Multimodal retrieval across live and archived footage using open-world queries.
Search hours of archived video in seconds using plain English — no pre-labeling, no manual review, no pre-training required.
At Argu.ai, we pioneered the shift to Vision Agents. By combining Large Language Models (LLMs) with visual encoders, we built a system that understands the world the way humans do through context and language.
Open-World Search
Query anything without configuring detection categories in advance. The AI understands context, not just pixels.
Conversational Investigation
Chain queries together: List all blue trucks that stayed over 60 mins yesterday. Compare this to Monday. Export as PDF to my email.
Cross-Camera Retrieval
Search across every connected camera simultaneously. Find an individual's full path through your facility from a single query.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.
Zero Pre-Training
Search any behavior or appearance without labeling datasets in advance.
4-6 Hour Time Savings
Reduce post-incident footage review from hours to seconds.
Audit-Ready Export
Generate timestamped reports directly from search results.
Open-World Search
No pre-labeling or pre-training required. Search any behavior or appearance the moment you need it.
Conversational Investigation
Chain queries like a conversation. Each follow-up builds on the previous result.
4-6 Hour Time Savings
Reduce post-incident footage review from hours to seconds across any number of cameras.
Cross-Camera Retrieval
Search simultaneously across every connected camera. Find an individual full path from a single query.
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