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Compact Models

A model's effectiveness is not measured by its parameters, but by its ability to solve a problem. This is why we develop compact, specialized AI models. More resource-efficient and easier to deploy, they represent a scalable, sustainable solution that integrates easily into real-world applications. These models can be combined with generative systems within multi-agent architectures, where each component contributes specialized expertise to solving complex problems.

Vision

Document Analysis and RAG

Our computer vision models are Artificial Intelligence models specialized in analyzing images and documents, designed to extract structured information with high efficiency. Thanks to their ability to recognize layouts, tables, titles, paragraphs, images, and the relationships between elements on a page, they enrich and enhance Retrieval Augmented Generation (RAG) systems, improving the quality of indexing, search, and answer generation. Natively integrated with the Almawave Labs RAG platform, they make it possible to transform complex documents into structured, easily queryable knowledge.

Real-World Use Cases
A range of computer vision models specialized for real-world use cases, transforming images and video into information that business processes can use immediately. In the field of smart mobility and road infrastructure monitoring, they enable the automatic identification of obstacles, road surface anomalies, and signage, as well as the wear or damage status of critical elements such as guardrails, safety barriers, and other infrastructure assets.

Language

Compact Language Models are Artificial Intelligence models optimized for specific language use cases, such as classification, extractive summarization, sentiment and emotion analysis. Designed to ensure transparency, efficiency, and ease of deployment, they deliver easily interpretable results even in scenarios that require running in environments with limited processing capacity or handling large volumes of textual content, all while keeping operating costs low.

Speech

Compact Speech Models are Artificial Intelligence models specialized in speech transcription and understanding. Designed to ensure accuracy, efficiency, and ease of deployment, they make it possible to transform conversations, meetings, calls, and audio content into structured, easily usable text. Thanks to their low consumption of computational resources, they are the ideal solution for scenarios that require processing large volumes of audio content, even in real time, such as analyzing contact center conversations, ensuring high scalability and low operating costs.