Powered by VLM, CA-Vector RAG, Milvus and LLAMA & ASR Stacks

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VideoIQ delivers an AI-powered video analytics through GPU-accelerated technology for both real-time and archived streams. Our platform supports video summarization, semantic search, and multi-source federation (including CCTV, drones, and Edge based ISR) with advanced real-time alerting capabilities. 

Powered by NVIDIA's Vision-Language Models (VLM), Context Aware RAG and Vector dBase and LLAMA Large Language Models (LLM), we facilitate natural language and prompt-based inquiries across full-motion video (FMV) and live feeds, converting video data into actionable insights.

We Excel at Full Stack Agentic AI Workflow Ownership:

• Mission workflows (dispatch, incident review, evidence packaging, SOP compliance, after-action),

• Precision recall (finding “the 12 seconds that matter”),

• Latency-to-alert (time from event → notification → operator verification),

• Auditability (why the model said it, what frames, what metadata, what confidence).

VideoIQ is a Autonomous Agentic AI based Video Analyst Specializing in: 

• Conducting Search (semantic retrieval across time/cameras)

• Summarizing Events Via Prompt Based LLM Queries (shift report, incident summary)

• Providing Alerts (threshold/event-driven, plus “verify” step)

• Carrying out Verification Review (operator workflow + case packaging)