Nick
Noone

The Man Who Unified the Data, Twice

Before Peregrine had a name, Nick Noone had already done the hard part once. At Palantir Technologies, as head of the company's US Special Operations Command business unit, he built the platform that gave 18,000 military personnel across six continents a single, coherent view of what was happening in the field. The system helped coordinate counter-terrorism operations in the Middle East, including efforts to locate and track ISIS members. Data that had been scattered across agencies, classifications, and time zones suddenly spoke one language.

Then he went to do it for local cops.

The gap between what military intelligence could access and what a detective in a mid-sized American city could pull up - that gap was Nick Noone's founding insight. Patrol officers, dispatchers, investigators, and emergency managers were all drowning in disconnected records: body camera footage that couldn't be cross-referenced with dispatch logs, RMS systems that didn't talk to anything else, inter-agency data locked behind incompatible formats. The information existed. Nobody could use it.

Noone co-founded Peregrine in 2017 with Ben Rudolph, another Palantir alumnus. The pitch was direct: build a unified data layer for public safety that works the way real investigations actually work - across sources, across time, across agencies - with privacy and civil rights baked in, not bolted on afterward. "The world has enough data," Noone has said. "But it needs a way to activate its data to inform critical decisions at crucial moments."

That thesis, quietly validated over seven years of selling into one of the hardest enterprise markets in existence - government procurement - became the engine of something much larger. In March 2025, Sequoia Capital led a $190 million Series C at a $2.5 billion valuation. Peregrine had become a unicorn. Its platform now covers agencies responsible for the safety of more than 80 million Americans.

The Palantir Years

Noone was Palantir's first strategy and operations hire - employee zero on a team that would eventually touch some of the most sensitive data environments on the planet. That particular seat gave him a view of the whole organization before he carved out his own vertical. When he moved into the SOCOM role, he wasn't inheriting a working product. He was building the thing people would actually use in the field.

The experience of deploying intelligence tools in active conflict zones - where the cost of bad data or slow data is measured in lives - shapes the way Noone thinks about software. Speed and accuracy aren't features to optimize. They're the minimum viable specification. That philosophy runs through Peregrine's architecture: real-time data, not batch processing; actionable analytics, not dashboards that require an analyst to interpret.

Stanford: Economist, Statistician, Gymnast

The analytical precision that defines Noone's product work has a backstory. He studied economics at Stanford, then stayed for a master's in statistics - the combination that quietly distinguishes the data engineers who understand what questions are worth asking from those who can only answer questions they're given.

At Stanford he also competed as a gymnast at the national level. Two national championships. Four All-American designations. In gymnastics, the margin between first and third is measured in tenths of a point and fractions of a second. You internalize a specific relationship with precision that doesn't leave you. Coaches talk about "training the mind to see the error before the body makes it." That is, in a fairly literal sense, what Peregrine does for law enforcement agencies: surface the pattern before the situation escalates.

Building Peregrine

The public safety technology market is a peculiar place. Procurement cycles are long. Customers are skeptical - often rightly so - of vendors promising transformation. The political stakes around law enforcement data are high. Privacy advocates, civil liberties organizations, and community groups all have legitimate questions about who sees what and how it gets used.

Noone's answer to that landscape wasn't to avoid the complexity. Peregrine's platform is designed with permission controls and civil rights protections as core infrastructure, not afterthoughts. The company's pitch to law enforcement agencies includes how the technology helps build community trust through transparency - a framing that distinguishes it from competitors whose data products have drawn scrutiny for opacity.

The platform covers the full stack of public safety operations: law enforcement, corrections, fire-rescue, EMS, emergency management, and 911. For each domain, the value proposition is the same - stop managing data in silos, start making decisions from a complete picture. Peregrine handles the linking logic, the entity relationships, the cross-agency coordination that previously required either manual labor or expensive custom integration projects.

The tech stack reflects where Noone came from. Elasticsearch for search. Neo4j for the entity relationship graphs that power investigation support. Apache Kafka for the real-time data streams. Kubernetes and AWS GovCloud for the infrastructure compliance requirements that government contracts demand. It is, under the hood, a serious distributed systems operation - the kind of architecture that reflects both Palantir's influence and the demands of serving agencies that cannot afford downtime during emergencies.

The $190M Moment

When Sequoia led Peregrine's Series C in March 2025, it wasn't a surprise to anyone who had been watching the company's trajectory. Forbes had named Peregrine a Next Billion-Dollar Startup in 2024. The company had built a real revenue base across a market that had historically resisted outside technology vendors. The $190 million round at $2.5 billion validates a thesis that Noone had been executing against quietly for seven years: that the most important software problems in American public safety are not political questions, they are engineering questions, and they have answers.

Noone has indicated plans to expand beyond US law enforcement - into the Canadian market and into adjacent sectors including healthcare and financial services - the same data unification problem in new contexts. The core platform capability is domain-agnostic. What changes is the regulatory environment, the data types, and the customer. The underlying architecture for linking disparate sources, surfacing entity relationships, and making real-time data actionable is the same technology.

Four hundred employees. Two hundred and fifty million dollars raised. Eighty million Americans covered. The gymnast who learned to see errors before they happened is watching a much larger competition.