pipeline
Pathos is redefining how drugs are developed, starting with Oncology.
The PathOS™ platform integrates advanced AI technology, biological modeling, and the largest collection of Multimodal patient data to increase the Probability of Success. By uniting these disciplines under one operating system, PathOS™ transforms data into insight — and insight into therapies that reach patients faster.
To train the best AI models, you need the best data.
We have access to >200 petabytes of multimodal oncology data linked to patient outcomes.
This is 50x the size of The Cancer Genome Atlas (TCGA), the largest public genome dataset in oncology.
Pathos is transforming drug development through AI—integrating discovery, data, and clinical translation into one continuously learning system. With data and insight building impact, every stage of the process is connected, accelerated, and designed to reach patients faster.
Pathos three Core Engines
Scout uses advanced AI to identify the drugs that are most likely to identify patients that don’t benefit from the current standard of care.
- Scans the data for all investigational therapies
- Matches each therapy to the patient subgroup most likely to respond
- Produces a ranked list with the highest priority therapies
SCOUT
AI-Enabled Asset Selection Engine



SPRINT
AI-Enabled Clinical Execution Engine

Once Scout brings in an asset, it hands it off to a Sprint Pod, a small autonomous team that operates like an independent biotech company inside Pathos.
- Sprint Pods utilize the Pathos platform to design clinical trials that won’t fail
- AI Scientists and AI Engineers are core team members
- Sprint Pods are focused on moving the asset from A to B (e.g. from Ph1 to Ph2, from Ph2 to Ph3 ready)
FOUNDRY
Pathos AI Platform. The Brain of the company.

Foundry’s backbone is the Oncology Foundation Model we are building in partnership with Tempus and AstraZeneca — the largest model of its kind in the world
But Foundry is more than just a model. It leverages Pathos' wetlab to implement insight into the clinical validation lab-in-the-loop system.
