Conntour
Conntour is an Israeli AI video-intelligence company building a natural-language search engine for security camera systems. Its vision and language models let operators search any camera feed in plain language to find any object, person, or situation in real time, raise automatic alerts, and investigate recorded footage in seconds — turning passive surveillance into active intelligence. Unlike legacy analytics that depend on preset object or motion definitions, Conntour's models scale to thousands of concurrent feeds (up to roughly 50 feeds per consumer GPU such as an Nvidia RTX 4090) and deploy fully on-premises, in the cloud, or in a hybrid mix, either augmenting existing VMS/security systems or serving as a standalone surveillance platform. Founded in 2024 by Matan Goldner and Tomer Kola, the company serves intelligence agencies, homeland security, law enforcement, military and defense, transportation, and enterprise customers. It raised a $7M seed round in March 2026 led by General Catalyst, with participation from Y Combinator, SV Angel, and Liquid 2 Ventures.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Conntour the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Conntour scores 12.3/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Conntour
Each block below is one kind of artifact we hold for Conntour. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Conntour — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
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