Deloitte Launches Open Model Engineering Practice to Expand AI Flexibility
Event summary
- Deloitte launched its Open Model Engineering practice on September 2, 2026, to help clients deploy enterprise AI applications using open and proprietary models.
- The practice will initially focus on North America, Europe, and Asia Pacific, with plans to hire and certify forward-deployed engineers through fiscal year 2027.
- Deloitte will leverage NVIDIA Nemotron open models and NIM microservices for Agentic AI capabilities.
- The practice aims to provide flexibility, cost predictability, sovereignty, and control over data, intellectual property, and model behavior.
The big picture
Deloitte's new practice reflects the growing enterprise preference for flexible AI deployment strategies that balance cost, control, and regulatory compliance. By integrating open models with proprietary solutions, Deloitte aims to address key concerns around data sovereignty and intellectual property protection, positioning itself as a key player in the evolving AI services landscape.
What we're watching
- Market Adoption
- The pace at which enterprises adopt open models alongside proprietary solutions will determine the practice's success.
- Talent Scaling
- Whether Deloitte can effectively hire, train, and certify enough engineers to meet client demand by fiscal year 2027.
- Competitive Positioning
- How Deloitte's focus on open models will differentiate it from competitors in the AI services market.
Related topics