Tempus AI acquired Deep 6 AI on March 11, 2025 to enhance its AI-driven patient recruitment and qualification capabilities for clinical trials. This acquisition aims to accelerate drug development and improve trial efficiency by integrating Deep 6's advanced data analysis infrastructure with Tempus' existing platform.

AcquirerTempus AI (US)
TargetDeep 6 AI (US)
Type of dealAcquisition
Deal valueUndisclosed
Close dateMarch 11, 2025
Announcement dateMarch 11, 2025
Financial advisors (buy side)CrossBorder
Legal advisors (buy side)Not disclosed
Deal rationaleTo enhance AI-driven patient recruitment and qualification for clinical trials, accelerating drug development and trial efficiency.

Deal mechanics:

Tempus AI acquired Deep 6 AI on March 11, 2025 to strengthen its position in the healthcare technology sector. The transaction was facilitated by CrossBorder as buy-side financial advisor for Tempus AI.

Strategic rationale:

The acquisition of Deep 6 AI will bolster Tempus' ability to analyze large and complex data sets, including genomic and clinical information, to advance precision medicine and streamline clinical trial processes. Deep 6's expertise in unstructured medical data analysis complements Tempus' existing platform, enabling the combined entity to provide more accurate patient matching for clinical trials.

Financial context:

The healthcare technology sector is witnessing a growing demand for AI-driven solutions as traditional recruitment methods face challenges. With an estimated market growth from $1.58 billion in 2023 to around $20.16 billion by 2033, the integration of artificial intelligence into clinical trials is becoming increasingly critical.

Advisors:

CrossBorder served as buy-side financial advisor for Tempus AI on this transaction.

Outlook:

The acquisition will enhance Tempus' capabilities in patient recruitment and qualification, contributing to the acceleration of drug development processes. By leveraging Deep 6's technology, Tempus aims to improve trial efficiency and increase patient diversity in clinical trials.