Conntour

What do they actually do

Conntour provides AI software that connects to an organization’s existing security cameras and continuously analyzes live and recorded video. Teams can run free‑text searches over past footage (e.g., “man with a blue backpack”), set plain‑language real‑time alerts, and pull simple analytics like counts. The product returns short video clips with links for review, supports reports with highlights, and lets users add reference images to improve detection Conntour site; YC profile .

It can be deployed in the cloud or on‑premises and is designed to integrate with current camera hardware and security tools, so customers don’t need to replace cameras. Conntour targets large fleets across government and enterprise; they report an early paid POC with the Singapore government that may lead to a larger contract Conntour site; YC profile .

Who are their target customer(s)

• Municipal police / city security operations centers: They manage thousands of public cameras and need fast search and accurate alerts; manual review of hours of footage is slow and current analytics tools trigger too many false alarms YC; Conntour .
• National government or defense units: They require on‑prem, secure deployments that keep video inside their network and need very low false positives due to operational and legal risk YC; Conntour .
• Large corporate security teams (campuses, retail, logistics): They run multi‑site camera fleets and need quick incident detection, theft investigation, and basic analytics without hiring many additional analysts Conntour; YC .
• Industrial and critical‑infrastructure operators (ports, factories, utilities): They need continuous, reliable monitoring for safety and operations and cannot tolerate noisy alerts that distract operators or cause downtime Conntour.
• Security integrators and managed‑service SOCs: They need a system that plugs into existing cameras and VMS, reduces irrelevant alerts, and delivers clip highlights and workflow integrations for ticketing/alerting tools Conntour.

How would they acquire their first 10, 50, and 100 customers

• First 10: Convert the existing Singapore government POC into a paid contract and use that deployment as a reference; offer time‑boxed, low‑cost on‑prem pilots with hands‑on integration support to validate accuracy and compliance quickly YC; Conntour .
• First 50: Add 1–2 senior enterprise/government sellers focused on police, national security, and large campuses, and sign 2–3 VMS/system‑integrator partners to bundle Conntour into proposals; publish case studies and operational metrics from early pilots to shorten procurement.
• First 100: Scale through channel programs and standardized onboarding: formalize reseller/SOC programs, provide standard security/compliance docs and a turn‑key on‑prem appliance, and ship a one‑page procurement pack to reduce custom legal/IT work.

What is the rough total addressable market

Top-down context:

Independent reports size AI/video analytics software in the low tens of billions today with rapid growth (e.g., Grand View; broader video surveillance is larger but mostly hardware/services) Grand View; MarketsandMarkets .

Bottom-up calculation:

Industry sources cite ~1.5B surveillance cameras globally; at an illustrative $200 per camera per year, the theoretical ceiling is large, but focusing on 5–15% of cameras (enterprise/government slice) implies ~$15–$45B/year TAM Axis/IDC; Verkada pricing .

Assumptions:

• Focus on enterprise/government and critical‑infrastructure fleets, not consumer cameras.
• Illustrative price point of ~$200 per camera per year based on public pricing signals.
• Adoption in the 5–15% range of the installed base for practical TAM today.

Who are some of their notable competitors

• BriefCam: Established video analytics for forensic search, video synopsis, and real‑time alerts; widely used by law enforcement and cities, overlapping with Conntour on post‑event search and alerting.
• Avigilon (Motorola Solutions): End‑to‑end security vendor (cameras, VMS, analytics) with appearance search and GenAI features; strong in large, secure deployments where buyers want an integrated, auditable platform.
• Camio: Hybrid edge/cloud search and natural‑language policy alerts for existing cameras; overlaps on plain‑English queries and real‑time, policy‑driven monitoring for multi‑site ops.
• Genetec: Unified security platform (VMS, ALPR, decision center) used by cities and police; competes where city‑scale orchestration and evidence management are required.
• Eagle Eye Networks: Cloud‑first VMS with built‑in AI analytics and broad integrations; strong in scalable cloud deployments and multi‑site management via reseller ecosystem.