Tempus AI
AI-powered precision medicine
About Tempus AI
Tempus AI is a technology company advancing precision medicine by combining AI with one of the world's largest libraries of clinical and molecular data. The company has built a dataset of over 7 million de-identified patient records with matched genomic, transcriptomic, and clinical outcome data, enabling AI models that help physicians make more informed treatment decisions.
Tempus offers genomic profiling tests that sequence patients' tumors and use AI to identify relevant biomarkers, match patients to clinical trials, and suggest targeted therapies. The company's AI platform serves oncologists, researchers, and pharmaceutical companies, providing insights that accelerate drug development and improve patient outcomes.
The company went public in 2024 and has expanded beyond oncology into cardiology, radiology, and mental health. Tempus' data and AI platform is used by a majority of academic medical centers in the US and by leading pharmaceutical companies for drug development and clinical trial optimization.
Products & Services
Tempus xT
Comprehensive genomic profiling with AI-driven therapy matching for oncology
Tempus Lens
AI analytics platform for clinical and genomic data exploration
Tempus ONE
AI assistant for physicians providing real-time clinical decision support
Leadership
Notable Achievements
- ✓ IPO in 2024 as leading AI precision medicine company
- ✓ 7M+ de-identified patient records in dataset
- ✓ Used by majority of US academic medical centers
- ✓ Expanded from oncology into cardiology and radiology
Competitive Landscape
Companies competing in the same space as Tempus AI.
NexChron Coverage
Latest articles mentioning Tempus AI
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Google Cloud unveiled Gemini for Healthcare, an agentic AI platform that unifies EHR, billing, and CMS data to automate clinical workflows across health systems — putting it in direct competition with Epic and Microsoft Azure Health.
AMA Releases Framework Assigning AI Liability to Developers, Health Systems, and Physicians
The AMA released the first major framework for assigning liability when clinical AI harms a patient — filling a gap that federal regulators have not addressed and that courts will soon need to resolve.
Shield AI Raises $2.5B and Acquires Radar Maker Echodyne in $5.3B Deal
Defense AI firm Shield AI is acquiring radar startup Echodyne for up to $5.3 billion, backed by a $2.5B funding package at a $28.8B valuation — one of the largest deals in defense AI history.
Agentic AI Enters Commercial Farm Operations as Autonomous Systems Reach Planting and Harvest Decisions
Agentic AI systems are now making autonomous planting, irrigation, and harvest decisions on commercial farms without human prompts — delivering measurable cost savings while raising unresolved questions about liability when autonomous decisions cause crop losses.
80% of South Korean Judges Have Seen AI-Hallucinated Legal Precedents in Court
A new survey finds eight in ten South Korean judges have presided over cases with AI-generated fake legal citations — and 92% are calling for fines, mandatory verification, and disciplinary action.
91% of Patients Require Consent Before AI Touches Their Diagnosis — Healthcare Systems Aren't Built for That
Nine in ten patients require explicit consent before AI is used in their diagnosis, while 64% of providers are deploying AI for claims management — a trust gap with significant regulatory consequences.
AI Could Break Legal Systems — Not by Being Wrong, But by Being Right
A Stanford Law scholar warns that LLMs can now surface exploitable legal loopholes faster than courts and legislatures can close them. The problem is not that AI gets the law wrong — it is that AI gets it systematically right.
Sakana AI Introduces MASS: Foundation Models That Improve Themselves Using Teams of Virtual Agents
Sakana AI introduced Multi-Agent Self-Supervision (MASS), a training method in which AI foundation models improve themselves by orchestrating internal teams of virtual subagents — no human-labeled data required.
AMD Makes $1 Billion Equity Investment in Meta as Helios AI Rack Systems Enter Testing
AMD is investing $1 billion in Meta Platforms as its Helios rack-scale AI systems enter live testing at Meta data centers, challenging Nvidia's grip on hyperscaler AI infrastructure.
Hackers Weaponize OpenAI API in NIK C2 Framework for Credential Theft and Remote System Control
A new malware framework called NIK C2 hijacks the OpenAI API as its command-and-control channel, evading security tools that allow AI API traffic.
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