Betteromics

DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.

SeqOne is an AI-powered genomic analysis platform designed to help molecular laboratories, clinical teams, biologists, and geneticists transform complex next-generation sequencing data into fast, precise, and actionable clinical insights to support personalized medicine diagnostics. It streamlines end-to-end genomic workflows, from raw sequencing files to variant interpretation and reporting, by automating routine pipeline tasks, integrating seamlessly with lab systems, and using advanced AI models such as DiagAI to rank and highlight disease-relevant variants with explainable scores, reducing manual effort and turnaround time. SeqOne supports germline and somatic analyses across applications, including oncology, rare and inherited diseases, and infectious disease detection, combining premium annotation databases and standardized interpretation guidelines to ensure clinical-grade accuracy within an intuitive user interface that scales via secure cloud.