# ScanmarQED

- **Website:** <https://mmmlabs.ai>
- **Primary alias:** `mmmlabs.ai`

## Description

MMM Labs is a tech startup brand on a mission to revolutionize Marketing Mix Modeling (MMM) by providing trusted, open-source code to companies and small agencies. We believe in empowering businesses with the right tools to make informed decisions and avoid costly mistakes in budgeting. Our focus is on increasing the adoption of MMM in decision-making processes while promoting the correct and ethical use of modeling techniques.

At MMM Labs, we offer the opportunity to experience the power of open-source marketing mix modeling code. Our services include running and stack ranking models to deploy the best one for your business. We value collaboration and innovation, leveraging the latest in AI technology to enhance human output. Join us in building a community where transparency, accuracy, and shared success redefine the possibilities in marketing analytics. Explore the code today and start shaping the future of MMM with us.

## Industries

- 📊 Business and Consumer Services
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- 📊 Marketing and Advertising _(under Business and Consumer Services)_

## Links

- [linkedin](https://linkedin.com/company/mmmlabsai)
- [facebook](https://facebook.com/ScanmarQED)
- [instagram](https://instagram.com/scanmar.qed)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idgSNOiIVa/w/820/h/445/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1784930485708)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idgSNOiIVa/w/214/h/214/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1784930485782)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cadillac | #b05165 | accent |
| Black | #000000 | dark |
| Wewak | #f2979d | light |

## Fonts

- Georgia — asset _(custom)_
- Poppins — asset _(google)_

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