Medical imaging AI for diagnosis, drug discovery, and clinical workflows
LPIXEL builds diagnostic AI for medical imaging, with two core products: EIRL (physician-facing diagnostic support) and IMACEL (drug discovery and research). The stack is tightly focused on medical data formats (PACS, DICOM) plus Python and AWS, with recent LLM adoption (ChatGPT, Claude, Gemini, GitHub Copilot) — suggesting integration of generative AI into clinical interpretation workflows. Hiring remains sparse but skews data and research, while documented pain points center on physician adoption friction and talent gaps in ML engineering.
LPIXEL is a Tokyo-based medical AI company founded in 2014, now serving diagnostic imaging, pharmaceutical research, and clinical operations. The company operates two main product lines: EIRL, which assists radiologists and clinicians in image-based diagnosis across conditions including cancer and chest pathology; and IMACEL, which supports academic and pharma teams in image analysis for drug discovery. The organization of ~51–200 employees includes cross-functional teams spanning engineering, data science, research, product, and sales, with active hiring in Hungary and Indonesia.
Python for model development, PACS and DICOM for medical data standards, AWS for cloud infrastructure, and TCP/IP for connectivity. Recently adopted ChatGPT, Claude, Gemini, and GitHub Copilot.
EIRL is a diagnostic support AI for radiologists and physicians across cancer screening, chest X-ray analysis, and general image interpretation. IMACEL is an image analysis platform for academic institutions and pharmaceutical companies in drug discovery workflows.
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