Conntour
Category: Computer Vision
An AI-native search engine for video surveillance that enables security teams to query thousands of live and archived camera feeds using natural language. Conntour was founded in 2024. The company is led by Matan Goldner. Based in Miami, USA. Team size: 10-50. Total funding raised: $7.5M. Latest round: Seed. Key investors include General Catalyst, Y Combinator, SV Angel, Liquid 2 Ventures.
- Founded
- 2024
- Headquarters
- Miami, USA
- Team size
- 10-50
- Total funding
- $7.5M
Value proposition
Transforms passive video monitoring into a proactive, searchable database, allowing operators to find specific events or subjects across massive camera networks in seconds using simple text queries.
Products and solutions
Natural Language Video Search Engine, Real-time Semantic Alerting System, Forensic Investigation & Analysis Dashboard, On-premises AI Deployment Architecture, Privacy-focused Video Redaction & Control Tools
Unique value
Moves beyond traditional motion detection or basic object recognition to 'semantic understanding,' allowing complex queries like 'find a man in a red shirt with a blue backpack' across disparate camera systems.
Target customer
Government agencies, homeland security, law enforcement, and large-scale enterprise security operations (e.g., airports, stadiums, corporate campuses).
Industries served
Public Safety & Homeland Security, Critical Infrastructure, Enterprise Security, Transportation & Logistics, Government Services
Technology advantage
Offers a 'plug-and-play' solution that works with existing camera hardware (no 'rip-and-replace' required) and prioritizes security through fully on-premises processing, leveraging the founders' deep expertise in military-grade surveillance.
How they differentiate
Conntour differentiates through an 'AI-native' semantic search engine that allows natural language queries (e.g., 'find a person in a red hat') across existing camera networks. Unlike Verkada, it is hardware-agnostic (no 'rip-and-replace' required), and unlike legacy players like BriefCam, it uses modern Large Vision Models (LVMs) for real-time, complex semantic understanding rather than simple motion or object tagging.
Main competitors
Verkada, Ambient.ai, BriefCam
Key partnerships
Y Combinator (W25 Batch), General Catalyst (Lead Seed Investor), Palantir (Startup Fellowship Member), Singapore Government (Homeland Security operational deployment)
Notable customers
Singapore Central Narcotics Bureau / Ministry of Home Affairs, Israeli intelligence agencies
Major milestones
Selected for the Y Combinator Winter 2025 (W25) batch, Raised $7M Seed funding led by General Catalyst in March 2026, Joined the inaugural cohort of Palantir's Startup Fellowship, Successfully deployed technology within Singapore's Homeland Security operations, Featured in Financial Times investigation on AI video surveillance (June 2026)
Growth metrics
YC W25 alumni; ~14–18 employees (Tel Aviv + Miami); $7M GC-led Seed (Mar 2026); paying government customers including Singapore homeland security.
Market positioning
High-security AI intelligence layer for government, homeland security, and critical infrastructure.
Geographic focus
North America (Miami HQ) and Asia-Pacific (Strategic operational focus in Singapore).
Patents and IP
No registered patents disclosed as of latest update.
About Matan Goldner
Matan Goldner is a specialist in real-time intelligence and video surveillance. He previously led a specialized military video surveillance unit in the Israel Defense Forces (IDF), where he managed large-scale security camera networks for life-saving operations. He also has entrepreneurial experience as the co-founder of Studentica.
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Official website: https://www.conntour.com/