A proprietary inference engine.

ZeroLLM aims to make AI model execution fast and straightforward to adopt. A proprietary engine designed for data centre workloads and clients with customised models, with automatic configuration as a development objective.

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Today

Working inference across multiple models.

Planned development

Expand performance validation and develop plug-and-play adoption. Efficiency and reduced computing costs are objectives to measure.

The problem

Running artificial intelligence models requires computing resources and effective software management. ZeroLLM addresses this need with a proprietary inference engine focused on performance and ease of use.

Intended applications

The project targets data centre inference workloads and clients using customised models. Its commercial direction is to provide an engine capable of supporting different AI processing requirements.

Research and development

The engine already runs multiple models. Development includes expanding performance validation, measuring efficiency and simplifying adoption through a plug-and-play experience. Economic benefits will be assessed through defined tests.

Investors / Open dialogue

Investing in
technology development.

MIAR welcomes conversations with investors interested in developing its proprietary technologies. The strategy starts with ZeroLLM and extends towards the application directions of Robots and Stratosfera. If you would like to explore an investment, contact us for an initial discussion about development plans and commercial prospects.

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