All Competitors

Long-context (64 kb) RNA foundation model using the Striped-Hyena architecture for zero-shot prediction of transcriptome architecture from unspliced pre-mRNA sequence.

OpenAI's first life-sciences frontier reasoning model, optimized for multi-step scientific workflows spanning protein engineering, genomics, drug-target discovery, and biochemistry reasoning.

Long-context generative RNA foundation model trained on 114 million full-length RNA sequences, supporting de novo design of tRNAs, aptamers, CRISPR guide RNAs, mRNAs, and circular RNAs.

A fully open structure-guided RNA foundation model pretrained on ~21M RNA sequences paired with secondary structures, enabling robust structural and functional inference.

A 1.6-billion-parameter RNA foundation model pretrained on 42 million non-coding RNA sequences, achieving state-of-the-art performance across 24 of 26 RNA understanding benchmarks.