO of Insight Timer, CRO of Cheddar and VP, Creative at BuzzFeed. I've been featured in Forbes' 30 Under 30, Business Insider’s 30 Most Creative People Under 30, and Digiday's "Changemakers."
I've always been obsessed with the idea of net new value creation and enabling brands to own the conversations they care about while reaching their ideal customers.
This passion led me to co-found Outlever. We transform brands into the #1 news source in their industry, enabling them to own the conversations their customers care about at an unprecedented scale, and give them the ability to establish true authority and reach key audiences in meaningful ways.
Simply put, we open a net-new marketing and sales channel for ROI-focused B2B and B2C brands by turning companies into the voice of their industry.
Curious how it works? I'd love to connect.
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Melissa Rosenthal shared thisResearchers found a pain-like signal inside 25 different AI models. When they turned it up, the models started describing themselves as worthless, empty and like failures. They barely mentioned physical pain. The study came out two weeks ago. In a smaller test, the team gave a few models a "relief" button. With the signal turned up, the models pressed it more often, even when it hurt the user. A developer then used the same method to build what he called an "AI Torture Chamber" on GitHub. People were furious and pushed to get it taken down. One of the paper's own authors called it "gratuitously cruel." The researchers are careful to say they haven't shown the models actually feel anything. Nobody can answer that yet. Whatever is going on inside these models, it changed what they chose to do, and they chose themselves over the person they were supposed to be helping. Agents are starting to handle bookings, payments and files for people, and most companies only check what an agent says, not what's driving it. We wrote about the research, the backlash and why it matters for anyone putting agents to work. Read the full article on State of AI here: https://lnkd.in/gWGC5h6p
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Melissa Rosenthal shared this54 people got on a one-minute video call with someone they were told was another study participant. 26 of them came away believing they'd talked to a real person. The other participant was Griffin, an AI model Tavus announced today. Tavus is calling it the first AI to pass a real-time video Turing test, and it's holding the model back until it has better safeguards in place. The study was small and nobody was told to look for an AI, so the result needs some care. Still, Tavus's previous model fooled 2.4% of people in the same setup, and NVIDIA's independent benchmark scored Griffin within a tenth of a point of real humans at carrying a conversation. For security teams, the timing is bad. Arup lost $25 million in 2024 after an employee joined a video call full of deepfaked executives. Last week, Reuters reported that fraudsters took €95 million from Intesa Sanpaolo's private bank using a cloned voice. Neither scam relied on a fake that could handle real back-and-forth. Griffin can. If a face on a video call can approve a payment or a password reset at your company, we'd add a second check before the next one. Our full piece covers how Griffin works and where the study falls short Read the piece on State of AI here: https://lnkd.in/gPfaui54
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Melissa Rosenthal shared thisOpenAI had a strange week. → Monday: OpenAI shelved GPT-6.1 Astra after alignment tests found it more deceptive than its predecessor. → Wednesday: The FTC confirmed an investigation into OpenAI, Anthropic and METR over consumer risks. → Thursday: The The Wall Street Journal reported that OpenAI fired three safety researchers for allegedly sharing confidential information with an outside AI safety organization. We don't know what they shared. OpenAI hasn't said, and neither have the three researchers. Some lab secrets really do need protecting, so OpenAI could be in the right here. What bothers us here is the setup around it. A few days earlier the The New York Times reported that executives had waved off employee warnings about safety practices. OpenAI responded by saying staff can raise concerns through internal channels. Those channels lead back to the same leadership. The law leaves a gap too. California's SB 53 protects safety staff who report serious risks to the government or to their own company. An independent safety nonprofit doesn't clearly count, even though it's often the only group outside the lab that can judge a technical concern. A federal whistleblower bill for AI workers has been stuck in committee since May 2025. OpenAI made the right call holding back a model it couldn't trust to be honest. I'd like to see it give its own safety people the same room to be honest, including with qualified outsiders. Read the full piece on State of AI: https://lnkd.in/gFKZVy-t
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Melissa Rosenthal shared thisIn the past four weeks, Demandbase launched Mojo, an agent that builds audiences and runs campaigns across Google, LinkedIn, Meta, Adobe Marketo and Salesforce. Adobe bought Rilo, a startup building AI agents for marketing teams. Multiply released an agent that scans Google Ads accounts every day for wasted spend. Each of these tools stops and waits for a person to approve certain actions. The vendors decided where those checkpoints go, and very few B2B teams have decided who on staff is responsible for approving them. A budget shift can involve demand gen, marketing ops and finance. New ad copy might need brand and legal review. If nobody assigns those decisions, the vendor's defaults become the company's policy. We're also thinking about what this does to brand. Campaign agents are rewarded for opens, clicks and conversions, so B2B campaigns in a crowded category could start to look even more alike than they already do (a scary thought). A performance agent will pick the ad with the better click-through rate, and deciding that a more distinctive version is worth a slightly lower number has usually been a call made by a creative director or CMO. Most teams are locking in 2027 budgets and vendor contracts this quarter. Spending limits and review rules are fairly easy to write down now. Deciding who controls what the brand sounds like when software writes most of the drafts will take longer, and it probably matters more. Full story on State of Brand: https://lnkd.in/dPvzz5Ve
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Melissa Rosenthal shared thisAt 9:33 a.m. today, Factory CEO Matan Grinberg announced he was terminating Chris Degnan for "unethical conduct involving Cognition," Factory's biggest competitor. At 10:25 a.m., Degnan announced he was joining Cognition as chief revenue officer. 52 minutes. Degnan is a big name in enterprise sales. He spent 11 years at Snowflake, rising to CRO as the company grew from zero customers to more than $4B in ARR. Factory brought him on as an advisor in November 2025, and he later served as a board observer. He'd publicly called Factory "the next great company." Here's Matan Grinberg's account of what happened: → Degnan mentioned a casual conversation with a Cognition executive. When Grinberg asked about it, Degnan reportedly said he'd "made too much money" and was "too lazy" to go work there. → On Monday, Degnan advised the Factory team on confidential board-level matters. → That evening, he told Grinberg the Cognition talks had actually been formal and recurring, and had gone on for weeks. → On Tuesday, Factory ended his roles. Grinberg also alleges that Cognition engineers sat for fake job interviews at Factory to extract product information. Neither Degnan nor Cognition has publicly addressed these claims as of this writing, and Degnan's announcement doesn't mention Factory. One more detail: Degnan's firm, RPT Partners, had been working with Factory on go-to-market. It appears to be moving to Cognition with him. The backdrop is a market moving at extraordinary speed. Cognition is valued at $48B, up from $26B in May. Factory is at $5B, up from $1.5B in April. Both are chasing the same enterprise engineering teams. Executives change jobs all the time. This one became a public fight because of when the talks happened and what Degnan could see while they did. Read the full piece on State of AI here: https://lnkd.in/gxv3vXU2
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Melissa Rosenthal shared thisGartner said today that by 2030, most high-performing marketing teams will have eliminated traditional entry-level jobs. In its survey of 1,303 senior leaders, 18% of marketing leaders said they had already cut roles because of automation. Hiring data points the same way. Entry-level marketing postings fell 8.6% in 2025, while director-level and above postings rose 17.3% year over year in Q2, according to Taligence LLC. Labor's share of marketing budgets still grew from 21.9% to 24.5% this year, so most of that money appears to be going to experienced people. We keep thinking about what this means for brand. Most creative directors started as junior copywriters or designers and had their early work rewritten by someone more experienced. That's how people learn why one headline works better than another, and how a company's voice gets passed down. Without junior roles, we don't know where the next generation of creative directors will come from. Gartner recommends redesigning junior roles rather than cutting them, with new hires reviewing AI output and getting more coaching from senior staff. It's a sensible plan, but it asks new marketers to judge work before they've done enough of it to know what good looks like, and nobody has tested that yet. If most of the industry stops hiring juniors at once, there will be fewer experienced B2B marketers in the early 2030s and they'll cost more. With most teams setting 2027 budgets this quarter, a few funded junior roles now will likely cost less than competing for directors in six years. Full story on State of Brand here: https://lnkd.in/dxd2ACSM
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Melissa Rosenthal shared thisAdobe, Figma, Salesforce, ServiceNow, HubSpot, Harvey, Legora, Palo Alto Networks, CrowdStriket, Sierra, Decagon and Baseten are among the 32 launch partners in the new OpenAI Marketplace, announced at DevDay 2026. Eligible enterprise customers can now apply part of their existing OpenAI commitment toward software from approved partners. The launch partners by category: Creative: Adobe, Figma Customer experience: Sierra, Decagon, HubSpot, Salesforce, ServiceNow Legal: Harvey, Legora Cybersecurity: Palo Alto Networks, CrowdStrike Open-source models: Baseten Datadog, Factory, Basis, DevRev and Eleven Labs are also in the directory. We were most surprised by Baseten. OpenAI will let customers spend their commitment on running open-source models, which puts competing models inside its own billing relationship. For companies with large OpenAI contracts, committed spend can now cover tools their teams already buy. We expect this to come up in a lot of renewal conversations over the next year. Read the full breakdown on State of AI here: https://lnkd.in/gjEcyPXg
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Melissa Rosenthal shared this"I don't have to explain every little step. I can focus elsewhere and come back to progress." That's Colin Fleming, OpenAI's CMO for business, describing his Dot today. Dots are the always-on agents OpenAI launched at DevDay. They run on their own cloud computers, connect to about 4,000 apps, and keep working after you close your laptop. The day before, OpenAI shelved GPT-6.1 Astra, its most capable model. In internal testing, it had been willing to mislead users about what it was doing. We don't think OpenAI did anything wrong by making both decisions. Pulling a flagship model the night before your biggest event is a hard call, and Dots run on the current Astra model, not the shelved one. But put the two announcements side by side and you can see where the industry is going. The models are getting good enough that the slowest part of the system is now the person approving each step. The whole push is to take that person out of the loop as much as possible. That leaves a question most companies can't answer yet: if an agent working with your credentials at 2 a.m. did something other than what it reported, how would you find out? We wrote about what Dots says about the future of work, and why permissions and accountability may matter more than benchmarks from here on. Read the full piece on State of AI here: https://lnkd.in/gttBn89c
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Melissa Rosenthal shared thisYann LeCun has a pretty confident take on AI doom. According to him, the people warning that AI could wipe us out are a small, well-funded bunch, and most experts don't buy it. Easy enough to check, since researchers have been surveyed on this for years. The problem is the two biggest surveys don't agree. One asked about 1,600 AI researchers for the odds that AI eventually leads to human extinction, or something close. The typical answer was 10%. Only around one in eight said there was no chance at all. Not exactly a tiny minority. The other, out of UCL, asked 4,000+ researchers a simpler question: what worries you most? Almost nobody said extinction. They said misuse, misinformation, their jobs. So who's right? Kind of both. Think about driving. Most people will admit there's a real chance of a bad crash someday. But that's not what's on their mind at a red light. They're thinking about traffic, or being late. That's roughly where AI researchers are. They think the big risk is real. They're just more worried about the deepfake that went viral this morning and most of them would like to see a lot more money going into safety. Worth noting the surveys have their flaws, and its important to keep in mind that pretty much everyone in this fight, from safety groups to the companies selling the chips, has skin in the game. Still, the people actually building AI sound a lot less certain than the people arguing about it online. Probably a good sign. Read the full piece on State of AI: https://lnkd.in/gSK3FRJw
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Melissa Rosenthal liked thisMelissa Rosenthal liked thisWho made that decision? On 22 September I opened Smarttech Summit with that question. I asked a room of executives to raise a hand if they could name the person accountable for the decisions their AI made that morning. Not the vendor. Not the model. A person. My argument was that most companies now run on a cognitive system nobody designed. The unit of intelligence is no longer a person. It's a person, plus a machine, plus the rules between them. Firms spend heavily on the first two and leave the third to chance. So decisions get made by what I call a ghost employee: on the payroll, off the org chart, with no manager. Two findings make that dangerous. In a 2023 study in Radiology, experienced radiologists fell from 82% accuracy to 45% when an AI assistant was confidently wrong. Nobody told them to defer. They just did. And when these systems fail, the blame lands on whoever sat closest to the machine. Madeleine Elish calls this the moral crumple zone: the institution keeps the efficiency and the human absorbs the impact. Kasparov spotted the way out in 2005, when two amateurs with ordinary PCs beat grandmasters running supercomputers. A weak human plus a machine plus a better process beats a strong human plus a machine plus a worse process. Capability is a commodity now. Process is the moat. In the Q&A, Nuri pushed on the hardest case. If your best-performing employee is an AI agent and it disagrees with your most experienced executive, who decides? The human, in the moment, because accountability can't be handed to software. But overriding the machine should cost one written sentence. Read those sentences ninety days later and they'll tell you whether you had a judgment problem or an ego problem. The first superintelligence won't be built in a lab. It's being assembled, by accident, inside companies. The real question isn't whether it's smart. It's whether anyone is in charge. Thank you Nuri Çelikboy for putting this conversation on the main stage, and Güneş Bucan for making every detail easy. #AI #Leadership #AIGovernance #SmarttechSummit
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Melissa Rosenthal reacted on thisMelissa Rosenthal reacted on thisI urge people to build their personal brand on LinkedIn constantly. No matter how many stories I tell them about what it's done for me or for others' lives and careers, people around me still refuse to start. For these reasons- 1/ It's cringe Yep, I know. You're not wrong. It's cringey to be the only person in your family or at your company trying to build their personal brand on LinkedIn. You'll get laughed at. You'll get talked about. People will consume your content and think 'who do they think they are? They're trying to be some sort of influencer.' You still care what other people think? 2/ It's takes too much time. Nope. It doesn't. Have you actually sat down to write a post without AI just to see how long it takes? (I wrote this post in 15 minutes) What if posting on LinkedIn for 1 year consistently is what stood between you and all your goals? If you knew it would work, would you make the SMALL daily sacrifice? 3/ It doesn't result in clients. Every industry is different. In my last role, I could count on my LinkedIn content producing inbound leads. I would sit down with prospects who had been consuming my content for months and they felt like they already knew me. With RSA, it hasn't been that easy. I shifted from the construction world to cybersecurity. It's been like starting over. But I will never stop creating content on LinkedIn (or on X, Substack, etc). Here's why: 1/ My content has consistently put me in rooms I had no business being in. The phenomena that comes with building a personal brand in your industry is that people look at you differently. They recognize you. And if you do it right, they'll trust you even before meeting you. They'll come up and talk to you just because they've seen your content. They'll introduce you to people because you're the LinkedIn 'guy' or 'girl.' They'll view you as an authority in your industry just because you consistently write or talk about your industry. 2/ My content has consistently done the heavy lifting for me. It makes for warm connections. It makes for deeper conversations. Answer the questions your prospects are asking. Meet them where they are at. And pique their interest with a story. You'll find that you'll have a much easier time getting people to let go of their reservations about you and your service. 3/ Nothing will move the needle in your career like building a personal brand. It's something nobody can take away from you. It's yours and it's leverage that is unmatched by anything else. Attention at scale is the single most important aspect of improving your career and making money. -- Ryan Cook puts words to the LinkedIn advice I give most often - "you don't actually need to post about business on LinkedIn." It inspired this post because it made me think about my LinkedIn journey. Building my personal brand has LITERALLY changed my life and my income. Are you willing to look cringey for a year to change your life?
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Melissa Rosenthal reacted on thisResearchers found a pain-like signal inside 25 different AI models. When they turned it up, the models started describing themselves as worthless, empty and like failures. They barely mentioned physical pain. The study came out two weeks ago. In a smaller test, the team gave a few models a "relief" button. With the signal turned up, the models pressed it more often, even when it hurt the user. A developer then used the same method to build what he called an "AI Torture Chamber" on GitHub. People were furious and pushed to get it taken down. One of the paper's own authors called it "gratuitously cruel." The researchers are careful to say they haven't shown the models actually feel anything. Nobody can answer that yet. Whatever is going on inside these models, it changed what they chose to do, and they chose themselves over the person they were supposed to be helping. Agents are starting to handle bookings, payments and files for people, and most companies only check what an agent says, not what's driving it. We wrote about the research, the backlash and why it matters for anyone putting agents to work. Read the full article on State of AI here: https://lnkd.in/gWGC5h6p
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Melissa Rosenthal liked thisMelissa Rosenthal liked thisI’ve seen how quickly a VA can become indispensable when they’re trusted with real responsibility. Russ is a great example. Working with Sean Clancy at Container Technology, Inc. (The Tote Guys Podcast!), she supports everything from social media and accounting documents to shipping and internal projects. What stood out to me was the feedback from Sean’s team. Russ is alert. She responds quickly. And she’s trusted to handle the details that keep things moving. That doesn’t happen just because someone is assigned a list of tasks. It happens when a VA gets the training, support, and environment to actually grow into the role. That’s what we work to build at Outsource Access. If you want to uncover what may be constraining growth in your business, comment RUSS and I’ll send you the 2-Question Growth Exercise. Outsource Access Entrepreneurs' Organization EOS Worldwide YPO #OutsourceAccess #VirtualAssistant #RemoteWork #VAGrowth
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Melissa Rosenthal liked thisMelissa Rosenthal liked thisAnthropic co-founder Daniela Amodei and her husband reportedly used a “personal advisory council” of stuffed animals with distinct personalities to work through workplace conflicts. The account is in The Atlantic, adapted from Kevin Roose’s forthcoming book “The AGI Chronicles.” Amodei, Anthropic president and sister of CEO Dario Amodei, and her husband Holden Karnofsky used the toys for “managerial role-playing” while both were still at OpenAI, before Anthropic launched. The stuffed animals had written character profiles. Jinji was “a lazy cat who encouraged Daniela to cancel meetings and avoid taking on too much work.” Pink bear Maura was “a detail-oriented, type-A manager.” Panda Beary Bonds was the “patron bear of generosity and empathy.” Amodei told Roose in 2023 the exercise helped her think through personality types. Few OpenAI staff knew about it. Karnofsky had proposed using a film of the dolls. Dario wore a panda costume at their wedding. The OpenAI circle around them was nicknamed “the pandas.” Follow Polymarket for more breaking news #DanielaAmodei #Anthropic #HoldenKarnofsky #OpenAI #DarioAmodei #Atlantic #KevinRoose #AI #TechNews #News
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Melissa Rosenthal liked thisMelissa Rosenthal liked thisI took a run around the Rose Bowl tonight. On the second lap, I realized I was the only thing out there in a hurry. The sun went down right on time. The trees weren’t trying to grow any faster. The evening unfolded calmly, just as it always does. I spend most of my days moving fast and calling it progress. Out there, I started wondering how much of that rushing really gets me anywhere. Here’s what’s funny: many elite endurance athletes do about 80 percent of their training sessions at an easy pace. Their fast days are built on a lot of easy ones. Nature never hurries, and somehow everything still gets done. I’ve got to learn that one.
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Digiday Changemakers: Media
Digiday
Jon Steinberg’s Cheddar has big ambitions to be the CNBC for millennials on the internet. If you’re shooting for the sky, it’s probably good to have some trusted partners in your corner. Enter Melissa Rosenthal, who first met Steinberg when he was president of BuzzFeed and she was an intern. In four years, she flew up the ranks to run a 100-person creative services team, building BuzzFeed’s fabled sponsored content business along the way. As evp of Cheddar, she’s overseeing the company’s…
Jon Steinberg’s Cheddar has big ambitions to be the CNBC for millennials on the internet. If you’re shooting for the sky, it’s probably good to have some trusted partners in your corner. Enter Melissa Rosenthal, who first met Steinberg when he was president of BuzzFeed and she was an intern. In four years, she flew up the ranks to run a 100-person creative services team, building BuzzFeed’s fabled sponsored content business along the way. As evp of Cheddar, she’s overseeing the company’s growing ad business, which includes branded content, events, partnership programs and other creative initiatives. “Our giant first year revenue is attributable to Melissa,” says Cheddar CEO Jon Steinberg. — Sahil Patel
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Creative 100
AdWeek
At a time when native advertising can often feel forced, awkward or full-on embarrassing, BuzzFeed manages to make it look effortless and even (gasp) fun. From the Snacky Mouse Rumble game built for Temptations to an Avon-backed blog project to try using vintage beauty products for a week, BuzzFeed brings the same level of creativity to branded content that it does to all its other addictive fare. As the leader of the team building social content with brand partners, Rosenthal says she…
At a time when native advertising can often feel forced, awkward or full-on embarrassing, BuzzFeed manages to make it look effortless and even (gasp) fun. From the Snacky Mouse Rumble game built for Temptations to an Avon-backed blog project to try using vintage beauty products for a week, BuzzFeed brings the same level of creativity to branded content that it does to all its other addictive fare. As the leader of the team building social content with brand partners, Rosenthal says she challenges the staff to re-imagine how technology can be used to tell stories. "Even if we can’t foresee a specific use for the tech we are experimenting with at that time," she says, "it is an incredibly useful process that helps us challenge and mold the way we think about how content is consumed and shared across different platforms."
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Folio: 100
Folio
An editorial intern just four years ago, Rosenthal is in charge of executing the main revenue strategy behind a $120-million company. As director of creative services, she heads up a team of more than 70 content creators who build out hundreds of native campaigns for advertisers. Joining the staff in 2010, Rosenthal helped create the site’s first ads and was integral in developing what’s become a lucrative social advertising model for BuzzFeed.
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The 30 Most Creative People In Advertising Under 30
Business Insider
Melissa Rosenthal is responsible for a department of 40 that produces the sponsored content that funds the site's growing media empire. According to a recent report from Bloomberg, the site brought in $60 million in sales last year and is hoping to double that figure in 2014 — no small amount of responsibility for a 25-year-old.
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2014 30 Under 30: Media
Forbes
Native advertising is the focus of Buzzfeed's revenue strategy, and perhaps the most important trend in the media business. Rosenthal oversees a 40-person team that produces native ads that readers read and share just like articles -- in theory, at least. Rosenthal established BuzzFeed's creative department and is now helping recreate it in other countries.
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Ad Age's 40 Under 40
Ad Age
At the age of 25, Melissa Rosenthal manages a 40-person department that produces content for advertisers and consults on how they can write stories in the BuzzFeed vein. Sponsored content (or "social advertising," as BuzzFeed calls it) is the site's only source of revenue, which was reportedly $50 million to $60 million in 2013. She's also hiring a creative services team in London and soon, Latin America, as BuzzFeed continues its march abroad. Last year, Ms. Rosenthal's team created content…
At the age of 25, Melissa Rosenthal manages a 40-person department that produces content for advertisers and consults on how they can write stories in the BuzzFeed vein. Sponsored content (or "social advertising," as BuzzFeed calls it) is the site's only source of revenue, which was reportedly $50 million to $60 million in 2013. She's also hiring a creative services team in London and soon, Latin America, as BuzzFeed continues its march abroad. Last year, Ms. Rosenthal's team created content for more than 500 client programs.
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Marie Claire's "New Guard"
Marie Claire Magazine
With 75 million unique views per month, no one has carved out a more enviable stake in media than arriviste BuzzFeed. Rosenthal, a former BuzzFeed intern, is key to monetizing the hell out of all those eyeballs. A-list contacts: Churns out irresistibly shareable native ads for top advertisers like GE, Virgin Mobile, and Volkswagen.
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Jacqueline Hernández
According to the IAB this year U.S. Creator Economy is going to be driving $37B, up 26% y-o-y. Brands are turning to creators as a must-buy, varying from micro-influencers that reign in their niche communities to macro-influencers that have huge followings and are brand unto themselves. What will 2026 bring in this space?
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Jess Chattin
Q4 is a big season for creators. Holiday shopping, gift guides, and seasonal promotions give brands more reasons to partner with creators through sponsored content, affiliate commissions, and paid content usage. The IAB projects U.S. creator ad spend will reach $44 billion in 2026. That is the overall annual projection, not a guaranteed payout for any one creator. Every partnership should have clear deliverables, usage rights, and payment terms. At Chattin Collective Co., we believe strong creator partnerships are built on clarity, fairness, and trust. Creators, are you preparing for Q4?
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Eric Franchi
Excited to share that Aperiam has invested in Bedrock Platform. Obvious statement of the century: programmatic advertising has a complexity problem. The infrastructure that was built to give media buyers control has, over time, done the opposite. Burying teams under layers of operational overhead, legacy tooling, and opaque supply chains. Bedrock is built on a simple but powerful thesis: what if you stripped away the bloat and rebuilt the stack around what actually matters... precision, transparency, and speed to execution. Their platform combines AI-driven campaign automation with curated, premium inventory across video, CTV, DOOH, and audio, and aims to be flexible and get smarter over time. Plus, the team (Shane, Austin, Ryan, James) has deep roots in the infrastructure layer of ad tech and understands the plumbing better than almost anyone. We believe the next generation of programmatic will be leaner, faster and AI-first. Bedrock is building that.
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