The phrase "custom AI solutions for healthcare" has been stretched to cover everything from a chatbot that answers FAQ questions to a clinician-reviewed diagnostic model trained on 10 million labeled images. That spectrum matters for vendor selection, because the right company for a conversational patient engagement tool is categorically different from the right company for a radiology AI system. This guide focuses on companies building meaningful custom AI — systems that process clinical data, generate outputs that influence care or operations, and operate under regulatory frameworks that hold their developers accountable for what those outputs say. Seven companies are profiled, each evaluated with a Strengths / Limitations / Verdict framework that gives you a direct, unhedged read on what each company does well and where it falls short.