- **Company sizes**
- Best fit appears to be EPCs and owner-operators with sustained capital project volume.
- Typical organizational scale: enterprise-scale organizations; projects spanning multiple disciplines and requiring governance.
- **Industries / verticals**
- Process industries: oil & gas, chemicals, energy, LNG, refining, and large industrial facilities.
- Engineering-heavy, regulated environments where controlled changes and consistent deliverables are required.
- **Roles and personas**
- Decision makers: engineering directors, digital engineering / BIM managers, plant design leads, IT/OT stakeholders.
- End users: piping designers, equipment designers, structural designers, project administrators and model coordinators.
- **Pain points addressed**
- Multi-discipline coordination and clash/rule enforcement.
- Repeatable deliverable generation and reporting from a central model.
- Management of model complexity and change control.
- **Qualification criteria (good fit)**
- Ability to staff or contract dedicated Smart 3D administration and data governance roles.
- Formal training programs and disciplined standards.
- Requirement for a central, data-driven model used as the system of record for deliverables.
- **Deal disqualifiers (poor fit)**
- Organizations unwilling to invest in governance and administration overhead.
- Small teams with infrequent projects where heavy setup costs cannot be amortized.
- Requirements for modern, browser-first authoring across distributed teams that cannot be met by available Smart 3D deployment options.