# SMAQ

- **Website:** <https://smaq.io>
- **Primary alias:** `smaq.io`
- **Founded:** 2023
- **Employees:** 2+
- **Location:** Hong Kong, Hong Kong S.A.R.
- **Company kind:** PRIVATELY HELD

## Description

SMAQ is a groundbreaking brand that revolutionizes the way users interact with data by eliminating the need for complex queries and technical assistance. By harnessing the power of artificial intelligence and machine learning, specifically Generative AI, SMAQ enables users to effortlessly access and analyze data through natural language inputs. From setting up SMAQ with your database to customizing and saving charts, the brand offers a seamless experience for conducting ad hoc analysis and retrieving data swiftly.

Moreover, SMAQ Library serves as the ultimate knowledge base for database clarity, ensuring alignment within organizations by understanding specific jargon and terminology. With SMAQ, users can gain precise insights and elevate their decision-making process with data-driven precision. Say goodbye to ambiguity and hello to clarity with SMAQ Library. Experience intelligent insights and streamlined data analysis at your fingertips with SMAQ.

## Industries

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

## Links

- [twitter](https://twitter.com/smaq_ai)
- [linkedin](https://linkedin.com/company/smaq-common-analytics)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idb1sZuEfR/w/256/h/102/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1786351878568)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idb1sZuEfR/w/367/h/367/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1786351878699)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Parsley | #14532d | accent |
| Racing Green | #0c1a14 | dark |
| Desert Storm | #fafaf9 | light |

## Fonts

- sans-serif — asset _(custom)_
- var(--font-geist-sans) — asset _(custom)_

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