Israeli startup Conntour, which develops artificial intelligence tools for video analysis, has raised $7 million in a Seed funding round. The round was led by General Catalyst, with participation from Y Combinator, SV Angel, and Liquid 2 Ventures, among others.

Founded in 2024, the company focuses on improving how security teams interact with video surveillance systems. Instead of relying on predefined filters, its platform allows users to search footage using natural language queries.

Using natural language to search video data

Conntour’s platform enables users to locate specific people, objects, or scenarios without pre-programmed rules. For instance, operators can search for “a man with a tattoo on his left arm” or “a van with a print of fruits on it.”

As a result, the system removes the need to define search parameters in advance. This approach can make video analysis more flexible, especially in unpredictable situations.

"Traditional video surveillance forces operators to define exactly what they're looking for before they even know what they need to find," said Conntour CEO Matan Goldner. "Existing solutions can only detect a predefined set of parameters, such as a weapon or a make of car. But what do you do when you need to identify someone passing a bag to another person, or a man with a Nike shirt? Real-world security doesn't work in neat categories. Our platform brings search-engine-level intelligence to any camera network, so security teams can respond to threats as they unfold and investigate incidents in minutes rather than days.”

Built on computer vision and real-time analysis

The platform uses computer vision algorithms to interpret complex and context-driven queries. It can process video data in real time, flagging potential issues as they occur.

In addition, the system supports retrospective searches. This allows investigators to scan archived footage and identify relevant events quickly.

Because of this dual capability, the platform aims to reduce the time needed for both monitoring and investigation.

Early deployment in security operations

The company says its technology is already being used in homeland security operations in Singapore. This suggests a focus on high-risk environments such as border control, public infrastructure, and large venues.

Although still in early stages, these deployments indicate potential use cases in government and enterprise settings.

Reducing manual effort in surveillance

Conntour claims its system can reduce the effort required to monitor and review video footage. According to the company, a single operator can oversee thousands of cameras at once.

Moreover, it states that large volumes of recorded footage can be analyzed within minutes. The platform also aims to reduce false alarms and missed events.

If these outcomes hold in practice, they could change how large-scale surveillance systems are managed, where manual review remains resource-intensive.

Founders and background

Conntour was founded by Matan Goldner and Tomer Kola, both of whom have experience in computer vision and video analysis. The company currently has a team of 14 employees based in Tel Aviv.

The idea for the startup emerged during their reserve service after the October 7 events, when both founders were part of active combat reserve units. Their experience working with field observers influenced the development of the platform.

The company also participated in the first cycle of Palantir Startup Fellowship, a program designed to support early-stage companies working on complex data problems.