Code Four GTM brain

Code Four sells AI-assisted report drafting and evidence review software to law enforcement agencies.

category

Law enforcement report automation

market profile

  • text: Police departments generate body camera footage and case records that require substantial manual documentation and review.
  • text: AI-generated police reports face scrutiny over accuracy, disclosure and use in court, so officer review and policy fit are central buying considerations.
  • text: Axon Draft One is an established overlapping product that drafts narratives from body camera audio.

personas

  • title: Police Chief or Sheriff
    pains:
    • Officers spend shift time on reports instead of other duties.
    • The agency must justify new software and safeguard public trust.
  • title: Patrol Officer or Sergeant
    pains:
    • Writing reports after incidents extends administrative work.
    • Supervisors need to verify details against underlying footage.
  • title: Investigations Commander
    pains:
    • Case material is distributed across footage, interviews and records.
    • Searching large evidence collections takes investigator time.
  • title: Agency IT or Records Manager
    pains:
    • New tools must fit existing evidence and records systems.
    • Sensitive case information needs controlled handling and traceable review.

icp

  • text: US municipal police departments and county sheriffs using body-worn cameras are a direct target.
  • text: Small departments with limited administrative capacity and larger agencies with substantial footage volumes can both have a fit.
  • text: Agencies with investigators working across multiple digital evidence sources are candidates for the Insights product.

message pillars

  • text: Give officers time back by reducing report writing.
  • text: Keep officers responsible for reviewing and signing drafts.
  • text: Link claims and findings to underlying evidence for review.
  • text: Unify search across case materials.

objections

  • objection: Could a draft omit or misstate facts?
    response: Require officers to compare drafts with source material, edit and sign; assess accuracy in an agency pilot.
  • objection: Will prosecutors accept AI-assisted reports?
    response: Check local law, prosecutor policy and disclosure requirements before deployment; retain human accountability and source links.
  • objection: Will this work with existing cameras and records systems?
    response: Validate the specific camera and records integrations with the agency before procurement.

competitors

  • name: Axon Draft One
    website: https://www.axon.com/products/draft-one
    why: Drafts police narratives using body camera audio.
  • name: Abel Police
    why: Provides an overlapping police report automation product.

influencers

  • name: George Cheng
    url: https://www.linkedin.com/posts/cheng-george_it-was-an-honor-to-speak-at-the-california-activity-7379625606335848448-GW3S
    why: Co-founder who speaks with police leaders about reporting workload.

keywords

  • AI police report writing
  • body camera report generator
  • police report drafting software
  • body camera evidence review
  • law enforcement case management AI
  • police report source links

voice

  • Officer-centered
  • Direct and practical
  • Accountability-focused

signals

  • text: A department is deploying body cameras or seeking to reduce report backlogs.
  • text: Agency leadership is evaluating AI report-writing policy and officer productivity.
  • text: Investigators face growing volumes of digital evidence and interviews.

pricing

model: unknown

motion

sales_led

channels

  • police conferences
  • LinkedIn
  • agency case studies
  • YC launch
  • SEO

confidence

high

Founders

  • name: George Cheng
    title: Founder/CEO
    role: CEO
    bio: AI/CS + Brain & Cog Sci @ MIT
  • name: Dylan Nguyen
    title: Founder/CTO
    role: CTO
    bio: Founder @ Code Four | Applied Math + CS @ MIT

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