Lightship vs Tempus
Side-by-side comparison of AI visibility scores, market position, and capabilities
Lightship is a clinical research organization (CRO) specializing in decentralized and hybrid clinical trial design, combining in-clinic visits, at-home appointments, mobile research units, and digital health tools to improve participant access and.
About
Lightship is a clinical research organization (CRO) founded with the mission of reimagining how clinical trials are designed and conducted to dramatically improve participant access and health equity. Traditional clinical research requires participants to travel to major academic medical centers or specialized research sites for frequent, often burdensome in-clinic visits — a model that systematically excludes working adults, rural populations, elderly patients, and underrepresented communities. Lightship designs and executes studies using a spectrum of participation modalities: traditional in-clinic visits, at-home appointments with study nurses who travel to participants, mobile research units that bring clinical procedures to community locations, and digital health tools that enable remote data collection between visits.
Publicly traded AI precision medicine company (Nasdaq: TEM); $1.27B revenue in 2025 (+83% YoY); $14B+ market cap; genomic profiling, algorithmic diagnostics, and clinical trial matching across oncology, neurology, and cardiology.
About
Tempus AI is a technology company applying artificial intelligence to advance precision medicine across oncology, neurology, psychiatry, and cardiology. Founded in 2015 by Eric Lefkofsky (co-founder of Groupon) and headquartered in Chicago, Illinois, Tempus built the world's largest library of clinical and molecular data and applies AI to help physicians make more personalized, data-driven treatment decisions. The company's core offerings include genomic profiling (sequencing tumor DNA to identify mutations and actionable targets), algorithmic diagnostic tests (AI-driven companion diagnostics for cancer treatment selection), clinical trial matching (connecting eligible patients to appropriate studies), and data licensing to pharmaceutical and biotech partners for drug discovery and clinical development.
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