The SEMQ Group is an AI infrastructure company developing a new symbolic representation layer for machine intelligence.

Modern AI systems rely on embeddings to represent meaning across language, images, code, and other modalities. These high-dimensional vector representations have become a foundational building block of modern AI, powering everything from search and recommendation to large language models and autonomous agents.

However, embeddings were originally designed as continuous numeric vectors, which makes them costly to store, difficult to version and unstable across time and models.

SEMQ introduces a new approach: converting embeddings into compact symbolic codes that preserve their semantic structure while enabling extreme compression, stable semantic identity and deterministic reproducibility.

By transforming embeddings into symbolic representations, SEMQ unlocks a new infrastructure layer for AI systems, enabling scalable memory for agents, semantic routing, reproducible AI pipelines and more efficient large-scale AI architectures.

Our goal is to help define the next generation of AI infrastructure: systems that are more efficient, interpretable, reliable and that enable developers to build persistent and scalable intelligence.

The SEMQ Group

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The SEMQ Group

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