# Metaor.Ai

- **Website:** <https://metaor.ai>
- **Primary alias:** `metaor.ai`
- **Founded:** 2024
- **Employees:** 2+
- **Location:** Haifa, Cyprus
- **Company kind:** PRIVATELY HELD

## Description

Dr. Barak Or, the Founder & CEO of Alma Technologies, is a distinguished entrepreneur, researcher, and lecturer specializing in artificial intelligence and data fusion. With a Ph.D. in machine learning-based inertial navigation and a background in aerospace engineering, Dr. Or offers tailored corporate training programs in AI and related fields, along with comprehensive research and intellectual property support. Additionally, his company provides end-to-end AI deployment solutions to elevate organizations' capabilities and drive innovation.

Dr. Or's impressive achievements include securing substantial grants for his innovative projects, such as developing cost-effective GPS alternatives for accurate car positioning with Alma Technologies. With a track record of published patents and articles in professional journals, Dr. Or is an esteemed expert in his field, positioned to deliver cutting-edge solutions and insights to his clients. Partnering with Dr. Barak Or guarantees access to top-tier expertise and transformative AI solutions for your organization's success.

## Industries

- 🖥 Programming and Developer Software _(under Computers Electronics and Technology)_
- 🖥 Computers Electronics and Technology

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idp1Jv0Szp/w/237/h/237/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1779330797023)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Electric Violet | #873bff | accent |
| Blue Charcoal | #01031a | dark |
| Picton Blue | #3988ed | light |

## Fonts

- sans-serif — asset _(custom)_
- Sora — asset _(google)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idp1Jv0Szp/w/750/h/126/idpoXp_wmq.jpeg?c=1bxid64Mup7aczewSAYMX&t=1732278611882)

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