AI Search Engine for Security Video Systems Raises $7M in 2026
Conntour, an Israeli AI startup, has raised $7 million to build a natural language search engine for security video systems, enabling teams to query camera feeds with simple text prompts.
AI Search Engine for Security Video Systems Raises $7M in 2026
summarize3-Point Summary
- 1Conntour, an Israeli AI startup, has raised $7 million to build a natural language search engine for security video systems, enabling teams to query camera feeds with simple text prompts.
- 2According to PR Newswire, the funding was led by General Catalyst and Y Combinator, marking a significant vote of confidence in the company’s ability to transform how security teams interact with video surveillance data.
- 3The platform eliminates the need for manual review by enabling analysts to type queries like "Find a person in a red jacket near the east entrance at 3:15 PM" and receive precise video clips in seconds.
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AI Search Engine for Security Video Systems Raises $7M in 2026
Conntour, an Israeli AI startup, has raised $7 million in a seed round to develop an advanced AI search engine for security video systems, allowing users to query live and recorded footage using natural language. According to PR Newswire, the funding was led by General Catalyst and Y Combinator, marking a significant vote of confidence in the company’s ability to transform how security teams interact with video surveillance data. The platform eliminates the need for manual review by enabling analysts to type queries like "Find a person in a red jacket near the east entrance at 3:15 PM" and receive precise video clips in seconds.
Revolutionizing Surveillance with Natural Language AI
Conntour’s technology leverages proprietary AI models trained on massive datasets of real-world security footage, enabling object, person, and behavior recognition with unprecedented accuracy. Unlike traditional systems that rely on pre-defined tags or manual logging, Conntour’s interface allows security personnel to ask open-ended questions, making it possible to uncover hidden patterns or incidents that might otherwise be missed. The company’s platform integrates seamlessly with existing CCTV and IP camera networks, requiring no hardware upgrades.
How Conntour’s AI Search Works
Conntour’s AI search engine uses deep learning to analyze video frames in real time, extracting metadata such as clothing color, movement direction, vehicle type, and facial features—even in low-light conditions. Unlike legacy systems, it doesn’t require users to know camera IDs or timestamps. Simply type a natural language query, and the system returns relevant clips ranked by relevance.
Real-World Use Cases in Security Operations
- Airport Security: Rapidly locate a suspicious individual after a security alert without reviewing 10+ hours of footage.
- Bank Branches: Identify a suspect who wore a mask and carried a specific bag during a robbery.
- Smart Cities: Police use Conntour to track missing persons across municipal camera networks using descriptors like "elderly woman, gray coat, walking cane".
Why Enterprises Are Adopting Conntour in 2026
According to Conntour’s official website, the platform is already trusted by government agencies and critical infrastructure operators, including entities affiliated with national home affairs and prime minister’s offices. This level of institutional adoption underscores the platform’s reliability and scalability in high-stakes environments where response time and precision are paramount.
Competitive Edge: AI Video Analytics Without Hardware Upgrades
Most AI video analytics platforms require new cameras, edge devices, or costly infrastructure changes. Conntour works with any existing IP or analog camera system via software integration. This lowers entry barriers and accelerates deployment—critical for public safety agencies with tight budgets.
The funding will be used to expand engineering teams, enhance AI model training, and accelerate global sales efforts. Conntour’s leadership team, composed of veterans from leading AI and cybersecurity firms, aims to position the company as the de facto standard for intelligent video analytics in public safety and corporate security sectors.
Industry analysts note that the global video surveillance market is projected to exceed $100 billion by 2030, with AI-powered search capabilities emerging as a key growth driver. Conntour’s approach—focusing on intuitive human-language interaction rather than complex dashboards—addresses a critical pain point for overworked security operators who lack the time or technical expertise to navigate legacy systems.
With this round, Conntour joins a select group of AI startups transforming physical security through natural language interfaces. As cyber-physical threats evolve, the ability to rapidly retrieve relevant video evidence could become as essential as digital forensics. Conntour’s AI search engine for security video systems is not just an innovation—it’s becoming a necessity for modern security operations.
