Pluto
Since its founding in 2021 from the Wyss Institute at Harvard University, Pluto has become a trusted partner of life sciences organizations around the country ranging from biotech start-ups to public biopharma companies. Our cloud-based platform gives scientists the ability to manage all of their data, run bioinformatics analyses, and create interactive and publication-quality visualizations. The platform is currently being used for a wide variety of biological applications, from preclinical / translational science research, to cell and gene therapies, drug discovery and development, to clinical research.
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SeqOne
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.
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Evagene
Clinical-grade pedigree analysis, finally in your browser.
Evagene unifies pedigree drawing, clinical data modelling, Bayesian risk analysis, and AI-powered clinical interpretation in a single platform. Standard ISCN/HGNC notation. Integrated BayesMendel engine (BRCAPRO, MMRpro, PancPRO). A 180+ disease catalog with ICD-10 and OMIM codes. Blood type and trait inference from 23andMe SNP data. Zero installs.
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DataChain
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.
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