Tempus AI logo

Tempus AI(TEM)

Challenger

AI precision medicine company. NASDAQ: TEM. 2025 revenue $1.27B (+83% YoY). World's largest clinical/molecular data library. Founded 2015, Chicago. 2026 guidance ~$1.59B.

Best for: Precision Medicine & Diagnostics
53
AI Score
Grade C↑ Trending
AI Visibility Score (Beta)
HealthcarePrecision Medicine & DiagnosticsTEMWebsiteUpdated April 2026

Brand Intelligence Graphcompany

Integrates with
Capabilities
Precision Medicine & Diagnostics

Company Overview

About Tempus AI

Tempus AI is an AI-powered precision medicine company founded in 2015 by Eric Lefkofsky in Chicago, Illinois. The company has built the world's largest library of clinical and molecular data, comprising over 40 million research records including 1.5 million with matched clinical-genomic data. Tempus provides precision medicine services across oncology, cardiology, radiology, and depression through Genomics, Data and Services, and AI Applications product lines.

Business Model & Competitive Advantage

Tempus operates at the intersection of healthcare data and artificial intelligence, generating revenue from diagnostic testing, data licensing to pharmaceutical companies, and AI-powered clinical tools. Its xT genomic profiling platform helps oncologists identify targeted therapies and clinical trials. Tempus' data library is approximately 20 times the size of the Cancer Genome Atlas, giving it a significant competitive moat.

Competitive Landscape 2025–2026

Tempus went public on NASDAQ on June 14, 2024, under the ticker TEM. Full-year 2025 revenue reached $1.27 billion, up 83.4% YoY, with diagnostics revenue at ~$955 million. For 2026, Tempus guided approximately $1.59 billion in revenue with ~$65 million in adjusted EBITDA, signaling its path toward profitability.

Founded
2015
Revenue
$1.27B
Curated content • Fact-checked and verified

Recent Activity

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10-Q
10-Q — 10-Q

Quarterly Report filed 2026-07-30

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Material Event filed 2026-07-30

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Material Event filed 2026-05-22

blog_post
Impact of FGFR3 Pathway Activation in Patients with Muscle-Invasive Bladder Cancer Treated with Neoadjuvant Chemotherapy

Background The prognostic value of FGFR3 pathway activation in patients with muscle- invasive bladder cancer (MIBC) treated with neoadjuvant chemotherapy (NAC) has not been established. Activation of FGFR3 signaling drives a subset of urothelial bladder cancers and classically results from pathogenic gene mutations (mut) or fusions (fus). Additionally, an RNA signature (FGFR-PRS) representing activation of … Continued The post Impact of FGFR3 Pathway Activation in Patients with Muscle-Invasive Bladder Cancer Treated with Neoadjuvant Chemotherapy appeared first on Tempus .

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A New HLA Genotyping Algorithm Shows Extremely High Accuracy and Concordance Between Tumor and Normal Samples

Background HLA genotyping, specifically HLA-A*02:01 is an actionable marker in uveal melanoma for Tebentafusp, a bispecific gp100 peptide-HLA-directed CD3 T cell engager, with ongoing clinical trials investigating its use in HLA-A*02:01 positive cutaneous and mucosal melanoma. However, prior work has shown a discrepancy in this marker between blood and somatic tumor testing (Seedor R et … Continued The post A New HLA Genotyping Algorithm Shows Extremely High Accuracy and Concordance Between Tumor and Normal Samples appeared first on Tempus .

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Retrospective Evaluation of an AI-Based Fusion Prioritization Agent for Oncogenicity Assessment in Clinical Sequencing

Background Categorizing gene fusions as drivers or passengers is a data-intensive challenge requiring manual interventions in all but the most well-established biomarkers. The large numbers of structural variants identified from genomic assays require a combination of tools to prioritize clinically relevant mutations in a timely manner. Recent advances in artificial intelligence (AI) and AI-agents have … Continued The post Retrospective Evaluation of an AI-Based Fusion Prioritization Agent for Oncogenicity Assessment in Clinical Sequencing appeared first on Tempus .

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Provider Insights and Utilization of Psychiatric Pharmacogenomics for Patients With Comorbid Breast Cancer and Emotional Distress

Background Patients with breast cancer frequently experience anxiety and depression, yet systemic delays in psychiatric care often leave oncologists to manage these conditions. The recent adoption of DPYD genotyping into NCCN guidelines for fluoropyrimidine safety marks a shift toward routine pharmacogenomic (PGx) integrations in oncology. This creates an opportunity to expand PGx to supportive care, … Continued The post Provider Insights and Utilization of Psychiatric Pharmacogenomics for Patients With Comorbid Breast Cancer and Emotional Distress appeared first on Tempus .

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Molecular Classification of Neuroendocrine Carcinoma of the Bladder

Background Neuroendocrine carcinoma (NEC) of the bladder is a rare and aggressive cancer with limited treatment options. Recent studies reported molecular subtypes resembling small cell lung cancer (SCLC), specifically those associated with transcription factors (TFs) ASCL1, NEUROD1, and POU2F3. A subset of bladder NEC remains unclassified. ATOH1 was recently identified as a TF associated with … Continued The post Molecular Classification of Neuroendocrine Carcinoma of the Bladder appeared first on Tempus .

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ESR1 Mutation Longitudinal Dynamics in RWD Cohort of HR+/HER2- Metastatic Breast Cancer Patients Treated With Standard of Care Hormonal Therapy

Background ESR1 mutations (ESR1m) are known drivers of resistance to aromatase inhibitors. While ESR1m has been linked to worse survival outcomes, clonal complexity over time has not been well-evaluated in a real-world context. Here we characterized longitudinal dynamics of ESR1m, including rare point mutation emergence and polyclonality in hormone receptor- positive/HER2-negative metastatic breast cancer (HR+/HER2- … Continued The post ESR1 Mutation Longitudinal Dynamics in RWD Cohort of HR+/HER2- Metastatic Breast Cancer Patients Treated With Standard of Care Hormonal Therapy appeared first on Tempus .

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Multimodal Immune Profile Score (IPS) Signature as a Predictive Response Biomarker to Immune Checkpoint Inhibitors in Tumor Mutational Burden-High (TMB-H) Advanced Pancancer Cohorts

Background Immune checkpoint inhibitors (ICI) have altered the oncology treatment landscape with improved outcomes. Despite approved predictive biomarkers for ICI such as TMB, refining selection can identify more patients (pts) who may benefit, as most TMB-H pts still fail to achieve response, a critical translational gap. Here we introduce IPS, a validated multimodal DNA-/RNA-based molecular … Continued The post Multimodal Immune Profile Score (IPS) Signature as a Predictive Response Biomarker to Immune Checkpoint Inhibitors in Tumor Mutational Burden-High (TMB-H) Advanced Pancancer Cohorts appeared first on Tempus .

Key Differentiators

Strong Challenger

Tempus AI is an established challenger with significant market presence and competitive offerings in Healthcare Tech.

Enterprise Scale

With $1.27B in revenue, Tempus AI operates at enterprise scale with proven market validation.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

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↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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