​At Decatron.ai, we are creating a new category of AI computation.
Built on our patented mathematical framework, Decatron’s breakthrough Energy-Based (EBM) convergence technology replaces brute-force computation with energy-driven convergence. This software-only compute technology is designed to accelerate GEMM - the matrix-multiplication workload at the core of today’s LLMs—while dramatically reducing GPU energy consumption.

The same breakthrough EBM technology also powers GERVIS - Decatron’s next-generation AGI foundation.
GERVIS is designed to observe, reason, plan and imagine, decide, act, learn, and continuously improve. It operates as a general-purpose, energy-based convergence solver - moving beyond brute-force tensor prediction toward deterministic activation, convergence, and resolution.

Unlike conventional AI architectures, GERVIS is not built on tokens, model weights, or next-token prediction. It represents a fundamentally different computational foundation for general intelligence.

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