Welcome to Axon's ACEIP US Law Enforcement Transparency Portal
Learn about our Axon Customer Experience Improvement Program (ACEIP) and upcoming ACEIP Basic use cases.
The Axon Customer Experience Improvement Program (ACEIP) enables U.S. Law Enforcement Agencies to actively contribute to the responsible evolution of Axon's public safety technologies. Through this voluntary program, participating agencies securely share transformed data to help improve product accuracy, reliability, and effectiveness while maintaining the highest standards of privacy and data protection. The ACEIP Transparency Portal serves as a public resource outlining each approved use case within the program, detailing what data is used, how it is protected, and the specific benefits it delivers to agencies and the communities they serve.
What is ACEIP?
ACEIP is a voluntary program that allows Axon to use Customer Content in a secure and controlled manner to accelerate Axon's development of technology, such as building and supporting automated features, aiming to increase safety within communities and efficiency in public and workplace safety. Access to Customer Content in Axon Cloud Services, voluntarily shared with us and securely protected, helps us create the best solutions possible.
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Customers can participate in the ACEIP in two ways:
ACEIP Basic
ACEIP Basic
A “limited” improvement program, which uses only transformed or de-identified data via Privacy-Preserving Techniques approved by Customers. No identifiers for the data are retained, e.g., Customer name, Customer ID, etc.
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ACEIP Custom
ACEIP Custom
Enables product improvements that cannot be accomplished with the limitations transformed data in Basic ACEIP. Custom includes copies of certain segments or elements, or full copy of the Customer Content that has not been transformed via a privacy preservation technique. Custom is managed by specific agreements with the Customer.
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Please visit https://www.axon.com/aceip to find more details on the program and participation opportunities.
Our Commitment to Transparency
This Transparency Portal provides information on how ACEIP Basic data is being used when collected from Law Enforcement Agencies in the US. It also provides detailed information on the purpose of such use, privacy preserving extraction technique (if applicable), and relevant data protection practices. As a reminder, participants may withdraw from ACEIP at any time. For more information on ACEIP or to submit a request to withdraw from ACEIP visit https://www.axon.com/aceip.
List of Use Cases
Redaction Assistant Model Training
Redaction Assistant Model Training
Status: Active | Tier: ACEIP Basic | Region: US
April 2026
Customer Content used:
Axon will access a subset of customer videos together with the associated redaction mask information needed to train and evaluate the object detection models. This includes the set of masks that users created, updated, or deleted, and the associated frame-level information needed to interpret those masks
Evidence-Case Matching Quality Evaluation
Evidence-Case Matching Quality Evaluation
Status: Active | Tier: ACEIP Basic | Region: US
April 2026
Customer Content used:
Axon will access the transcriptions generated from your uploaded video and audio evidence, including body-worn camera footage, in-car video, interview room recordings, and other audio/video. For each transcription, the associated date, time, and location will also be accessed. Axon will also access your case information, including case descriptions, case notes, case tags, case status, and the record of which evidence items are associated with which cases. No video, audio, or image files are accessed - only the text transcriptions and case information described above.
Attribute Search User Query Redaction Feedback Loop
Attribute Search User Query Redaction Feedback Loop
Status: Scheduled | Tier: ACEIP Basic | Region: US
March 2026
Customer Content Used:
Axon may access the user’s search query and limited context about the search results. This includes a pseudonymized organization identifier, a pseudonymized user identifier, the sanitized query text, whether the user clicked a result or abandoned the search, the confidence scores associated with returned results, and the date of the search.
Form One User Suggestion Rejection Feedback Loop
Form One User Suggestion Rejection Feedback Loop
Status: Scheduled | Tier: ACEIP Basic | Region: US
March 2026
Customer Content Used:
Axon may access information about each submitted form and the outcome for each evaluated field. The exported data model consists of a pseudonymized Organization ID, pseudonymized User ID, pseudonymized Form ID, pseudononymized Field ID, Entity Type, Error Category, and Date. No raw form content, transcripts, dictation, or field values are extracted, and only categorical outcomes are exported.
Brief One AI Search User Query Redaction Feedback Loop
Brief One AI Search User Query Redaction Feedback Loop
Status: Scheduled | Tier: ACEIP Basic | Region: US
March 2026
Customer Content Used:
Axon may access the user’s search query and limited context about the search results. This may include whether the user clicked a result or abandoned the search, the rank of returned results, the type of result returned, broad category labels associated with the result, a confidence value, and the date of the search.
Differential Privacy Transcript Generator
Differential Privacy Transcript Generator
Status: Scheduled | Tier: ACEIP Basic | Region: US
March 2026
Customer Content Used:
Axon accesses automatically generated transcripts derived from body-worn camera audio recordings. These transcripts may represent full interactions captured during body-worn camera recordings. This use case involves access only to automatically generated BWC transcript text.
This use case does not involve access to raw audio recordings, video footage or images
Measuring success & topics in Axon Assistant (General & Agency Info)
Measuring success & topics in Axon Assistant (General & Agency Info)
Status: Active | Tier: ACEIP Basic | Region: US
March 2026
Customer Content Used:
When a user submits a question to Axon Assistant, the system briefly processes limited request metadata to generate a response. This includes the question text, the channel it was asked in (e.g., General Info or Agency Info), the time of the request, a request ID, a partner ID used only to separate agency data, and a session ID used to group queries from the same session.
Training Discriminator Models to Detect Synthetic Transcripts
Transcript Quality Tool
Training Discriminator Models to Detect Synthetic Transcripts
Transcript Quality Tool
Status: Active | Tier: ACEIP Basic | Region: US
February 2026
Customer Content Used:
Axon uses existing transcript text generated from body-worn camera audio to help build and refine this AI tool. During this process, the tool learns how to distinguish between higher-quality and lower-quality transcripts based on overall patterns, not individual cases or content.
AI Auto-Tagging Shadow Testing Feedback Loop
AI Auto-Tagging Shadow Testing Feedback Loop
Status: Active | Tier: ACEIP Basic | Region: US
February 2026
Customer Content Used:
Axon will access the following information from a completed Auto-Tagging workflow: the body-worn camera transcript associated with the incident (used temporarily and not stored), the list of incident categories available for the agency, the category or categories suggested by Evidence.com, the final category or categories selected by the user, event timing information (including incident time and category selection time), system information such as the model and prompt version used, and an agency identifier, which is immediately converted into a non-reversible internal identifier; Axon will use this data solely to evaluate and improve the quality of AI-generated incident category suggestions.
Audio Alerts Feedback Insights
Audio Alerts Feedback Insights
Status: Active | Tier: ACEIP Basic | Region: US
February 2026
Customer Content Used:
Short transcript snippets associated with Audio Alerts, along with customer feedback provided through thumbs up or thumbs down buttons. This feedback is used only to improve the alert system and is not an evaluation of officer performance, use of force, or decision-making. For example, a thumbs up indicates the alert was helpful or appropriate and a thumbs down indicates the alert was not helpful or did not reflect the situation accurately.
Detect Error Cases of ALPR and SOR
Detect Error Cases of ALPR and SOR
Status: Active | Tier: ACEIP Basic | Region: US
February 2026
Customer Content Used:
Axon will access ALPR data entries from customer database, which contains: (1) images captured by Fleet / Outpost camera, (2) ALPR read result and metrics, (3) user-correction, and (4) state level location of the reads.
Reference Database and End-to-End Quality Improvement
Reference Database and End-to-End Quality Improvement
Status: Active | Tier: ACEIP Basic | Region: US
December 2025
Customer Content Used:
Some database information schemas and tables processed with PPTs to create a dummy database.
Redaction Assistant Model Training Input Signal Analysis
User masks & foundational model insights
Redaction Assistant Model Training Input Signal Analysis
User masks & foundational model insights
Status: Active | Tier: ACEIP Basic | Region: US
December 2025
Customer Content Used:
For each selected Redaction Assistant mask, Axon accesses that video frame and the mask’s coordinates on the video frame.
Detailed Description of Use Case
Transcript Metadata Extraction
Transcript Metadata Extraction
Status: Active | Tier: ACEIP Basic | Region: US
December 2025
Customer Content Used:
Text transcripts generated from BWC recordings for customers participating in Axon’s Customer Experience Improvement Program.
Edit Analysis for Draft One
Edit Analysis for Draft One
Status: Active | Tier: ACEIP Basic | Region: US
August 2025
Customer Content used:
Draft transcripts from your Axon Evidence tenant
Summary of edits and corrections made to the draft transcript
Auto-Transcribe Platform Improvement
Auto-Transcribe Platform Improvement
Status: Active | Tier: ACEIP Basic | Region: US
July 2025
Customer Content used:
Transcripts Customers corrected and their associated evidence audio
Feedback loop for Agencies to evaluate and improve their TASER programs
Feedback loop for Agencies to evaluate and improve their TASER programs
Status: Active | Tier: ACEIP Basic | Region: US
July 2024
Customer Content used:
TREND form and, when available, attached TASER logs
Automatic License Plate Recognition (ALPR) System Improvement
Automatic License Plate Recognition (ALPR) System Improvement
Status: Active | Tier: ACEIP Basic | Region: US
October 2022
Customer Content used:
License plate images captured by a users Fleet Camera and the associated ALPR Read Record such as date and time of the capture, and geographical location
Auto-Transcribe Platform Improvement Phase 2.0
Auto-Transcribe Platform Improvement Phase 2.0
Status: Active | Tier: ACEIP Basic | Region: US
March 2023
Customer Content used:
Audio in your Axon Evidence tenant and associated transcripts
Metadata associated with the evidence files such as titles, descriptions, and notes created by you and associated with any
images or other types of media or multimedia in your Axon Evidence tenant
Customer entity and User Service Interaction Data: This is data about your interactions with our devices or Axon Evidence, such as
device/client information, click/UI events, session length etc.
Comments or Further Questions?
Comments or Further Questions?
We value your feedback and are committed to addressing any questions or concerns about ACEIP for law enforcement agencies, please contact [email protected]. Looking for another ACEIP region or sector? Please visit our ACEIP page at https://www.axon.com/aceip.
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