National construction management firm scaling operations through AI and digital workflow automation
DeAngelis Diamond operates as a national construction management partnership managing $5B+ in projects across 13+ building typologies. The tech stack reveals a hybrid approach: mature adoption of Autodesk's ecosystem (Revit, BIM 360, Civil 3D) and collaboration tools (Procore, Bluebeam, PlanGrid) paired with emerging investment in AI-powered internal tools via Claude API, Python, and custom automation pipelines—signaling a shift toward automating bid response, preconstruction, and field workflows. Active hiring remains construction-focused (35 of 42 roles), but the project list highlights internal tooling and AI agent development, suggesting a concurrent push to operationalize efficiency gains.
DeAngelis Diamond is a partnership-structured construction management firm founded in 1996 and headquartered in Naples, Florida. The firm manages large-scale projects for automotive, healthcare, hospitality, government, retail, and residential clients, with specialties in commercial, multifamily, healthcare construction, and tenant improvement work. Operations span the United States with a workforce of 201–500 employees. Core challenges include constructability identification, schedule maintenance, budget forecasting, permit tracking, and field safety culture—areas where the company is actively building AI-assisted tools and workflow improvements.
Core tools include Procore, Autodesk BIM 360, Bluebeam, PlanGrid, Revit, Civil 3D, and AutoCAD for design and project management. Development uses Python, C#, React, and Azure DevOps for internal tooling and automation.
Active initiatives include AI-powered tools and workflows using Claude API, RFP response automation, preconstruction management, BIM/VDC coordination, field technology implementation, and subcontractor prequalification processes.
DeAngelis Diamond's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.