# onchainAI

- **Website:** <https://onchainai.io>
- **Primary alias:** `onchainai.io`
- **Founded:** 2023
- **Employees:** 2+
- **Location:** Salford Manchester, United Kingdom
- **Company kind:** PRIVATELY HELD

## Description

GenAI OnchainAI is a cutting-edge brand at the forefront of merging AI technology with blockchain solutions. Their web3 rails for GenAI empower users to envision responsible AI through blockchain, promising integrity and security for AI data. Launching soon, GenAI offers onchain dApps to streamline AI processes, including storing and retrieving vector embeddings on the blockchain. Users can curate, explore, and own data as dynamic NFTs on the blockchain, fostering data composability for AI advancements. With a unified web3 platform, GenAI enables the customization of AI solutions through their all-in-one tech stack. Their product lineup includes onChain LLMs, VectorDB, and Embeddings, among others. Dive into the future of AI technology with onchainAI's innovative products and use cases. Stay tuned for transformative advancements in the AI landscape.

## Industries

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

## Links

- [linkedin](https://linkedin.com/company/onchainai)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idUq1jrfNo/w/820/h/823/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1780681030542)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idUq1jrfNo/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1780681030635)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Royal Blue | #7c3bed | accent |
| Black Pearl | #030711 | dark |
| Athens Gray | #f3f4f6 | light |

## Fonts

- ui-sans-serif — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idUq1jrfNo/w/1584/h/396/idWMc9VVyY.jpeg?c=1bxid64Mup7aczewSAYMX&t=1780681030814)

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