What It Takes to Clear a Million Crimes a Year with Flock Safety's CEO

Episode Summary

Executive Summary: Garrett Langley explains how Flock Safety evolved from a neighborhood license-plate camera built to solve a gun theft into a real-time public-safety platform used by thousands of U.S. cities and many enterprises. The conversation covers policing as an information-and-response problem, Flock’s drones, 911 integration, privacy and constitutional guardrails, crime trends, and the company’s future focus on prevention and reducing incarceration.

Main Topics: Origin story: solving a gun theft with neighborhood cameras (Priority: 5/5): Langley recounts how a car break-in and police inaction led him to build a camera that tracked every vehicle entering his neighborhood, which then helped identify a stolen-gun suspect and became the seed of Flock Safety. Public safety as real-time orchestration (Priority: 5/5): Flock’s current product is framed as an operating system for city safety: integrating 911 calls, cameras, drones, and AI to shorten response times and solve crimes while they are unfolding, not after the fact. Policing model, collaboration, and clearance rates (Priority: 5/5): The discussion emphasizes that U.S. law enforcement is fragmented across local agencies, making data sharing hard; Flock helps coordinate across jurisdictions and improve clearance rates, which Langley argues matter more than headline crime rates. Privacy, civil liberties, and legal guardrails (Priority: 4/5): They debate surveillance concerns, the legality of license-plate reading, retention limits, auditability, warrants, and how to balance safety with privacy through explicit legislation rather than ad hoc norms. Drones as an asymmetry-breaking tool (Priority: 5/5): Flock’s drones are positioned as safer, faster, cheaper alternatives to helicopters for pursuits, 911 calls, and search-and-rescue, while also addressing criminal drone use in neighborhoods and prisons. Enterprise security and organized theft (Priority: 4/5): Flock’s business extends beyond municipalities into retail, healthcare, logistics, and executive protection, where it helps prevent theft, monitor employee safety, and investigate increasingly sophisticated organized resale and freight fraud. Hardware economics, supply chain, and competition (Priority: 4/5): Langley discusses the difficulty of hardware: long forecasting horizons, component shortages, field maintenance, and the capital intensity of manufacturing and installation, while also describing competition with Motorola, Axon, and emerging VC-backed rivals.

Key Arguments: Most crime is opportunistic, not evil; better tools and faster response can deter or prevent it. Clearance rates matter because solving crimes quickly changes behavior and strengthens deterrence more than simply counting crime incidents. U.S. policing is uniquely fragmented; real-time cross-agency data sharing is a major unlock for investigations. Drones can replace expensive and dangerous helicopter responses for many incidents, improving speed and safety. Safety systems should be built for communities, not only individual houses or properties, because crime affects neighbors and entire areas. Privacy concerns are real, but can be addressed with data retention limits, audit logs, warrants, and legislation governing use. Municipal and enterprise customers need different products and workflows, which makes hardware and product management especially hard. The best public-safety policy is nuanced: use advanced tech aggressively for serious crimes, but constrain it for minor offenses. The long-term goal should be fewer crimes and fewer people entering prison, not maximizing arrests or incarceration. Prevention matters as much as detection; Flock wants to move upstream into keeping people out of crime in the first place.

Data Points: Flock deployment: 6,000+ cities - Flock is now deployed across more than 6,000 American cities. Population coverage: Well north of 50% of America - Langley says Flock covers more than half the U.S. population. Annual crime clearances helped: Just north of 1 million crimes last year - He says Flock helped clear over a million crimes in a year. 911 response time example: 7.5 minutes - Average 911 response time in a Tennessee town before drone deployment. Drone response time example: 68 seconds - Same Tennessee town’s Flock drone reaches the scene much faster than officers. Attempted homicide response: About 17 minutes - Example where a 911 call led to identification and arrest in roughly 17 minutes. Human trafficking case: 76 people arrested across 4 states - Large multi-state investigation organized using Flock. Missing alerts aided: Just over 1,000 Amber and Silver Alerts - Annual cases helped cleared through the system. City count in U.S.: About 17,000 cities - Used to frame how distributed the U.S. local law-enforcement market is. Data retention: 7 days for live video, 30 days for LPR data - Typical retention settings discussed as privacy guardrails. Virginia retention law: 21 days - Langley cites Virginia’s legislative framework as a sensible model. Typical municipal cost: About $20 per citizen per year - Estimate for a full safe-city platform deployment. Corporate segment revenue: North of $100 million ARR - Flock’s enterprise business is described as a major and fast-growing segment. Industrial scale: 77 permits a day last year - Used to illustrate the scale of Flock’s field-installation and hardware operations. Speed/pursuit capability: 150-175 miles per hour testing threshold - Camera performance had to be validated at very high vehicle speeds to win some deals. Drones per city: About 12 for a city like San Francisco - Estimate for drone coverage requirements in a dense urban area. Drone coverage: 30 square mile radius - Average drone coverage area cited by Langley. Busy drone utilization: 90 hours a week - Describes how heavily some drones are used in active jurisdictions. Hardware maintenance: Mechanical part fails after 100,000 to 200,000 uses - Used to explain predictive maintenance and field-service planning. Retail theft example: Nearly $1 billion - Walmart’s reported theft losses last year, used to show scale of organized retail crime. Market concentration: Three main competitors - Motorola Solutions, Axon, and Flock are framed as the main players in public safety tech. Fortune 5 customer example: $100,000/year - A very large company with only a few physical campuses can be a small-revenue customer compared with a multi-site retailer.

Pivotal Quotes: "You don't wind up policing where crime has happened historically. You end up policing where crime is happening. Right now, in real time." — Garrett Langley: He summarizes Flock’s core philosophy: real-time, not retrospective, policing. "The majority of criminals, let's call it 99% of criminals, are not evil people. ... It's mostly opportunism." — Garrett Langley: Langley argues that improved tools and prevention can redirect behavior because most crime is opportunistic. "If we want to convince that 16-year-old to not be a criminal, there does need to be jobs ... and if you do wind up on that path, how do I get you back on track as fast as possible?" — Garrett Langley: He closes by framing Flock’s future as prevention and second chances, not just enforcement.

Implications: Flock’s model points toward a more data-driven, real-time public-safety stack. If successful, cities will use faster response, better coordination, and tighter oversight to reduce crime while limiting overreach and moving upstream toward prevention.