# Akash

- **Website:** <https://akash.si>
- **Primary alias:** `akash.si`

## Description

Akash Research develops superintelligence platforms for institutions working in security, intelligence, and defense. Founded on the belief that regional expertise can help address the hemisphere’s most pressing challenges, the company brings together Latin American talent returning from international technology and research environments. Its team includes Olympiad medalists, researchers, and engineers with experience at the technological frontier, focused on supporting institutions across the region.

Akash’s platform, SERAPH, is currently in development. It is designed to bring institutional information, open sources, and geospatial intelligence together in a shared context. Specialized AI agents and models help users investigate questions, test hypotheses, and trace supporting evidence. The platform is also intended to update assessments as new information becomes available, while keeping human judgment at the center of the process.

With a regional conviction and a hemispheric ambition, Akash Research aims to provide decision-ready intelligence for those responsible for protecting their communities. Its work is guided by an ethical mission and a focus on the security challenges facing the Americas.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- ⚖️ Law and Government
- ⚖️ National Security _(under Law and Government)_

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idOqhZK_yA/w/820/h/47/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790753418841)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Tranquil | #e2fefe | accent |
| Swamp | #000505 | dark |
| Opal | #b5cccc | light |

## Fonts

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

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