Orakl Oncology

Orakl Oncology

Paris, France· Est.
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Private Company

Total funding raised: $2.5M

Overview

Orakl Oncology is a Paris-based techbio company building a first-in-class, AI-native predictive platform to disrupt cancer drug development. The company's core technology involves creating 'Patient Tumor Avatars' from patient-derived organoids and multimodal data, which are used by a proprietary AI engine to predict clinical trial outcomes and identify novel drug targets. Spun out of Gustave Roussy, the company partners with hospitals to build its avatar collection and with pharmaceutical companies to de-risk their R&D pipelines, having raised €11M in seed funding from European investors.

Oncology

Technology Platform

AI-native predictive platform integrating patient-derived organoids (Patient Tumor Avatars) with multimodal genomic, transcriptomic, and clinical data. Uses a proprietary AI engine for zero-shot prediction of clinical trial outcomes and novel target identification.

Funding History

1
Total raised:$2.5M
Seed$2.5M

Opportunities

The massive inefficiency and cost of oncology R&D creates a urgent need for predictive tools that can de-risk clinical development.
The convergence of patient-derived organoid models and advanced AI presents a unique opportunity to build a more biologically relevant and predictive platform than those relying solely on historical datasets or simple models.

Risk Factors

The platform's core value depends on unproven predictive accuracy for clinical outcomes, a significant technical validation risk.
The company also faces intense competition in the AI-drug discovery space and must scale a complex, wet-lab-heavy biobank operation efficiently.

Competitive Landscape

Orakl competes in the crowded AI-for-drug-discovery sector against pure-play AI firms (e.g., Exscientia, Recursion), large biopharma internal efforts, and other organoid/avatar companies. Its key differentiator is the closed-loop integration of a proprietary, multimodal patient-derived avatar biobank with a clinical-outcome-focused AI engine.