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Former Airbnb engineer raises $25 million for AI security platform Teleskope

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The rise of AI has created something of a paradox for security professionals. On one hand, large language models and advances in machine learning mean that it’s never been easier to parse through petabytes of data and craft agents that can spot and correct potential vulnerabilities. On the other, the ability for bad actors to exploit those ballooning piles of data has grown in tandem. So which wins out? 

New York-based Teleskope has raised a $25 million Series A led by M13 to help companies beef up their security amid the cyber-arms race. Primary Venture Partners and Lerer Hippeau, which invested in previous rounds, also participated, bringing Teleskope’s total funding to $32.2 million. 

Founded by Elizabeth Nammour, a former security engineer at Airbnb, Teleskope takes a unique approach of using smaller large language models fine-tuned on specific problems such as detecting sensitive information within code files, rather than funneling everything into one larger model, which Nammour says allows her company to function more nimbly than competitors. “By segregating it into smaller problem sets, we are more accurate, but also faster,” she told me. 

The idea came from Nammour’s work at Airbnb, where she was tasked with corralling the booking platform’s sprawling and highly sensitive data, from home addresses to medical information. As the company barreled forward, it was difficult to keep track of where everything lived, let alone ensuring that it was safeguarded. 

Nammour’s team ended up building proprietary software that could find sensitive data, create privacy controls, and delete it, utilizing early versions of LLMs well before the November 2022 launch of ChatGPT created the global obsession around AI. After she authored a few blog posts about the project, other security teams and venture capitalists reached out to tell her they were frustrated by the available tools on the market, which included AWS Macie, BigID, and Varonis. 

Realizing that only a small percentage of companies had the resources to build out what Airbnb had, she decided to start work on Teleskope, raising her pre-seed round in 2022 while still at Airbnb (though she didn’t start building the software). Some of her angel investors even came from the company’s security team. 

According to Karl Alomar, managing partner at M13, Teleskope’s breakthrough comes from its ability to not only provide companies with visibility on where their sensitive data lives, but also help remediate the issue. That’s where Teleskope’s agentic approach comes in. Security officers can upload their policies, such as what to do with personally identifiable information on Slack or Google Drive, and then Teleskope will not only find where it’s happening, but also delete it. “The solution Lizzy went after was if we’re going to give you all this information, let’s also give you the ability to solve it,” Alomar said. “That totally changes the paradigm of this category.” 

Teleskope has 23 customers and has converted around 85% of pilots into paid customers, according to Nammour, and has grown 600% year-over-year with 29 employees, though the team is quickly growing. “We gave her a term sheet and then by the time we actually closed and sent her the check, she’d already added I think nine employees,” Alomar said. “She moves very fast.”  

Leo Schwartz
X:
@leomschwartz
Email: leo.schwartz@fortune.com

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VENTURE DEALS

–  Vammo, a São Paulo–based clean energy mobility company, raised a $45 million round of Series B funding. Ecosystem Integrity Fund led the round, joined by Construct Capital, 2150, Qualcomm Ventures, Monashees, Maniv, and Endeavor Catalyst.

Mimic Robotics, a Zurich-based robotics company, raised a $16 million seed round. Elaia and Speedinvest led the round, with participation from Founderful, 1st kind, 10X Founders, 2100 Ventures, and Sequoia Scout Fund

Cephia, San Francisco-based multimodal sensing company, raised a $4 million seed round. Radiant Opto-Electronics Corporation and Incharge Capital co-led the round, joined by MetaVC Partners, NRM Partners, and SOSV.

This is the web version of Term Sheet, a daily newsletter on the biggest deals and dealmakers in venture capital and private equity. Sign up for free.



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Khosla-backed Formulary raises oversubscribed $4.6 million seed round for its AI-powered private fund manager software

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Alfia Ilicheva came from the world of public markets, including four years at one of the world’s largest hedge funds, Bridgewater. But when she transitioned over to the private side, including serving as the CEO of an Apollo-backed investment platform, she realized the difficulty of fund administration for operations like private equity and venture capital. Instead of having access to real-time and accurate data like at Bridgewater, which can rely on publicly available information, this new world was filled with manually compiled and fragmented data subject to human error and inconsistent metrics.  “How could it be that hedge funds are so into the future and private capital markets are so backward,” she remembers thinking. 

As private markets explode and AI makes automation increasingly possible, Ilicheva saw an opportunity to build the next generation of fund administration software for everyone from venture capital outfits to PE giants like Apollo. After initially planning to bootstrap the project, which she named Formulary, Ilicheva was introduced to Hari Arul, a partner at Khosla Ventures, who immediately saw the appeal of the idea. Khosla is leading Formulary’s $4.6 million seed round, which Ilicheva says is three times oversubscribed, with participation from Human Ventures, Serena Williams’s venture firm, and others. 

In the red-hot field of private investments, buoyed by the rise of private credit and massively valued companies like SpaceX and OpenAI, fund administration may not be the most alluring area for innovation. But the ability to track investments, returns, and performance—and accurately convey the information to investors, or limited partners—is a necessary foundation. 

The existing options fall into two camps: the service side, or high-touch accounting companies, like SS&C and Citco, or the software side, like Carta. As Ilicheva interviewed general partners and former clients in her user research, she realized that nearly everyone was dissatisfied with the existing options to the point that most turned to shadow fund administration, where they would hire outside firms but keep their own books at the same time. “When you raise a fund, your dream is to generate alpha by investing capital, not redoing someone’s work,” Ilicheva said. 

Ilicheva planned to find a happy medium between the two models by leveraging AI to massively scale up the service approach, creating software for their own in-house accountants, which Ilicheva playfully calls bionic accountants. “They’re really focused on having a grip on the numbers and delivering service, but they’re not manually entering things in an Excel spreadsheet, which has been the industry’s burden for the past decades,” she said.  

The challenge in creating a tech-enabled services company, of course, is scale, with a pure SaaS model able to grow at a much faster clip. When I asked Khosla’s Arul how he thought about the approach, he said the key is to deliver the vast majority of the product through technology: “It’s important for any entrepreneur or any investor to look at an AI-enabled services business and say, the margin of how this business runs looks more like a technology company than a services company.” 

Arul said that while Khosla is not yet using Formulary, which is just now coming out of stealth, he’s optimistic for a future where tedious processes like ensuring data accuracy for LPs can be fully, reliably automated. Ilicheva mentioned one possible future use case for Formulary as drafting LP letters, which Arul wholeheartedly endorsed, along with a portal where investors could communicate directly with the system to understand the value of positions, fund deployment, and future capital calls. “[That] sounds pie in the sky relative to what the reality is today,” Arul said, “But it doesn’t feel out of reach.” 

Leo Schwartz
X:
 @leomschwartz
Email: leo.schwartz@fortune.com

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Joey Abrams curated the deals section of today’s newsletter. Subscribe here.

This story was originally featured on Fortune.com



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Leaders at Davos are obsessing over how to use AI at scale

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  • In today’s CEO Daily: Fortune‘s AI editor Jeremy Kahn reports on the AI buzz at Davos
  • The big story: SCOTUS could upend Trump’s leverage to acquire Greenland.
  • The markets: Jolted by Trump’s renewed tariff threats.
  • Plus: All the news and watercooler chat from Fortune.

Good morning. I’m on the ground in Davos, Switzerland, for this year’s World Economic Forum. As Diane wrote yesterday, U.S. President Donald Trump’s arrival later this week along with a large delegation of U.S. officials eclipses pretty much every other discussion at Davos this year. But, when people here aren’t talking about Trump, they are talking about AI.

At Davos last year, the hype around AI agents was pierced by the shock of DeepSeek’s R1 model, which was released during the conference. We’ll see if a similar bit of news upends the AI narrative again this year. (There are rumors that DeepSeek is planning to drop another model.) But, barring that, business leaders seem to be less wowed by the hype around AI this year and more concerned with the nitty-gritty of how to implement the technology successfully at scale.

On Monday, Srini Tallapragada, Salesforce’s chief engineering and customer success officer, told me the company is using ‘forward deployed engineers’ to tighten feedback loops between customers and product teams. Salesforce is also offering pre-built agents, workflows, and playbooks to help customers re-engineer their businesses—and avoid getting stuck in “pilot purgatory.”

Meanwhile, at a side event in Davos called A Compass for Europe, that focused on how to restore the continent’s flagging competitiveness, AI was front-and-center. Christina Kosmowski, the CEO of LogicMonitor, told the assembled CEOs that to achieve AI success at scale, companies should take a “top down” approach, with the CEO and leadership identifying the highest value use cases and driving the whole organization to align around achieving them. Neeti Mehta Shukla, the cofounder and chief impact officer at Automation Anywhere, said it was critical to move beyond measuring automation’s impact only through the lens of labor savings. She gave specific customer examples where uplifting data quality, improving customer satisfaction, or moving more workers to new tasks, were better metrics than simply looking at cost per unit output. Finally, Lila Tretikov, head of AI strategy at NEA, said Europe has enough talent and funding to build world-beating AI companies—what it lacks is ambition and willingness to take big bets.

Later, I met with Bastian Nominacher, co-founder and co-CEO of process analytics software platform Celonis. He echoed some of these points, telling me that to achieve ROI with AI generally required three things: strong leadership commitment, the establishment of a center of excellence within the business (this led to an 8x higher return than for companies that didn’t do this!), and finally having enough live data connected to the AI platform.

For further AI insights from Davos, check out Fortune’s Eye on AI newsletter. Meanwhile, Fortune is hosting a number of events in Davos throughout the week. View that lineup here. And my colleagues will be providing more reporting from Davos to CEO Daily and fortune.com throughout the week.—Jeremy Kahn

Contact CEO Daily via Diane Brady at diane.brady@fortune.com

This is the web version of CEO Daily, a newsletter of must-read global insights from CEOs and industry leaders. Sign up to get it delivered free to your inbox.



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Stock market today: Dow futures tumble 400 points on Trump’s tariffs over Greenland, Nobel prize

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U.S. stock futures dropped late Monday after global equities sold off as President Donald Trump launches a trade war against NATO allies over his Greenland ambitions.

Futures tied to the Dow Jones industrial average sank 401 points, or 0.81%. S&P 500 futures were down 0.91%, and Nasdaq futures sank 1.13%. 

Markets in the U.S. were closed in observance of the Martin Luther King Jr. Day holiday. Earlier, the dollar dropped as the safe haven status of U.S. assets was in doubt, while stocks in Europe and Asia largely retreated.

On Saturday, Trump said Denmark, Norway, Sweden, France, Germany, the United Kingdom, the Netherlands, and Finland will be hit with a 10% tariff starting on Feb. 1 that will rise to 25% on June 1, until a “Deal is reached for the Complete and Total purchase of Greenland.”

The announcement came after those countries sent troops to Greenland last week, ostensibly for training purposes, at the request of Denmark. But late Sunday, a message from Trump to European officials emerged that linked his insistence on taking over Greenland to his failure to be award the Nobel Peace Prize.

The geopolitical impact of Trump’s new tariffs against Europe could jeopardize the trans-Atlantic alliance and threaten Ukraine’s defense against Russia.

But Wall Street analysts were more optimistic on the near-term risk to financial markets, seeing Trump’s move as a negotiating tactic meant to extract concessions.

Michael Brown, senior research strategist at Pepperstone, described the gambit as “escalate to de-escalate” and pointed out that the timing of his tariff announcement ahead of his appearance at the Davos World Economic Forum this week is likely not a coincidence.

“I’ll leave others to question the merits of that approach, and potential longer-run geopolitical fallout from it, but for markets such a scenario likely means some near-term choppiness as headline noise becomes deafening, before a relief rally in due course when another ‘TACO’ moment arrives,” he said in a note on Monday, referring to the “Trump always chickens out” trade.

Similarly, Jonas Goltermann, deputy chief markets economist at Capital Economics, also said “cooler heads will prevail” and downplayed the odds that markets are headed for a repeat of last year’s tariff chaos.

In a note Monday, he said investors have learned to be skeptical about all of Trump’s threats, adding that the U.S. economy remains healthy and markets retain key risk buffers.

“Given their deep economic and financial ties, both the US and Europe have the ability to impose significant pain on each other, but only at great cost to themselves,” Goltermann added. “As such, the more likely outcome, in our view, is that both sides recognize that a major escalation would be a lose-lose proposition, and that compromise eventually prevails. That would be in line with the pattern around most previous Trump-driven diplomatic dramas.”



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