AI Capabilities

Intelligence Hub includes 103 features spanning the full spectrum of enterprise AI processing capabilities.

• Agentic RAG -- chatbot, agents, workflows, AI nodes
• AI Search -- 20+ search features
• Computer vision -- object detection, tracking, activity recognition
• NLP -- transcription, translation, sentiment, summarization
• Generative AI -- multi-LLM support, summarization, content generation
• Document intelligence -- OCR, layout detection, classification, data extraction
• File assessment -- integrity verification, deduplication
• Classification, anonymization, and data normalization

Threat detection in video surveillance is the use of AI models to automatically identify security-relevant objects, people, or behaviors in live or recorded video. It replaces the need for an operator to spot every event manually, generating structured alerts when a configured threshold is crossed. Modern threat detection covers weapons, intrusion, ALPR, abandoned objects, crowd anomalies, and site-specific patterns like copper theft or fence breach.

Ethical standards created by the ABA that govern attorney behavior across all US jurisdictions. They cover confidentiality, competence, candor, and fairness, and violations can result in sanctions ranging from reprimand to disbarment.

Video analytics software helps casinos by automating the process of reviewing video recordings from vendor sessions. It enables casinos to quickly identify key incidents, flag anomalies, and generate audit logs to ensure security, compliance, and operational efficiency. By using AI-powered tools like video summarization and anomaly detection, casinos can reduce time spent on manual review and improve oversight.

Intelligence Hub processes five categories of data via batch uploads, live feeds, and API pipelines.

• Video -- surveillance, body-worn camera, meetings
• Audio -- calls, recordings
• Images -- photos, scanned documents
• Documents -- PDFs, Word, spreadsheets, emails
• Other unstructured content -- any file type ingested through bulk or API

No, not as a primary research tool. Public SaaS chat creates confidentiality and CJIS compliance risks with criminal case data, and hallucination rates are too high for primary use.

AI session analysis applies multimodal AI, including computer vision, OCR, audio transcription, and language model reasoning, to recorded sessions such as terminal recordings, privileged access recordings, and meeting recordings. It turns video, which is normally unsearchable, into structured, queryable evidence so security teams can detect insider threats, audit policy compliance, and investigate incidents without watching hours of footage manually.

AI report summarization automatically extracts key information from audio, video, transcripts, and documents, then organizes it into a structured report. The technology combines natural language processing, machine learning, optical character recognition, and computer vision to identify themes and format outputs to match reporting standards. Instead of a person reviewing hours of content and writing from scratch, AI produces a structured draft that reviewers verify and refine. This shifts human effort from data extraction to judgment, which is where it actually adds value.

AI transcription captures spoken content from interviews verbatim, allowing law enforcement to create accurate, speaker-identified records. This ensures accountability, reduces the chance of misinterpretation, and enhances the integrity of investigative documentation.

VIDIZMO AI video summarizer uses artificial intelligence to analyze long video recordings, extract key moments, and create concise summaries. This technology helps organizations quickly review video content, highlighting critical incidents and anomalies for further investigation or compliance.

Intelligent document processing (IDP) is an AI-powered approach to extracting, classifying, and structuring data from unstructured and semi-structured documents. It combines OCR, natural language processing, machine learning classification, and pattern recognition to convert documents like invoices, contracts, forms, and scanned records into structured, usable data. Unlike basic OCR, IDP understands document layout, context, and meaning.

A legal data intelligence platform uses AI to analyze, retrieve, and summarize large volumes of case documents, medical records, and discovery files within a secure private environment. For law firms handling mass torts or class-action cases, it eliminates days of manual document review by returning precise answers in seconds, freeing attorneys to focus on strategy and client counsel rather than administrative tasks.

The most frequent types are patient names and dates of birth in list views and search results, medical record numbers and member IDs in detail screens, diagnosis and procedure codes in claims dashboards, and provider identifiers (NPI numbers, physician names) in care coordination views. Browser tabs and notification banners are also common but frequently overlooked sources.

Healthcare data intelligence tools tons of healthcare data to generate actionable insights, summarize information, link data points, and automate processes to help operations and decision making for healthcare staff, fraud investigators, and insurance agencies.

Video analytics is the use of artificial intelligence to analyze recorded video sessions and extract actionable insights. For tribal casinos, video analytics helps automate the documentation and monitoring of vendor sessions, fulfilling IGRA’s requirements for accountability, audit readiness, and remote access oversight.

An automated transcript uses advanced algorithms and AI to convert spoken language or audio content into written text without human intervention. It utilizes sophisticated speech recognition technology to accurately transcribe spoken words, enhancing the accessibility and searchability of digital content.

AI video search allows enterprises to search inside video content using speech recognition, OCR, object detection, and semantic understanding. It makes spoken words, on-screen text, and visual elements fully searchable.

A multimodal LLM is a large language model capable of processing and generating outputs from multiple data types such as text, audio, video, and images. It works by using specialized encoders for each format and combining the extracted information into a unified understanding, enabling more comprehensive AI-driven solutions.