# Alumbra - **Website:** - **Primary alias:** `alumbra.ai` - **Founded:** 2019 - **Employees:** 2+ - **Location:** Santiago, Santiago Metropolitan, Chile - **Company kind:** SELF OWNED ## Description Toraxia | Santiago is a brand that specializes in providing services in scientific computing, machine learning, and computer vision. They are experts in projects involving unstructured data for information extraction through automated analysis. With a multidisciplinary team, Toraxia is passionate about innovating and extracting value from images. They understand the hidden knowledge in stored images and real-time data-generating devices, and they develop integration methods for business intelligence solutions with existing IT ecosystems. Toraxia offers a range of services, including requirements gathering, infrastructure analysis, model and service development, and launch and testing support. They excel in artificial intelligence technologies like computer vision, predictive modeling, neural networks, web scraping, data mining, and service-oriented systems. With a strong emphasis on unstructured data, Toraxia can provide the necessary tools for successful artificial intelligence solutions. Contact Toraxia | Santiago today to unlock your creative potential and harness the power of information. ## Industries - ⛑ Biotechnology and Pharmaceuticals _(under Health)_ - ⛑ Health ## Links - [facebook](https://facebook.com/toraxia) - [linkedin](https://linkedin.com/company/alumbratoraxia) ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idAgjgw0wc/w/820/h/148/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1775559452546) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idAgjgw0wc/w/720/h/720/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1775559452701) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Red Violet | #cb147e | accent | | Creole | #070102 | dark | | White | #ffffff | light | ## Fonts - metropolis-semibold — asset _(custom)_ - metropolis-regular — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._