ยทWHY PARSIM

Built to compress.
Engineered to
reason.

Four algorithmic commitments we hold across every inference pass, from prefill to autoregressive decoding.

16X RATIO

Lossless KV-compression, 16x factor

Built with adaptive attention subspace projection backed by zero-perplexity-drift guarantees.

10M+ TOKENS

10M+ long-horizon context, sustained

Proven stability across million-step agentic execution without degradation or attention sink collapse.

<1.2% O/H

Zero-overhead kernel, Bare-metal CUDA

Hand-tuned FlashAttention-3 and Triton kernels engineered for H100, B200, and TPU v5p clusters.

100% RECALL

Needle-in-haystack recall, 100% deterministic

Designed so no critical instruction or faint semantic dependency is ever dropped in the context abyss.