Differential Bio

Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.

Sennos offers an AI-driven fermentation sensing, analytics, and optimization platform that combines precision in-tank hardware, cloud-based intelligence, and intuitive monitoring to give producers real-time visibility and predictive control over fermentation and fluidic processes. Sennos’s modular SennosM3 sensor modules continuously capture high-fidelity data, such as temperature, pH, pressure, density, dissolved oxygen, and other critical parameters, from fermentation tanks and send it to the cloud. There, the SennosIQ analytics engine applies AI to convert raw data into actionable, predictive insights that help users spot issues early, benchmark batches against historical performance, optimize outcomes, reduce waste, and improve consistency across production. The Sennoslink interface ties everything together, delivering real-time dashboards, alerts, and intuitive control from desktop or mobile devices so operators can monitor and manage operations from anywhere with clarity.