# Location AI Tech

- **Website:** <https://locationaitech.com>
- **Primary alias:** `locationaitech.com`
- **Founded:** 2020
- **Employees:** 2+
- **Location:** Sham Shui Po District, Hong Kong S.A.R.
- **Company kind:** PRIVATELY HELD

## Description

Location AI Technology Limited is a Hong Kong-based tech start-up that aims to improve operational efficiency through the integration of technology. They specialize in location-based intelligence services (LBIS), empowering both humans and machines with their innovative solutions. With a team of experts in positioning technology, building and construction management, sustainable technology, and artificial intelligence, Location AI Technology is focused on developing a location-based artificial intelligence platform for industrial and smart city applications. They offer a range of products and services, including the AI Indoor Fall Tracker, Waste Transport System, Smart Building Health Model, and more. Their solutions utilize hybrid cloud-based and edge-end algorithms, enabling simultaneous detection of indoor location and fall motion. With their web-based platform and world-first indoor GIS-based technology, Location AI Technology provides reliable and cost-effective map-based business models for businesses. Get started today to elevate the efficiency of your business with their groundbreaking location-based intelligence services.

## Industries

- 🖥 Computers Electronics and Technology _(under Computers Electronics and Technology)_
- 🖥 Computers Electronics and Technology

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idmGhfPGb3/w/180/h/180/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1772854873321)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Orange Peel | #ff9900 | accent |
| Mine Shaft | #202020 | dark |
| Alabaster | #fafafa | light |

## Fonts

- Arial — asset _(custom)_

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_Source: <https://brandfetch.com/locationaitech.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._