Solutions & Use Cases

An enterprise video platform built for learning: secure hosting for course video, in-video quizzes and learning plans, automated certification, and analytics that prove completion per learner.

Software that keeps recorded calls compliant automatically: bulk audio redaction removes payment card and health data, AI transcription makes every call reviewable, and QA analytics score the whole volume, not a sample.

A workflow that gives every claim one evidence record with provable integrity, analyzes evidence across claims to surface fraud patterns, and de-identifies files before they leave your control.

A system that holds internal case evidence with chain of custody, analyzes interviews and documents with AI, restricts access to the investigation team, and produces de-identified copies for disclosure.

Software that keeps records usable for decades, not just stored: Dublin Core metadata with EAD and METS export, aligned to OAIS and NARA practice, so your archive follows standards instead of a vendor's format.

AI inspection of the paperwork behind financial decisions, loans, mortgages, letters of credit, claims, for tampering, forgery, and inconsistency, so fraud is caught at intake instead of discovered after funding.

Running evidence through collection, analysis, redaction, and disclosure in one system instead of exporting between tools. DEMS, Redactor, and AI Intelligence Hub hand the work to each other while one unbroken chain of custody covers all of it.

Software that runs the request-to-release workflow: locate responsive records, review and redact exempt material, apply exemption codes, and release with an audit trail, fast enough to meet the 20-business-day FOIA deadline.

Using the cameras an agency already operates, fixed and vehicle-mounted, to continuously detect infrastructure problems like road surface defects and obstructions, and automatically file the maintenance work orders.

A platform that records operations and exercises, makes the archive searchable by what was said and shown, builds timelines for review, and delivers the lessons as certified training.

An automated pipeline that anonymizes sensitive information across recordings, documents, and images at scale, with validation and an audit trail, so the data can be reused for analytics and AI within privacy obligations.

Live CDN-delivered streams at 1080p, validated at 20,000 simultaneous viewers, with 360-degree chamber coverage, plus an on-demand archive where every meeting is searchable by what was said.

Software that manages the open records workflow end to end: request intake and tracking, AI search across every record type, automated redaction with state exemption codes, and self-service release through a citizen portal.

AI that watches your existing cameras for safety events, turns incidents into documented evidence with chain of custody, drafts the reports, and delivers corrective training with proof of completion, one loop in one platform.

Per-user tokenized URLs with time limits and access-count restrictions, domain whitelists that control where content can be embedded, dynamic watermarking that traces every copy to its recipient, and audit logging of who opened what, when, from where.

AI that watches live camera feeds, understands situations rather than just objects, and alerts operators while the event is still unfolding, built on AI Live Insight detection and AI Intelligence Hub agentic analysis.

33+ spoken PII categories across 82 languages: card numbers, CVV, SSNs, bank accounts, SWIFT and IBAN, patient identifiers, and plan numbers, including bilingual calls that switch language mid-sentence.

Document Fraud Verification inspects the paperwork itself for tampering and forgery. This solution works on the whole evidence file, footage, photos, recorded statements, and documents together, and the two run side by side on the same platform.

Because internal cases escalate: to litigation, regulators, or law enforcement. Evidence handled with WORM audit logs and integrity certificates from day one survives that escalation; a shared-drive folder does not.

82-language transcription and AI metadata enrichment make audio and video discoverable by what was said and shown, while supervised and unsupervised classification sorts the backlog into taxonomies at scale.