# Hum.Ai - **Website:** - **Primary alias:** `hum.ai` ## Description HUM.AI is a technology company building multimodal foundation models designed to help understand the real world. Its stated ambition is to develop general intelligence for the physical world, using large-scale data to train models that can interpret information beyond text. The company says it is training on thousands of terabytes of satellite imagery, placing Earth observation at the center of its work. This focus connects its research to the planet and to the potential for creating a positive impact through better understanding of Earth. HUM.AI presents its work as research-driven, with careers available for people interested in contributing to this mission. The company’s website also provides contact information and links to its privacy policy. While the available information does not specify particular commercial products, customer services, or model capabilities, it clearly identifies HUM.AI’s core area as multimodal AI research grounded in satellite imagery and the physical world. Its work is oriented toward developing tools and intelligence for interpreting real-world data, with Earth observation as a key application area. ## Industries - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ ## Links - [linkedin](https://linkedin.com/company/hum-ai) ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idt__NCpH1/w/820/h/289/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791132197181) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idt__NCpH1/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791132197300) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Black | #000000 | dark | | Shingle Fawn | #724a34 | accent | | Hit Pink | #fab07f | light | ## Imagery - banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idt__NCpH1/w/1584/h/396/idZIbFCDpN.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791132197478) --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._