# ultimas.dev

- **Website:** <https://ultimas.dev>
- **Primary alias:** `ultimas.dev`

## Description

Ultimas.dev is an independent engineering studio specializing in AI, Big Data, and white-label product development. It helps businesses turn complex technologies into practical digital products, working behind the client’s brand while the client retains customer relationships. Its AI services include large language model and retrieval-augmented generation solutions, AI agents, and machine learning designed for real business processes, from knowledge-base search to operational automation. For data projects, the studio brings together dispersed information through data pipelines, data warehouses, and real-time analytics platforms. It also builds complete products, covering architecture, backend and web development, APIs and integrations, cloud infrastructure, and DevOps.

Ultimas.dev supports projects from initial discovery and planning through architecture design, prototyping, iterative development, launch, and ongoing product growth. Its process emphasizes agreed milestones, regular demonstrations, and access to code. At handover, clients receive source code, documentation, and knowledge transfer; confidentiality and ownership terms are established by contract. The studio can work as an extension of an existing team or take responsibility for development, enabling clients to focus on their business while Ultimas.dev provides the technical foundation.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idKyVetjVJ/w/820/h/820/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790943438097)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cod Gray | #101010 | dark |
| Alabaster | #fafafa | light |

## Fonts

- var(--sans) — asset _(custom)_

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