Tech
Prepared, which wants to ‘revolutionize’ emergency 911 calls, raises $27M
A company that claims its tech can “revolutionize” emergency calls has raised $27 million in a Series B round led by Andreessen Horowitz.
The company, Prepared, enables 911 dispatchers to get a caller’s real-time GPS location if their phone supports it. Via Prepared, dispatchers can also receive and respond to texts and images, and — on iPhones with Apple’s Emergency SOS Live Video feature — answer a video call.
Prepared co-founder and CEO Michael Chime claims that the platform can give operators valuable context they wouldn’t otherwise have.
“The goal of our technology is to reduce the burden of each individual call so that emergency response can move faster,” Chime told TechCrunch. “If we can save even a few seconds on a given 911 call, we want to do that.”
Nationwide, a number of 911 centers are landline-bound, struggle to locate callers, and can’t process SMS or photos. That’s despite a two-decades-old effort, Next Generation 911 (NG911), to modernize the more than 5,500 emergency call centers in the U.S.
NG911 is internet-based, and capable of receiving multimedia and more accurate caller info. However, deployments have only reached about 56.2% of the U.S., according to consulting firm Frost & Sullivan.
Launched by Chime, Dylan Gleicher, and Neal Soni in 2019, Prepared initially focused on a single type of emergency response: school shootings. The trio, who grew up near the sites of devastating school shootings, including Sandy Hook Elementary, dropped out of Yale together to build a public safety app for school administrators.
A year in, Chime, Gleicher, and Soni realized there was a larger customer segment — 911 call centers — that could benefit from Prepared’s tech. So they pivoted the company.
Today, Prepared offers a web-based platform that shows dispatchers a running transcript of calls. It uses AI to pull out potential items of importance, like addresses and descriptions of emergencies, even translating texts for dispatchers where necessary.
Prepared recently launched a tool that lets dispatchers chat with a Spanish speaker using an AI-generated voice. Prepared transcribes and translates the dispatcher’s speech, and then reads the translation aloud over the phone; Chime claims that this can reduce the need to conference with a third-party translator, which is the typical procedure with non-English callers.
“With a growing non-English speaking population, especially in larger cities, this has been a high-priority request from agencies,” he added, “which otherwise depend on language translators that can sometimes take several minutes to join a call after a request.”
Minutes shaved off an emergency response could make a difference. According to U.S. regulators, thousands of lives could be saved each year by reducing 911 response times by just a minute.
But AI translation and Prepared’s other AI-powered features also come with risks. AI often gets summaries wrong. And it’s been found to transcribe speech from some speakers more accurately than others. One recent study showed that speech recognition systems from leading tech companies were twice as likely to incorrectly transcribe audio from Black speakers compared to white speakers.
Chime notes that Prepared’s AI features are optional — the company’s video, GPS location, and texting capabilities are free for 911 centers. But he also argues that, on the whole, AI can help process dispatcher calls faster and more accurately.
“We have pioneered the use of AI in public safety to synthesize data and make it actionable,” he said. “Prepared’s summarizer allows dispatchers to read short AI-generated summaries of incidents rather than listening to minutes of call audio or reading lengthy notes. And we believe that our translation feature will prove crucial in enhancing accessibility for Spanish speakers while simultaneously improving response times for Spanish-speaking calls.”
Prepared, which has deals with close to 1,000 public safety agencies across 49 states, plans to put the cash from the Series B toward product R&D and go-to-market efforts. Prepared will also step up hiring, with the goal of adding 20 staffers to its 50-person, New York-based workforce by the end of the year.
“We’ve only just tapped the surface when it comes to the potential of unlocking critical citizen data,” Chime said. “We’re moving toward a world where Prepared as a platform connects and optimizes the end-to-end workflow from the second a call comes in to when a field responder is on scene.”
First Round Capital, M13, and undisclosed angel investors also participated in Prepared’s Series B. It brings the company’s total raised to $57 million.
Tech
Passionfroot raises $15M to expand its B2B creator marketplace to the US
Passionfroot, a German startup building a marketplace connecting B2B creators with brands, said on Wednesday it has raised $15 million in a Series A funding round led by Insight Partners.
Rebecca Liu-Doyle, managing director at Insight Partners, said Passionfroot is placed well at a time when creators are specializing as AI companies look for more visibility.
“Passionfroot has the perfect dynamics on both sides to warrant a true marketplace for B2B creators. On the demand side, there is increasing consumerization of the way B2B brands go to market. That’s a product of, in part, AI technology requiring evangelism, narrative building, and education. On the supply side, there are people who have real expertise, understand a market deeply, and want to create quality content,” she told TechCrunch over a call.
With the funding, the Berlin-based startup’s co-founder and CEO, Jen Phan, is moving to New York, where Passionfroot is opening an office to expand its U.S. operations. The company is also opening an office in São Paulo, and expanding its current headcount of 15 employees.
As AI makes it easier to build products, companies are focusing on using creators to improve brand recall and recognition, Phan said.
“Every head of marketing or growth leader I’m talking to is saying really the same thing: AI is commoditizing software and flooding every category with new products, features, and launches. It’s incredibly crowded and noisy. That is why B2B buyers are going to channels like LinkedIn, a creator’s Substack, or a podcast on YouTube to discover new products and tools,” she said.
Phan said over the last year, the company increased its revenue by 13 times, and onboarded clients such as ElevenLabs, Figma, Replit, Framer, and Gamma.
Since its last fundraise in 2024, the company has released an AI agent called Zest, which helps brands create, execute and monitor the performance of campaigns. Passionfruit claims Zest can also help companies find suitable creators both inside and outside the platform that are suited to its marketing strategy.
The startup says it uses a proprietary creator graph based on data about reach and performance from thousands of campaigns. There’s also a wallet that companies can use to pay creators across the globe, and measure their expenditure.
Passionfroot claims it has paid at least $10 million to creators on its platform in the last 18 months.
The company says it is working on helping its clients measure how a campaign is impacting AI citations, and how their brand appears in AI-powered answers. The startup is also planning to build AI features for creators, such as helping them with monetization tips and content ideas.
The funding comes as creator platforms like Substack and Beehiiv move to help creators find better monetization opportunities. Beehiiv launched a new community and ad marketplace last week, and Substack has introduced subscriber-only perks within newsletters.
Passionfroot’s Series A also saw participation from existing investors Creandum, Supernode Global, and s16vc. The company has raised more than $21 million so far.
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Tech
Cascade raises $3.5M to help construction firms find and win projects
Cascade, a startup building a platform to help architecture, engineering, and construction firms find and win projects, has raised a $3.5 million seed round from Andreessen Horowitz Speedrun, Ada Ventures, and Snowball VC.
Launched in 2025, Cascade is a result of its founders, Hannia Zia and Joana Ferreira, witnessing firsthand the difficulty construction businesses face with predictably securing work.
“My mother worked in a company that sold materials to construction companies, and my uncle built mansions in the Middle East. They’re incredible at their craft but just don’t have access to the right tools to get more work,” Ferreira told TechCrunch. And Zia recalled the time her father tried starting a construction business back in her native Pakistan: “He just couldn’t get enough projects to sustain himself.”
Zia describes the current process of finding construction projects as a “constant treasure hunt,” with firms having to log into each U.S. state, city, district, county, and federal agency’s portals. “So if you’re really good at building suspension bridges, you have to find all of those opportunities across these disparate portals.”
Cascade aims to help architecture, construction, and engineering firms on this front by tracking ongoing and upcoming projects, and then using prior tender data to predict which developers are likely to win the deals.
Here’s how the platform works: A company signs up to the platform, and then Cascade uses AI tools to determine which projects they have the best chance of winning. It also predicts what projects are coming up, using different signals and data points across U.S. states, local districts, private contracts, and federal agencies. For example, if a state announces a $100 million affordable housing grant, Cascade will monitor which developers won the grant the last time it was announced.
“We connect that data, and we tell our customers: ‘Most likely one of these five developers will win this newly announced grant, so go start talking to them to win projects,’” Ferreira explained.
The duo applied to a16z’s Speedrun last September. They said the pressure to do well on demo day and being around the “brilliance” of other founders helped the company sign contracts with firms that have built the JFK and La Guardia airports, Four Seasons hotels, and some data centers. “Speedrun gave us visibility and a stamp of approval to close big deals,” Zia said.
The startup will use the fresh cash to go to market, host industry events, and hire more engineers.
Other startups in this area include GovWin IQ and ConstructConnect, but Ferreira argues Cascade is a bit more AI-native than these platforms.
“Every time a customer wins a bid, they give feedback, so the system keeps getting smarter. Over time, we’ll have a complete map of the industry that our AI can traverse to predict the best projects and leads for each customer,” she said.
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Tech
If you pay a hacker’s ransom, chances are that they’ll come back for more
Governments have long warned not to pay a hacker’s ransom demands, arguing that doing so only lets criminals profit from their cyberattacks and funds the next one. There’s also another reason: The hackers are unlikely to leave you alone if you pay up once, and many will come back demanding more.
In a report published Wednesday, cybersecurity giant Proofpoint said it surveyed 953 companies and found that over one-third of companies that paid a hacker’s ransom were hit with a second extortion demand. The findings underscore the long-held understanding among security researchers and network defenders that it’s impossible to negotiate in good faith with an extortion racket because there’s no incentive for the other side to actually walk away.
Proofpoint’s data shows that ransomware attacks and extortion attacks have evolved from a single transaction where hackers would get paid once and move on, into an effort using multiple forms of leverage, such as retaining stolen data under the threat of publicly releasing it.
While hackers have claimed in the past that they will delete or destroy the victim’s stolen data, past incidents have shown that not to be the case.
Last month, a hack at market research firm Klue exposed data belonging to its customers, including several cybersecurity firms. The company said it struck a deal with the hackers, who claimed to have deleted the data, but the company later conceded that a separate hacking group swiped a sample of the company’s stolen data, leaving its customers exposed to potential future extortion demands.
A similar situation befell Change Healthcare in 2024, after a Russian-speaking ransomware gang stole the health and medical data of the majority of people in America, some 192 million people. Amid a dispute between the hackers and their affiliates (criminal groups often subcontract out attacks), Change Healthcare paid separate ransoms to both groups of criminals to keep the sensitive medical data off of the internet.
Security researchers have long suspected that ransomware gangs and extortion rackets will keep hold of the victim’s stolen data, even after a payment is made. U.K. law enforcement confirmed this during their takedown efforts targeting the prolific LockBit ransomware gang in 2024. Police said that they found victims’ stolen data stored on LockBit’s servers long after they had paid the ransom.
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