Argu is cctv analytics you build with a sentence: describe the situation that matters, and an agent watches for it around the clock.
The difference is architecture, not a bigger detector list. The platform combines large language models with visual encoders, so it reads a scene closer to the way a person does: who is present, what they are doing, and whether that matches the rule set for that camera. A competitor's list of forty detection types is a ceiling. Here, the operator writes the forty-first one. Terminal operators run these agents across gate lanes and quay perimeters as part of a wider port security programme.
Most cctv analytics tools ship as a fixed menu of detectors: person, vehicle, loitering, and little else. This platform works differently. Describe the situation in plain English, the same way you would brief a new guard, and the sentence becomes a live agent in about 30 seconds. One operator built an agent that flags any employee who takes longer than 30 seconds to approach a customer after they walk in, without a developer writing a line of code.
Natural language video search
Search footage the way you would ask a colleague: type what you are looking for and the platform surfaces the matching moments across every connected camera, instead of scrubbing through hours of timeline.
Prompt to live agent in 30 seconds
Type a scenario in plain English and it becomes a running agent in about 30 seconds. No integrator visit, no model retraining, no engineering ticket.
Multi camera orchestration
One agent can watch a rule across every camera on the network at once, correlating what happens at the entrance with what happens at the register instead of treating each feed on its own.
Works on the cameras already installed
Connects to existing RTSP streams, IP cameras and NVRs. There is no camera swap and no new wiring: the intelligence sits on top of the network already in place.
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.
CCTV Analytics Without the Detector List
A fixed menu of pre trained detectors is replaced with agents defined by the operator, in a sentence, so the system watches for the exact situation that matters on site.
Live Agent in About 30 Seconds
A prompt becomes a running agent in roughly half a minute, a process that used to take an engineering team months to build for a single use case.
No New Hardware
The platform runs on RTSP streams, IP cameras and NVRs already installed, so rollout is a software connection, not a construction project.
Agents, Not a Catalogue
Instead of choosing from a list of pre built detection types, an operator writes the rule in words, and the platform builds the agent around it.
Not a detector catalogue
Forty pre built detection types is a ceiling other vendors sell as a feature. Here, the operator writes the rule, so the system can cover situations no vendor thought to pre train.
Understanding, not just detection
Context matters more than a bounding box: who is present, what they are doing, and how long they have been there. A rule can flag a delivery courier still in the building more than half an hour after arriving, not just anyone carrying a package.
Deploys on existing infrastructure
Connect to the RTSP streams, IP cameras and NVRs already on site. There is no forklift upgrade and no new camera order before the first agent goes live.
Backed by investors who are also customers
Argu closed a two million dollar pre seed round led by Speedrun, the early stage fund from Andreessen Horowitz, with the Port of Miami and Mekorot investing as customers who run the platform themselves.
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