Scalar Logic Group

We develop high-performance, secure-by-design state-space architectures for systems biology. Our work focuses on utilizing Non-Parametric Bayesian Swarms for real-time uncertainty quantification, moving past standard static LLM paradigms to model volatile, non-Markovian biological trajectories (such as immunotherapeutic resistance pathways). Committed to responsible open-source release, our tokenization pipelines incorporate proactive dataset filtering to screen and exclude eukaryotic viral sequences and pathogenic genomic constructs, ensuring safety throughout the model lifecycle.