The first fully subquadratic LLM architecture. 12 million token context window with compute that scales linearly, not quadratically. 1,000x less attention compute at 12M tokens vs frontier models. 52x speed improvement at 1M tokens. Perfect for processing entire classical text libraries in a single context.

Subquadratic architecture eliminates the quadratic scaling bottleneck of traditional transformers. Process entire classical text libraries — all of BPHS, Phaladeepika, and Brihat Jataka — in a single context window. Ideal for faith-tech workloads requiring deep cross-reference across thousands of verses.