The agentic AI platform for life sciences

Automate the routine. Uncover the unseen.

Ask the way you would ask a colleague. PromptBio’s agents find the data, run validated pipelines, build models, and check findings against the literature.

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Find public RNA-seq datasets for endometrial cancer and run a differential expression analysisTrain a classifier on my proteomics matrix and rank the candidate biomarkersCheck which of these markers are already linked to sepsis in the literatureFind public RNA-seq datasets for endometrial cancer and run a differential expression analysis

+ ContextAgent

DataGenieRetrieve public datasets from SRA, GDC, and more

OmicsGenieProcess raw data with validated pipelines

MLGenieBuild models and rank candidate biomarkers

MarkerGenieCheck candidates against the literature

Put your biological data to work

Data retrieval, processing, machine learning, and literature checks, brought together on one conversational platform.

Abstract illustration of connected data points

Ask it like you would ask a colleague

Conversational agents plan and run the analysis steps you would otherwise script by hand.

Run validated pipelines, or bring your own

Use the built-in pipelines as they are, or integrate your own to fit the study.

Go from data to results in one place

Agents orchestrate the workflow end to end, so a project moves forward without handoffs between tools.

The Genies

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.

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DataGenie

Data Management

Find and import public datasets from sources such as SRA and GDC, and manage them securely alongside your own data.

OmicsGenie

Data Processing and Analysis

Process raw data with validated pipelines for standard assays, nf-core community pipelines, or GPU-accelerated NVIDIA Parabricks.

MLGenie

Machine Learning

Build predictive models and rank candidate biomarkers with automated machine learning designed for omics data.

MarkerGenie

Literature Mining

Check candidates against published evidence, using disease–marker associations that NLP and large language models extract from the literature.

From project definition to evidence-checked markers

1
Define the project
DataGenie
Describe the study, then search public databases and retrieve the relevant datasets.
2
Process the data
OmicsGenie
Run raw omics data, and other biological data types, through validated pipelines on one platform.
3
Model and analyze
MLGenie
Apply automated machine learning and downstream analyses to identify candidate disease biomarkers.
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.

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