Code Four

Based in San Francisco, Code Four develops artificial intelligence software that modernizes law enforcement workflows by automatically generating police reports directly from body-worn camera footage. The platform processes audio, video, and metadata to create verifiable timelines, verify incident narratives, and surface critical evidence, which reduces administrative desk time for officers by 60 percent. The system integrates directly with existing hardware and software infrastructure provided by major industry suppliers such as Axon and Motorola. Operating as a Y Combinator-backed enterprise, the company utilizes a SaaS business model priced at $50 per officer per month and has processed hundreds of videos from ride-alongs and record rooms. Currently maintaining a core team of three employees while actively hiring for sales and engineering roles, Code Four was founded in 2025 by George Cheng, Dylan Nguyen, and Natnael Kahssay.

High-Level Overview

Code Four is a cutting-edge startup focused on modernizing police workflows by drastically reducing the administrative burden on law enforcement through AI-driven automation. Their platform ingests audio, video, and metadata from officers' body-worn cameras and other sources to automatically generate detailed, legally compliant incident reports, summaries, and briefings within seconds. This automation cuts desk time by up to 60%, allowing officers to spend more time on frontline duties while improving accuracy, transparency, and record-keeping. Code Four serves municipal, county, state, and federal police departments across the United States, operating on a subscription model starting at $30 per officer per month. Their technology integrates seamlessly with existing record management and dispatch systems, enhancing workflow efficiency without disrupting established processes[1][2][3][4][5].

Origin Story

Code Four was founded in 2025 by two MIT dropouts, George Cheng (CEO) and Dylan Nguyen (CTO), who started the company in their dorm rooms before dropping out to focus full-time on building police tech solutions. The idea emerged from recognizing the excessive time officers spend manually transcribing bodycam footage and writing reports, which reduces their availability for community engagement and frontline work. Early traction included securing $2.7 million in seed funding led by AME Cloud Ventures and partnerships with 25 police departments. The founders emphasized building the product with direct input from law enforcement to ensure real-world usability and compliance with security standards like FBI CJIS guidelines[2][3][4].

Core Differentiators

• AI-Powered Automation: Transforms hours of bodycam footage into accurate, comprehensive reports and summaries in seconds.
• Security and Compliance: Adheres to FBI CJIS standards with end-to-end encryption and enterprise-grade infrastructure to protect sensitive data.
• User-Centric Design: Developed with continuous feedback from police officers and administrative staff to fit seamlessly into existing workflows and systems (RMS, CAD).
• Speed and Accuracy: Processes video and audio data rapidly with high accuracy, reducing manual errors and administrative overhead.
• Flexible Integration: Compatible with multiple data sources and police department standards, supporting various document types from summaries to detailed reports.
• Subscription Model: Affordable pricing starting at $30 per officer per month, enabling scalable adoption across departments[2][3][5].

Role in the Broader Tech Landscape

Code Four rides the wave of AI-driven automation and digital transformation in public safety and GovTech, a sector historically slow to adopt advanced technology despite critical needs. The timing is crucial as police departments face increasing demands for transparency, accountability, and efficiency amid budget constraints and public scrutiny. By automating labor-intensive tasks like report writing and evidence processing, Code Four addresses these pressures while enabling law enforcement to focus on community engagement and crime prevention. Their platform also contributes to broader ecosystem improvements by enhancing data accuracy and accessibility, which can support criminal justice reform and public trust. The startup exemplifies how AI can be responsibly integrated into sensitive government workflows with appropriate human oversight[2][3][4].

Quick Take & Future Outlook

Looking ahead, Code Four is poised to expand its footprint by growing its team and onboarding more police departments nationwide. Trends shaping their journey include increasing adoption of body-worn cameras, rising demand for AI-powered workflow tools in government, and heightened focus on transparency and data-driven policing. As AI capabilities evolve, Code Four may enhance features like real-time incident analysis, predictive insights, and broader integration with public safety technologies. Their influence could extend beyond police departments to other emergency services and government agencies seeking to modernize workflows. Ultimately, Code Four’s mission to free officers from paperwork while improving accuracy and transparency positions them as a key innovator in the future of law enforcement technology[3][4][5].