Platform

Four specialist agents, from raw data to evidence-checked markers

Four specialist agents cover data management, processing, machine learning, and literature mining, so a project can run from raw data to evidence-checked markers on one platform.

Specialist agents for every stage of the analysis

PromptGenie, the platform’s main AI agent, orchestrates and coordinates the Genies to get the job done. Each Genie combines conversational AI with life-science domain knowledge. You direct the science; they carry out the work.

DataGenie

Data Management

Stores and manages your data and retrieves datasets from public databases such as SRA and GDC, so everything a project needs is in one place.

OmicsGenie

Data Processing and Analysis

Runs validated omics pipelines for standard assays, the pipelines released by the nf-core community, and NVIDIA Parabricks for GPU-accelerated processing of multi-omics data.

MLGenie

Machine Learning

Runs automated machine learning on omics data to build predictive models and rank the features that drive them.

MarkerGenie

Literature Mining

Uses natural language processing (NLP) and large language models to extract disease–marker associations from the literature, so you can check candidates against published evidence.

From project definition to evidence-checked markers

Four steps, each handled by the Genie built for it.

  1. 1

    Define the project

    DataGenie

    Describe the study, then search public databases and retrieve the relevant datasets.

  2. 2

    Process the data

    OmicsGenie

    Run raw omics data, and other biological data types, through validated pipelines on one platform.

  3. 3

    Model and analyze

    MLGenie

    Apply automated machine learning and downstream analyses to identify candidate disease biomarkers.

  4. 4

    Check the evidence

    MarkerGenie

    Check candidates against published evidence with AI-powered literature mining.

No-code to full-code

No code when you want speed. Full code when you want control.

Run an analysis by conversation without writing any code. When you want full control, work in notebooks, bring your own pipelines and code, or generate code on the platform to build custom tools and applications. Our aim is to make omics analysis accessible to every life-science professional, whatever their technical background.

See PromptBio in Action

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