# Next Level Eventing

- **Website:** <https://nextleveleventing.com>
- **Primary alias:** `nextleveleventing.com`

## Description

Tamie Smith Next Level Eventing is an equestrian training and horse program based in Temecula, California, led by event rider Tamie Smith. With more than 25 years of industry experience, Smith has built a career marked by international competition and a commitment to developing horses and riders. Her achievements include serving as the traveling reserve for the United States at the 2020 Tokyo Olympic Games, winning team silver at the 2022 World Equestrian Games, and taking victory at the 2023 Land Rover Kentucky Three-Day Event at the five-star level. She has also earned strong results at other leading events, including Badminton and Maryland.

Through Next Level Eventing, Smith trains horses to the CCI5* level and runs a training and sale horse program with her daughter, Kaylawna. Her approach emphasizes patience, understanding each horse’s individual character, and building mutual trust between horse and rider. The program reflects Smith’s belief in every horse’s potential and her ambition to continue representing the United States in global equestrian competition.

## Industries

- 🐶 Pets and Animals
- 🐶 Horses _(under Pets and Animals)_

## Links

- [facebook](https://facebook.com/NextLevelEventing)
- [instagram](https://instagram.com/tsmitheventing)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idLoHZ_7x1/w/200/h/200/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1793539802950)
- icon _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idLoHZ_7x1/w/656/h/656/theme/dark/icon.png?c=1bxid64Mup7aczewSAYMX&t=1793539803214)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Bright Red | #af0400 | accent |
| Rhino | #28435b | dark |
| Ghost | #c8ccd1 | light |

## Fonts

- Dallas Bold — asset _(custom)_

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