Architecture, papers, & verified telemetry.

Engineered for real-time edge and cloud deployment. Suzune S1 eliminates the serial latency bottlenecks and stochastic hallucinations of autoregressive audio generation by predicting multi-band STFT magnitude and phase components directly. Achieves 24kHz studio HD audio at RTF 0.018 on GPU and RTF 0.087 on CPU cores with constant ~320MB VRAM.

Engineered for sub-100ms real-time chunk latency across diverse Indian linguistic landscapes, phonetic variations, and heavy background acoustic noise. Unifies a multi-scale conformer encoder with an ultra-compact neural transducer, delivering word error rate under 7.8% on noisy edge audio with zero cloud dependency.

Swen replaces the quadratic KV cache bottleneck of conventional transformers with interleaved double-gated causal convolutions and sparse linear attention. Features native spatial coordinate embeddings and test-time verifiable scratchpads, enabling multi-step symbolic deduction directly inside consumer CPU L3 caches.

Engineered with deep conversational intelligence similar to DeepSeek, Reverie excels at nuanced multi-turn dialogues, structured reasoning, live web grounding, and dynamic diagram generation. It empowers developers and creators to prototype lightweight websites, interactive web games, and functional tools with speed and clarity.

A core engineering monograph authored by Darsh Yadav. Explores the mathematical limits of brute-force billion-parameter scale, demonstrates why production systems demand deterministic non-autoregressive guarantees, and articulates how a solo research studio achieves frontier efficiency through singular architectural focus.