Artificial Intelligence is more than just a language model.
At Almawave Labs, we believe the future of AI lies not in building more powerful and resource-intensive technologies, but in designing systems that are smarter, more efficient, and more sustainable.
AI Capabilities for Intelligent Systems
An intelligent system uses different capabilities to see, hear, understand, remember, reason, and act. That's why we develop language models, vision and speech technologies, orchestrated within governed multi-agent architectures.
Orchestration
Transform isolated capabilities into intelligent systems.
Knowledge
Connect data, content, and enterprise information.
Agents
Coordinate tools, processes, and decisions.
Language
Understand, analyze, and generate content.
Speech
Transform voice data into valuable knowledge.
Vision
Extract structures and insights from images and documents.
Our Technology
We have developed a technology ecosystem designed to combine and govern AI models and cognitive services within intelligent architectures.
Built from the ground up to enable sustainable, secure, and efficient AI systems, our technologies provide full control over data, processes, and infrastructure while ensuring maximum deployment flexibility, from cloud, PaaS, and SaaS delivery through AIWave, to on-premises installations, hybrid architectures, and edge environments.
AIWave Platform
AIWave is a Platform-as-a-Service designed to accelerate the adoption of Artificial Intelligence across business operations. Leveraging a low-code/no-code approach, AIWave offers a large set of tools, technologies, models and capabilities to:
Velvet Models
A family of multilingual and multimodal Large Language Models, fully designed and developed in Italy, with a strong focus on data governance and built in compliance with the European regulatory framework.
All models are natively integrated into ready-to-use applications that can be easily tailored to specific business needs, and support deployment support deployment through leading cloud providers as well as on-premises environments.
AI Foundation
Almawave Labs’ AI Foundations are technologies, models and tools that enable Artificial Intelligence capabilities to be translated into practical, efficient and scalable applications.
AI Boxes
Modular AI capabilities for understanding language, speech, images and documents, retrieving information and creating conversational experiences.
AIWave Studio
A low-code and no-code environment for configuring, orchestrating and rapidly bringing conversational search AI applications into production.
LLM Gateway
A unified access and governance layer for enterprise AI models, enabling organizations to seamlessly consume commercial LLMs, open-source models, Velvet foundation models, and fine-tuned variants through a single, consistent interface.
Compact Models
Compact, specialised models designed to address specific tasks efficiently, while ensuring ease of integration and optimised use of computational resources.
AI Applications
The easiest and fastest way to embed AI within your current business workflows. Link diverse data sources effortlessly through easy-to-use interfaces, and extract value from both unstructured texts and structured data with only minimal coding expertise. AI Applications redefine how people interact with data.
Our Approach
To provide our clients with the most efficient and reliable solutions, we have developed a specific approach to build AI applications and models.
A New Architecture for Intelligent Search and Knowledge
Governed Agentic Search is an advanced intelligent search paradigm that enables AI agents to discover, correlate, and contextualize information from multiple sources while ensuring reliable and consistent results.
To support solutions built on this approach, we developed a framework that includes AIWave Studio, a no-code environment for configuring and customizing AI applications, along with Prisma (Conversational Search Agent) and Sfera (Knowledge Agent), two products designed to support conversational search and enterprise knowledge management respectively.
Beyond AI Sovereignity
From national technological sovereignty to the operational sovereignty of organizations: we develop models, platforms, and methodologies that enable full control over the entire AI stack, reducing dependencies on external services and ensuring sustainable growth with predictable costs over the long term.
Our vision combines technological independence, governance, and deployment flexibility, allowing organizations to manage data, models, and infrastructure according to their own operational, security, and compliance requirements, while preserving decision-making autonomy, investment control, and the freedom to evolve technologically over time.
Model Customization
We tailor our models to specific tasks and industry domains, leveraging our expertise in dataset engineering to create balanced, high-quality training data. Beyond dataset creation, we define and apply training strategies tailored to each use case, optimizing models for the target domain and business objectives.
Organizations are supported throughout the process by the same experts who design and develop our models, ensuring superior outcomes and a lasting competitive advantage.
