Truleo
AI body-camera analytics that reviews every interaction
About
Truleo analyzes police body-worn camera footage with AI — transcribing audio, labeling events like arrests, stops, and searches, and scoring professionalism and de-escalation attempts. It flags footage for supervisor review and surfaces positive behavior; PII is auto-redacted and analyzed data is retained for 60 days. Pricing is per-department (one department reported about $36,000/year in a 2024 public radio report). The AI can miss context the camera does not capture, and supervisor-by-algorithm raises officer-union and civil-liberties questions.
What it can do
- AI transcription of body-camera audio
- Automatic event labeling (arrest, stop, search, domestic violence)
- Professionalism and de-escalation scoring
- Supervisor review queues with 'pending human review' flags
- Automatic PII redaction
- Conversational AI for policy and RMS queries
Setup
- Contact Truleo for a department demo and pricing
- Define review policies: which event tags supervisors must prioritize
- Connect body-camera footage ingestion
- Configure event labels, review cadence, and retention rules
- Train supervisors on the review workflow and AI-assistant policy
Prerequisites
A law enforcement agency with body-worn camera program; defined supervisor review policies
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Body-camera AI analytics with event labeling and professionalism scoring confirmed by NPR reporting; PII auto-redaction and 60-day retention window are documented policy strengths; ~$36k/yr per-department pricing from a 2024 public radio report, not vendor-published; AI assessments miss off-camera context; supervisor-by-algorithm raises labor and civil-liberties concerns. License: Proprietary SaaS — no open-source components.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 5.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · Body-camera AI analytics with event labeling and professionalism scoring confirmed by NPR reporting
- · PII auto-redaction and 60-day retention window are documented policy strengths
- · ~$36k/yr per-department pricing from a 2024 public radio report, not vendor-published
- · AI assessments miss off-camera context; supervisor-by-algorithm raises labor and civil-liberties concerns
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.