
ModelOp has joined the NVIDIA Inception Program, a global ecosystem designed to support cutting-edge startups in AI and data science. For us, it’s a meaningful milestone that deepens our long-standing technical collaboration with NVIDIA—and helps us move even faster on what enterprises need from AI lifecycle management and governance.
At the simplest level, NVIDIA Inception expands our access to GPU resources, deep technical expertise, and go-to-market support—fuel that will accelerate how we bring next-generation governance capabilities to life. As Pete Foley, ModelOp CEO, put it: speed in AI governance isn’t a luxury anymore—it’s a requirement.
Why this matters: as enterprises deploy hundreds (or thousands) of models, governance leaders are under pressure to maintain performance, compliance, and risk visibility at scale. And traditional CPU-based monitoring systems can struggle under the computational weight of real-time, portfolio-level oversight. That’s exactly the problem ModelOp was built to solve—governing AI as a living, evolving portfolio, not a one-off project.
This partnership also builds on the work we’re already doing with NVIDIA technologies, including CUDA-accelerated GPU processing and the NVIDIA DGX platform for model fine-tuning—enabling real-time monitoring across AI portfolios, automated drift/anomaly detection, and faster access to compliance insights.
What we’re building next: conversational, agentic AI governance. With NVIDIA Inception support, we’re accelerating capabilities that let leaders interact with governance more naturally—asking questions in plain language and getting intelligent, real-time answers. That includes:
- AI governance agents to automate tasks
- Conversational queries of model performance across business units
- Instant insight retrieval on governance risks
- Interactive registration and documentation of new AI risks
- Automated production of compliance and policy reports
Bottom line: with NVIDIA’s GPU infrastructure and AI enterprise stack, ModelOp Center is evolving from a system of record into a more active, intelligent governance partner—surfacing insights, automating routine compliance work, and enabling proactive risk management as organizations scale generative and agentic AI.

