Aida Oncology

Aida Oncology

Is this your company? Claim your profile to update info and connect with investors.
Claim profile

Private Company

Total funding raised: $2.5M

Overview

Aida Oncology is a private, pre-revenue diagnostics company leveraging machine learning on RNA expression data to predict chemotherapy efficacy, starting with taxanes in breast cancer. The company has presented multiple clinical validation studies at major conferences (ESMO 2025, SABCS) for its multigene signatures. Its business model targets the large, underserved market of chemotherapy selection, aiming to reduce ineffective treatments and improve patient outcomes.

OncologyBreast Cancer

Technology Platform

OncoTect: An AI-driven, machine-learning platform that analyzes RNA expression from FFPE tumor biopsies to generate Drug Sensitivity Scores (DSS) predicting response to specific chemotherapy drugs.

Funding History

1
Total raised:$2.5M
Seed$2.5M

Opportunities

The €38B TAM for chemo selection is largely untapped, with no validated competitors focused on predicting response to generic chemotherapies, giving Aida a first-mover advantage.
Successful validation in breast cancer provides a blueprint to scale the platform to other major cancer types and drug classes, significantly expanding its market potential.

Risk Factors

Clinical adoption risk is high, as the company must prove its test changes physician behavior and improves outcomes convincingly enough to be integrated into standard workflows.
As a pre-revenue company, it faces significant financial and execution risk in navigating regulatory pathways and commercialization without a guaranteed revenue stream.

Competitive Landscape

Aida positions itself as having no direct competitors offering validated predictive tools for the most widely used chemotherapy drugs. It competes indirectly with broader genomic profiling companies (e.g., Foundation Medicine, Guardant Health) that focus more on targeted therapies and mutations, and with empirical treatment selection based on clinical guidelines alone.