How can I analyze data from specific patient populations?

You can filter the integrated datasets (like TCGA and MOSAIC) using natural language commands specifying clinical or genetic variables, such as age, cancer type, or cell proportions.

Is K Pro Free different from the full version?

Yes. K Pro Free is for researchers/academics. The full K Pro is an advanced version with enhanced capabilities (like Autopilot Mode) for pharmaceutical teams.

How does K Pro ensure data traceability?

All synthesized insights and literature responses are grounded in specific sources (PubMed, knowledge bases). You can trace every claim back to its original data or paper for verification.

What kind of AI models power its analysis?

It uses agentic AI architectures capable of autonomous reasoning, likely incorporating specialized models for pathology image analysis, genomic data processing, and large language models for synthesis.

Can I integrate my own proprietary data?

Yes, the platform has features for connecting your own data sources and file uploads, though the full extent and preprocessing requirements are detailed in the 'Integrate your data' documentation.

How is the AI model governed and validated?

K Pro incorporates explicit model governance and AI ethics oversight. Findings are validated through wet-lab experiments and a global network of oncologists, feeding back to improve the models.

Directory/Search/AI Assistants/Owkin

Owkin

K Pro is an agentic AI platform designed to explore complex biology and accelerate biomedical research. It combines multimodal patient data, advanced AI for biological understanding, and agentic capabilities to help researchers make faster, more confident, and better-informed decisions. Key capabilities include consolidated knowledge from multiple sources, smart hypothesis testing, scientific writing assistance, and interactive data visualization. It is available in two versions: K Pro Free for researchers and academics, and an advanced version with enhanced capabilities for pharmaceutical teams. The platform empowers both technical and non-technical users to interrogate vast datasets using natural language, eliminating the need for coding.

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Added on

Sep 18, 2026

Agentic AIMultimodal dataPharma R&DLiterature reviewData visualizationHypothesis testing

Product information

Everything worth knowing about Owkin

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Agentic AI Platform

An agentic AI platform designed to explore complex biology and accelerate biomedical research by connecting multimodal data, AI understanding, and agentic capabilities for faster decisions.

Consolidated Knowledge & Literature Review

Synthesizes evidence-based insights from credible data sources (PubMed, biological knowledge bases) and partners with Consensus for AI-powered academic search across 220M+ peer-reviewed papers.

Smart Hypothesis Testing

Validates scientific hypotheses using advanced statistical reasoning and up-to-date datasets to explore support within current scientific evidence.

Interactive Data Visualization

Creates interactive plots and visualizations from datasets like TCGA and MOSAIC, allowing slicing and dicing of variables to uncover insights from complex patient data.

Scientific Writing Assistance

Generates high-quality, publication-ready text including review paragraphs, scientific summaries, and manuscript sections tailored to research needs.

Technical capabilities

Multimodal Data Network

Trained and validated on the world's richest multimodal patient data network, with findings explored through wet lab infrastructure and refined by a global network of oncologists and biologists.

Agentic AI Evolution

Continuously learns from real-world data, user feedback, and clinical validation, evolving toward fully automated R&D and a Biological Artificial SuperIntelligence.

Must watch videos

22:17

Tutorial22:17

The Owkin Podcast | Ullrich Keilholtz

🎙️ Ulrich Keilholz of Charité Comprehensive Cancer Center joins Owkin VP of Product Jonas Béal on slightly different edition of the Owkin podcast: a demonstration of how we build expert biomedical skills with leading academics in the field. Ulrich describes how systems medicine is a cornerstone to his understanding of the field - and how a skill could be built on that.

14:19

Tutorial14:19

Owkin x Super Human | Jon Levy

Behavioural scientist and NYT bestselling author Jon Levy talks to Thomas Clozel on the Owkin x Super Human podcast about why social integration is the single biggest predictor of how long we live, the science of trust, and what it actually takes to build real community.

16:34

Tutorial16:34

Owkin Podcast | Antoine Yver

Antoine Yver, physician-scientist and Sanofi board member joins our Head of Product Jonas Béal on the Owkin podcast to discuss three decades of oncology drug development, where AI is genuinely moving the needle in R&D, and why - as Antoine says - "knowledge kills innovation."

Who uses it

Real use cases, no hype

Clinical Trial Design

Identify optimal patient populations and validate biomarkers using multimodal data.

Drug Target Discovery

Explore biological relationships and validate novel targets across genomic and imaging data.

Literature Intelligence

Conduct rapid, evidence-based literature reviews from millions of peer-reviewed papers.

Biomarker Analysis

Visualize and stratify patient cohorts by genetic, clinical, and pathological variables.

Hypothesis Validation

Test scientific ideas against integrated real-world patient datasets and statistical reasoning.

Scientific Manuscript Drafting

Generate structured text for reviews, summaries, and publication-ready manuscript sections.

Portfolio Decision Support

Prioritize drug candidates and indications based on comprehensive, data-driven insights.

What's great

Direct access to massive multimodal patient datasets (MOSAIC, TCGA).
Natural language interface eliminates need for coding or complex tools.
Generates publication-ready text and interactive data visualizations.

Technical strengths

Synthesizes literature from PubMed and 220M+ papers via Consensus partnership.
Agentic AI architecture supports autonomous hypothesis generation.
Built-in statistical reasoning engine for hypothesis validation.

Where it falls short

Primarily tailored for pharma and oncology research, not general biotech.
Full functionality likely requires enterprise subscription (K Pro vs Free).
Reliance on proprietary Owkin data network (MOSAIC) limits external data flexibility.

Technical limitations

Model governance and ethics oversight imply restricted algorithmic transparency.
Dependent on specific data integrations (MCP, SSO) which may complicate setup.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

It's an agentic AI platform for biopharma R&D. It connects researchers with multimodal data to answer complex biological questions, validate hypotheses, and accelerate drug discovery decisions using natural language.