Government

Digital Evidence Management (DEMS) gives federal law enforcement agencies one CJIS-compliant system for body-worn camera, dash camera, CCTV and forensic evidence, with 300+ file formats, transcription in 82 benchmarked languages, redaction with Redactor and natural-language evidence search with AI Intelligence Hub. It deploys in Azure Government, on premises or fully air-gapped.

AI search finds responsive records across video, audio, and documents, and bulk redaction applies state or federal exemption codes, tested past a million recordings.

Automatic transcription and captions align to Section 508, ADA, and WCAG 2.2, and public portals work without accounts, ads, or tracking.

Automates the public-facing workloads: records requests with bulk redaction, meeting streaming with automatic captions, digital archives with AI search, and citizen document intake, on one platform under agency control.

In Azure Government Cloud, in your own data center, or fully air-gapped, with controls aligned to NIST SP 800-53. Agencies that need an accredited hosting environment can be onboarded through our hosting partner. Our trust center documents the current compliance posture in full.

VIDIZMO offers EnterpriseTube for secure video training and Digital Evidence Management (DEMS) for military law enforcement evidence. Deployments support IL4/IL5 workloads via Microsoft Azure Government, with controls aligned to NIST SP 800-53 and FIPS 140-3 validated cryptographic modules on supported infrastructure. Fully air-gapped deployment keeps all AI processing on local models for disconnected networks.

VIDIZMO runs fully air-gapped on the agency's own infrastructure, with transcription, detection, OCR, PII detection and language models all running locally so no content leaves the boundary. AI Intelligence Hub uses self-hosted language models served through Ollama or vLLM. Content is encrypted with AES-256 at rest, audit records are sealed with SHA-384 so any alteration is detectable, and controls align with NIST SP 800-53 and 800-171 using FIPS 140-3 validated cryptographic modules on supported infrastructure.

Digital Evidence Management (DEMS) records a chain of custody for every action on an item and verifies integrity with a SHA-384 hash, issued as a digitally signed integrity certificate that travels with the evidence. Multi-camera footage is reviewed in a synchronized mosaic view, and recordings are transcribed in 82 benchmarked languages with editable, searchable transcripts. EnterpriseTube supports livestreaming of court proceedings.

VIDIZMO can run fully air-gapped on customer-controlled infrastructure, with transcription, detection, OCR, PII detection and language models (served through Ollama or vLLM) running locally so no content leaves the network. Redactor marks classified passages with classification shading that only users holding a restricted right can remove. Whether a deployment may hold classified information, and at what level, is decided by the customer's accrediting authority for that system.

Redactor ships default redaction codes for US FOIA exemptions, so each redaction records the exemption it was made under and the code appears on the released record. Redactions are organized into separately managed layers, so one recording can be released to requesters with different access rights. Bulk redaction runs as queued work and has been exercised at over 1.1 million recordings.

Redactor records the legal basis for each redaction as a redaction code. Default code lists cover US FOIA, UK FOIA and the US Privacy Act, and an agency adds its own code list for its state law, such as the Georgia Open Records Act, the California Public Records Act, California AB 748 body camera disclosures or New Hampshire RSA 91-A.

VIDIZMO is available through cooperative contracts that let agencies buy without running their own RFP: Sourcewell (#110724-VIDIZ and #030425-VIDIZ), TXShare (#2025-018), NCPA, OMNIA Partners, 791 Purchasing Cooperative (#202502005), Texas DIR (DIR-CPO-5283 and DIR-CPO-TMP-594) and the Georgia Technology Authority statewide portfolio.

AI Live Insight adds real-time detection to a city's existing RTSP or ONVIF cameras, covering people, vehicles, crowds, traffic signals and signs, fire and graffiti, with zone rules for loitering, intrusion and crowd counts. One GPU handles about 32 to more than 100 cameras depending on frame rate and models, and capacity scales out by adding servers. Detections are sent by webhook to 311, CRM or dispatch systems so they can become service requests.

AI Live Insight detects potholes, fallen trees, graffiti and damaged electricity poles in footage from survey vehicles or drones, and GPS telemetry in that footage places each defect on a map. Detections can be sent by webhook to a 311, CRM or work management system to open a maintenance request.

AI Live Insight can be trained to detect curbside violations such as double parking, bike-lane blockage, accessible-bay blockage, loading zone misuse and overstaying on existing cameras. These models are trained per engagement against footage from the city's own cameras, and each detection becomes an alert with time, camera, severity and a video clip that can be sent by webhook to enforcement or CRM systems.

Yes. AI Live Insight sends detections by webhook to a 311 or CRM system, which can open a draft service request from each one. Each alert records the detection type, camera, severity, confidence, time and a video clip. The mapping into a city's own 311 or CRM system is configured per deployment rather than supplied as a prebuilt connector.