As the AI market was evolving, Pete Foley and Stu Bailey talked with many large, non-digital native enterprises and discovered there was a gap that wasn’t being addressed. That gap was the need for large enterprises to operationalize diverse types of models–not just new, AI models.
In 2016, ModelOp was founded to address this gap, creating a team with strong competencies in data science, software engineering, business process, risk management and compliance. ModelOp Center is the result of the early ModelOp team working with some of the largest global banks and financial institutions, and helping them accelerate the operationalization of their models—all types of models—and ensure that governance and regulatory requirements were strictly enforced and auditable.
Today ModelOp Center is recognized by analysts as a leading ModelOps software solution and core to any AI orchestration platform. Large organizations use ModelOp Center to govern, monitor and manage models across the enterprise and unlock the value from their analytic, machine learning and AI investments.