Pax, the Frontier AI Public Safety Company, Cuts Crime 27% in Six Months and Raises $40M Seed From Greenoaks and Benchmark

Pax, an AI-native company that builds real-time intelligence platforms for public safety, announced today a $40 million seed round co-led by Greenoaks and Benchmark – one of the largest seed investments in the history of Latin America.

In its first large-scale deployment, Pax cut violent crimes by 27 percent, doubled police efficiency, and increased public perception of safety by 59 percent – all within six months. Police forces using the platform have since resolved over 2,000 criminal cases, including homicides, armed robberies, and vehicle thefts, across more than 30 cities.

Violence costs Latin America ~3.5 percent of regional GDP, according to the Inter-American Development Bank (around $241 billion in 2025). Phone theft is so commonplace in Brazil that roughly 10% of the population has a phone stolen every year — about two phones every minute, every day. And yet investigation lags behind even the most serious cases: Brazil alone records roughly 40,000 homicides annually and fewer than 4 in 10 homicides are solved, per Sou da Paz Institute. Globally, the average is 63 percent, and in Europe it reaches 92 percent. The data to close that gap already exists. The infrastructure to connect it does not.

Solving crimes is a data problem,” said David Peixoto, founder and CEO of Pax. “We built Pax from the ground up to index real world data and make it actionable in real time. The officer investigates. The officer decides. The platform multiplies their capacity.

Today, investigators still spend most of their time on what AI should do: combing through footage, cross-checking plates, stitching fragments together across disconnected systems. The platform connects cameras deployed across critical points in a city. An AI-powered layer transforms real-world data — vehicles, people, locations, and incidents — into a continuously evolving intelligence graph that delivers investigative leads and real-time alerts. Every query is logged. Every access is attributed to an identified operator improving transparency and auditability.

“Ask Brazilians what they want fixed, and their number one answer is crime,” said Andrew Cohen, Partner at Greenoaks. “For decades, the region’s police departments have lacked both the technology to generate useful data and the capabilities to act on the data they have. When we first backed Pax, we believed they could build the region’s first public safety platform using technology that delivers real-time intelligence. Now, carjackings in Pax’s first state have collapsed, and officers can’t imagine working without it. We believe Pax is building the category-defining public safety company for Latin America, and we are proud to partner with David and the team as they scale it across the region.”

Peixoto scaled Arco into Brazil’s largest edtech and listed the company on Nasdaq – the first Brazilian company to do so. He then co-founded a company called isaac, taking on the financial and management challenges of Brazilian K-12 schools.

The Pax team includes engineers trained at Stanford, Harvard, and MIT, alongside graduates of ITA and USP, Brazil’s leading engineering schools – many of whom left careers at top American technology companies to return and build Pax.

Greenoaks has backed companies including Coupang, Brex, Revolut, Flock Safety, and Anthropic. Benchmark’s portfolio includes Uber, eBay, Instagram, and Snap.

“For decades, violence in Latin America was treated as inevitable,” Peixoto said. “We believe it is unacceptable – and solvable. We are just getting started.”

About Pax Pax is an AI-native public safety company. It is a data platform that connects cameras, police records, and criminal databases into a unified intelligence system that turns fragmented data into solved crimes. Operating across more than 30 cities in Brazil, Pax works with state and municipal governments to help law enforcement resolve cases faster and reduce violent crime. For more information, visit pax.ai.

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