Ark Invest Boosts Tempus AI Stake After 83% Revenue Surge and Launch of Paige Predict

TEMTEM

Ark Invest bought 13,532 Tempus AI shares on Jan. 22 for $925,047 after the company reported 83% 2025 revenue growth (111% in diagnostics), raising Ark’s total investment above $6.8 million. Tempus launched Paige Predict, an AI pathology application predicting 123 biomarkers from a single H&E slide to accelerate diagnostics.

1. Ark Invest Significantly Increases Stake in Tempus AI

On January 22, 2026, Cathie Wood–led Ark Invest deployed approximately $2.4 million to acquire 13,532 shares of Tempus AI across its Genomic Revolution and Innovation ETFs. This follows a larger purchase of roughly $5.85 million in Tempus AI shares just one day earlier, underscoring Ark’s conviction in the company’s growth trajectory. The move comes after independent research firms upgraded coverage on Tempus AI, highlighting its robust diagnostics revenue and market positioning.

2. Impressive 2025 Financial and Contractual Milestones

Tempus AI reported preliminary full-year 2025 revenue growth of 83% compared with the prior year, driven by a 111% increase in diagnostics revenue. The company also reached $1.1 billion in total contract value, securing over 70 data and collaboration agreements with pharmaceutical partners. In Q3 2025, Tempus AI achieved its first positive adjusted EBITDA, marking a key inflection point as operating efficiencies improved and volume in next-generation sequencing and digital pathology services ramped up.

3. Launch of Paige Predict Enhances Digital Pathology Offering

In early 2026, Tempus AI introduced Paige Predict, a suite of AI-powered digital pathology applications designed to analyze hematoxylin and eosin whole-slide images and predict the presence of 123 clinically actionable biomarkers across 16 cancer types. Built on a combined, de-identified dataset of over 200,000 patient records from Tempus and its subsidiary Paige, the solution delivers predictive biomarker insights directly to physicians’ reports, reducing the need for repeat biopsies and expediting treatment decisions when tissue samples are limited.

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