Apiphany

Apiphany is a physics-first AI platform for manufacturing and product engineering. Its work sits at the intersection of physics-trained AI models, machine learning applied to engineering data, and the analysis of unstructured technical documentation. The company's stated aim is to address the estimated 90% of engineering data that is trapped or inaccessible within hardware development, drawing it out of systems such as PLM, ERP, FMEA and CAD.

The Apiphany Platform applies physics-informed models that account for design specifications, program constraints and physical principles. It converts unstructured engineering data into real-time insights, supporting faster decisions, cross-team alignment, early detection of quality issues and retention of institutional knowledge. Reported figures include 5-15x more relevant output compared with alternatives, elimination of 43% of recurring issues and 37% faster resolution times.

The platform is used across automotive, aerospace, medtech, energy and industrial equipment. Customers include NVIDIA, Boeing, NASA, ABB, Suzuki, Volvo and Eli Lilly. For regulated work, Apiphany supports deployment to Azure Government Cloud and AWS GovCloud, along with FedRAMP-authorized locations in the United States, and caters to ITAR- and EAR-controlled environments with SOC 2 Type II and ISO 27001 requirements.

Apiphany operates globally and is backed by investors with links to Markforged, Databricks, GM and Character.