# Oncourtai

- **Website:** <https://oncourtai.co.uk>
- **Primary alias:** `oncourtai.co.uk`

## Description

OnCourtAI is a digital coaching brand that uses artificial intelligence to help racket-sport players understand and improve their technique. Players can upload a phone video of a tennis stroke and receive biomechanical analysis and personalised coaching tips in under 30 seconds. The platform detects forehands, backhands, serves and volleys, tracks more than 20 body points, and reports performance measures such as racket speed, contact point and follow-through. Progress tracking, video comparisons and tailored drills help users monitor development over time.

OnCourtAI is available on the web and for iOS and Android, with free shot analysis and a Pro membership listed at £8.99 per month for unlimited features. Its AI coaching also supports padel, analysing nine strokes with sport-specific feedback and scoring. Coaches can manage players, assign analyses, track activity and add private notes; these coaching features are offered free during early access. The brand also provides a coach directory for several racket sports and publishes The Court Report, a podcast featuring technique, tactics and coaching insights.

## Industries

- 🏈 Sports
- 🏈 Tennis _(under Sports)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [instagram](https://instagram.com/oncourtai)
- [twitter](https://twitter.com/oncourtai)
- [facebook](https://facebook.com/profile.php?id=61587771983118)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idSQMsjeXx/w/240/h/64/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790346760759)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Supernova | #fdca0a | accent |
| Ebony Clay | #1f2937 | dark |
| Magic Mint | #a7f3d0 | light |

## Fonts

- Inter — asset _(google)_

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