# Toga Performance

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

## Description

Toga is an AI-powered running training app designed to help runners pursue goals from their first mile to a marathon. Its adaptive plans combine core training principles with each runner’s history, experience, schedule, progress, and feedback, supporting everyone from beginners to elite athletes. Runners can train for a personal record, a Boston Marathon qualifying time, a race, or a return from injury.

Toga adjusts plans as real life unfolds. It recalibrates workouts based on logged activities and can respond to missed runs, changing fitness, illness, or other feedback through its AI assistant coach, available around the clock. The app also helps users track aches and injuries, monitor recovery, and follow targeted prehabilitation exercises. Training insights include fitness trends, race preparation, and potential performance estimates.

Users can connect devices and platforms including Garmin, Apple Watch, Coros, and Polar to sync activities. Toga was created from its founder’s experience returning to running after injury, and aims to make training more flexible, personalized, and health-conscious.

## Industries

- 🏈 Sports
- 🏈 Running _(under Sports)_

## Links

- [instagram](https://instagram.com/trainwithtoga)

## Logos & icons

- logo _(primary)_ — SVG, PNG — [download](https://cdn.brandfetch.io/idX9oHJS2R/theme/dark/logo.svg?c=1bxid64Mup7aczewSAYMX&t=1792021713308)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idX9oHJS2R/w/100/h/100/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1792021713429)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Paarl | #ac432a | accent |
| Cocoa Bean | #4c2021 | dark |
| Early Dawn | #fff8e7 | light |

## Fonts

- var(--font-display) — asset _(custom)_
- Arial — asset _(custom)_

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