Lantern Pharma Inc.

We are an artificial intelligence (A.I.) focused company dedicated to developing cancer therapies and transforming the cost, pace, and timeline of oncology drug discovery and development. Our development portfolio includes three clinical stage oncology focused product candidates and consists of small molecules that others have tried, but failed, to develop into an approved commercialized drug, as well as new compounds that we are developing with the assistance of our proprietary A.I. platform and our biomarker driven approach. Our A.I. platform, known as RADR®, currently includes more than 200 billion data points, and uses big data analytics (combining molecular data, drug efficacy data, data from historical studies, data from scientific literature, phenotypic data from trials and publications, and mechanistic pathway data) and machine learning to rapidly uncover biologically relevant genomic signatures correlated to drug response, and then identify the cancer patients that we believe may benefit most from our compounds. This data-driven, genomically-targeted and biomarker-driven approach allows us to pursue a transformational drug development strategy that identifies, rescues or develops, and advances potential small molecule drug candidates at what we believe is a fraction of the time and cost associated with traditional cancer drug development. On average, our newly developed drug programs have been advanced from initial A.I. insights to first-in-human clinical trials in 2-3 years and at approximately $1.0-$2.5 million per program. We have active clinical programs for our three lead small molecule drug candidates: LP-300, LP-184, and LP-284. These programs are focused on multiple important cancer indications, including both solid tumors and blood cancers. We have established a wholly-owned subsidiary, Starlight Therapeutics, to focus exclusively on the clinical development of our promising opportunities for central nervous system ("CNS") and brain cancers, many of which have no effective treatment options. We are also advancing an antibody-drug conjugate ("ADC") program focused on developing highly specific ADCs with highly potent drug-payloads. In January 2026, we introduced withZeta.ai - a generative AI platform purpose-built to empower researchers and clinicians to accelerate rare cancer research and drug development, dramatically improve research quality, and reduce R&D costs.