Clinical trials are essential for creating new medical treatments and are required to bring any new treatment to market. However, the whole process for a single drug takes many years due to inefficiencies in the system.

Human error and inefficient system design lead data management and analysis in clinical trials to take far longer and cost far more than it needs to. Companies running trials will lose tens of millions from lost trial data, and treatment development cycles, which place time of development at high importance, often lose at minimum 6 months from just data-related issues.

We automate a lot of the data processing pipeline for clinical trials, allowing for automatic error checking and rapid creation of an FDA-compatible submission. We also plan to automate analysis and long-term use the insights to improve patient recruitment.

Tau Clinical

Introduction

Problem

Opportunity