About AIKOLO

AIKOLO develops AI-driven surveillance systems that utilize advanced detection technology to identify and track 12 classes of threats across various environments, including critical infrastructure and border security. Their solutions enhance existing surveillance setups by providing accurate threat localization and real-time monitoring, addressing the need for reliable security in high-risk areas.

```xml <problem> Existing surveillance systems often struggle to accurately identify and track potential threats across diverse environments, leading to false alarms and delayed responses. Critical infrastructure, borders, and coastal regions are particularly vulnerable due to the difficulty in distinguishing between genuine threats and harmless objects. This lack of precision can compromise security and strain resources. </problem> <solution> AIKOLO offers AI-driven surveillance systems designed to enhance threat detection and tracking in critical environments. Their technology uses pre-trained AI models to recognize 12 classes of threats, minimizing false positives and ensuring accurate identification of potential risks. The system integrates with existing surveillance setups, providing real-time monitoring and precise localization of targets. By leveraging AI video analytics, AIKOLO enables autonomous monitoring and improves situational awareness for enhanced security. </solution> <features> - AI-powered object detection that reduces false alarms by 95% compared to traditional motion detectors - Neural network-based object detection and identification for accurate classification of threats - Autonomous target detection, transmitting information to the operator only upon identifying a threat - Capability to detect and recognize 12 types of ground, air, and sea targets in day/night and thermal channels - Accurate target localization using camera information, eliminating the need for radar or laser rangefinders in some configurations - Autonomous drone detection and tracking using optical sensors - Passive mode operation to mask the system until a threat is detected - KOLO VMS video management software for managing and controlling IP camera systems with integrated AI capabilities </features> <target_audience> AIKOLO's primary customers include organizations responsible for securing critical infrastructure, borders, coastal regions, correctional facilities, and small airfields, as well as government and private entities seeking to enhance their surveillance capabilities. </target_audience> ```

What does AIKOLO do?

Where is AIKOLO located?

AIKOLO is based in Delray Beach, United States.

When was AIKOLO founded?

AIKOLO was founded in 2022.

Location

Delray Beach, United States

Founded

2022

Employees

2 employees

Major Investors

FAU Tech Runway

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AIKOLO

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Executive Summary

aikolo.com 10+

Crunchbase

Founded 2022 – Delray Beach, United States

Funding

Major Investors

FAU Tech Runway

Team (<5)

No team information available.

Company Description

Problem

Existing surveillance systems often struggle to accurately identify and track potential threats across diverse environments, leading to false alarms and delayed responses. Critical infrastructure, borders, and coastal regions are particularly vulnerable due to the difficulty in distinguishing between genuine threats and harmless objects. This lack of precision can compromise security and strain resources.

Solution

AIKOLO offers AI-driven surveillance systems designed to enhance threat detection and tracking in critical environments. Their technology uses pre-trained AI models to recognize 12 classes of threats, minimizing false positives and ensuring accurate identification of potential risks. The system integrates with existing surveillance setups, providing real-time monitoring and precise localization of targets. By leveraging AI video analytics, AIKOLO enables autonomous monitoring and improves situational awareness for enhanced security.

Features

AI-powered object detection that reduces false alarms by 95% compared to traditional motion detectors

Neural network-based object detection and identification for accurate classification of threats

Autonomous target detection, transmitting information to the operator only upon identifying a threat

Capability to detect and recognize 12 types of ground, air, and sea targets in day/night and thermal channels

Accurate target localization using camera information, eliminating the need for radar or laser rangefinders in some configurations

Autonomous drone detection and tracking using optical sensors

Passive mode operation to mask the system until a threat is detected

KOLO VMS video management software for managing and controlling IP camera systems with integrated AI capabilities

Target Audience

AIKOLO's primary customers include organizations responsible for securing critical infrastructure, borders, coastal regions, correctional facilities, and small airfields, as well as government and private entities seeking to enhance their surveillance capabilities.