Industries

Redactor supports customers' PCI DSS obligations by detecting and redacting cardholder data, such as credit card numbers, IBANs and other account identifiers, in video, audio, images and documents, including text read by OCR and speech in call recordings. A PCI DSS detection set reports how much of the required data was redacted on each file. VIDIZMO does not process payment data and holds no PCI attestation.

Yes. Redactor transcribes call recordings, detects credit card numbers and other financial identifiers in the transcript, and replaces those segments with silence or a beep, either automatically or by an operator searching the transcript. Batches run as queued bulk work, which has been exercised at over 1.1 million recordings. PII detection covers 10 languages.

VIDIZMO supports GLBA safeguards for nonpublic personal information with AES-256 encryption at rest, TLS in transit, role-based access control, multi-factor authentication and audit logging. Redactor removes nonpublic personal information from recordings and documents before they are shared, with a GLBA detection set for coverage reporting, and content purge aligns with NIST SP 800-88 for disposal.

EnterpriseTube can replace Microsoft Stream with on-premises or cloud deployment, separate branded portals for different audiences, live events (a single broadcast has reached 20,000 participants), eCDN with peer-to-peer delivery, in-video quizzes, SCORM and LTI, 300+ file formats and transcription in 82 benchmarked languages. Teams and SharePoint content ingests through built-in connectors, and Redactor can be added for redaction.

AI Intelligence Hub connects to SharePoint and other knowledge sources such as runbooks and FAQ documents, and answers IT support questions in conversation with citations to the source. Workflows are built in a no-code visual designer, separate assistants can be scoped to different support areas, and assistants are available in the portal or in Slack.

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.

AI Live Insight detects missing PPE, unsafe activity such as falls and fighting, and hazards such as fire and smoke on existing factory cameras, with real-time alerts to safety managers. Cycle-time analysis and other facility-specific models are trained per site against the plant's own footage.

Pretrained models identify missing hard hats, safety vests, glasses, and gloves in real-time. Events include location, violation type, severity, and confidence. Fine-tunable for facility-specific PPE requirements.

AI Live Insight connects to SCADA and operations platforms through webhooks and its REST API rather than a prebuilt SCADA connector. Detections are sent out as webhook events, and a signal passed in from an external system can be correlated with camera detections in the same zone at the same time, with the external system remaining responsible for its own sensing.

AI Live Insight can be trained to measure cycle time on existing production cameras, tracking how long work spends at each station and raising alerts through the same pipeline as other detections. Cycle-time models are trained per site against the facility's own footage, so the stations and measures are scoped during the engagement.

Yes. Playback adapts across renditions up to 2160p (4K), and content carries up to seven audio channels that viewers switch between during playback, for example by language. 360-degree video, synchronized multi-camera mosaic playback and adjustable playback speed from 0.25x upward are also supported.