Skip to main content

Aeon

Category: AI Safety

An AI-powered platform for law enforcement that automates the generation of detailed police reports by analyzing audio and video from body-worn camera (BWC) footage. Aeon was founded in 2025. The company is led by George Cheng. Based in San Francisco, USA. Team size: 2-10. Total funding raised: $2.7M. Latest round: Seed. Key investors include ["Y Combinator","AME Cloud Ventures","Webb Investment Network","Soma Capital"].

Founded
2025
Headquarters
San Francisco, USA
Team size
2-10
Total funding
$2.7M

Value proposition

Drastically reduces the administrative burden on officers—who typically spend up to 40% of their time on paperwork—allowing them to remain in the field while ensuring more consistent and objective incident documentation.

Products and solutions

["AI Report Generation Engine (Multimodal audio/video analysis)","Automated Evidence Summarization Tool","Hardware-Agnostic Bodycam Integration Layer","Law Enforcement Case Management Workflow Automation"]

Unique value

Founded by MIT researchers who dropped out to build a software-first, hardware-agnostic AI layer that competes directly with legacy hardware giants like Axon by focusing on superior multimodal LLM accuracy.

Target customer

Municipal police departments, sheriff's offices, and state law enforcement agencies.

Industries served

["Law Enforcement","Public Safety","Government Technology (GovTech)","Legal & Criminal Justice"]

Technology advantage

Utilizes proprietary multimodal AI models specifically trained on law enforcement jargon and high-stress environmental audio to minimize 'hallucinations' and produce court-ready documentation from raw field data.

How they differentiate

Aeon differentiates through a hardware-agnostic approach, allowing police departments to use their AI software with any existing bodycam brand, unlike legacy providers that lock customers into proprietary hardware ecosystems. Their technical edge lies in multimodal LLMs specifically tuned for high-stress, noisy law enforcement environments to ensure court-ready accuracy.

Main competitors

["Axon (Draft One)","Truleo","JusticeText","Mark43"]

Key partnerships

["Y Combinator (W24 Batch)","AME Cloud Ventures","Webb Investment Network","Heber City Police Department (Pilot Partner)","Summit County Law Enforcement Agencies"]

Notable customers

["Heber City Police Department","Summit County Law Enforcement Agencies","Wilton Police Department (Maine)","Durand Police Department","Hanford Police Department","Caldwell Police Department","Amery Police Department","Isle of Palms Police Department"]

Major milestones

["Accepted into Y Combinator Winter 2024 (W24) batch","Rebranded from Code Four to Aeon in 2024","Raised $2.7M Seed funding led by high-profile Silicon Valley investors","Successfully deployed pilot programs with municipal police departments in Utah"]

Growth metrics

Currently in active pilot phases; product aims to reduce officer administrative time by up to 40%.

Market positioning

Early-stage disruptor and 'software-first' challenger in the GovTech and Public Safety sector.

Geographic focus

United States (Initial focus on municipal and county-level law enforcement agencies in Utah and California).

Patents and IP

No registered patents publicly disclosed as of latest update; proprietary AI models and scoring heuristics are treated as trade secrets.

About George Cheng

George Cheng is a former MIT researcher and Regeneron International Science and Engineering Fair (ISEF) winner. He dropped out of MIT's Applied Math and Computer Science program to co-found Aeon (formerly known as Code Four). He has a background in AI research and is focused on leveraging technology to automate administrative burdens for law enforcement.

Official website: