Bentley Systems has officially announced the addition of TwinMaster to the Bentley Ecosystem Catalog. This marks TwinMaster’s first public partner announcement as it expands Arch-e into global infrastructure and engineering workflows.

TwinMaster’s copilot, Arch-e, introduces an AI-native cognitive intelligence layer designed to operate alongside Bentley BIM environments—bringing semantic reasoning, predictive simulation, and multi-objective optimization directly into design workflows. Arch-e is designed to think like an architect and reason like an engineer.

“We are pleased to welcome TwinMaster to the Bentley Ecosystem Catalog,” said Caroline Keane of Bentley Systems. “Arch-e introduces an AI-native intelligence layer that enhances BIM environments with semantic reasoning and predictive insight, helping infrastructure teams explore trade-offs and optimize decisions more intelligently.”

Bringing Infrastructure AI to Design Intelligence

Arch-e sits on top of leading modeling platforms like Bentley—amplifying them with multi-objective reasoning across cost, carbon, energy, zoning, constructability, risk, daylight, lifecycle performance, and other key performance metrics. 

Rather than replacing existing tools, Arch-e consumes their outputs, understands design intent, and reasons across systems simultaneously to provide trusted, context-aware insights. Arch-e empowers architects and engineers to iterate faster, reduce rework, and improve overall design performance.

“This marks an important milestone for TwinMaster,” said Michael Jansen, Co-Founder & Chief Business Officer of TwinMaster. “Bentley is a global leader in infrastructure and engineering software. Together, we’re demonstrating how AI Copilot–powered digital twins can embed multi-objective intelligence directly inside real engineering workflows — helping firms make smarter, faster, and more resilient design decisions without disrupting the platforms they rely on.”

Arch-e transforms geometric and parametric BIM models into semantically structured Digital Twins that understand spatial relationships, system dependencies, material performance, regulatory constraints, and design intent. 

This semantic foundation enables natural-language interaction, contextual reasoning, and rapid exploration of trade-offs across cost, energy, carbon, daylight, zoning, and constructability.

This represents Infrastructure AI applied to real-world design intelligence—supporting project teams in evaluating scenarios faster, identifying conflicts earlier, and optimizing performance continuously rather than retrospectively.

Arch-e’s Key Capabilities

• Semantic graph-based BIM Digital Twins
• Domain-trained AI reasoning for contextual design insights
• Multi-agent collaboration across energy, cost, carbon, and other critical performance domains
• Hybrid predictive simulation combining physics-based and AI models
• Real-time multi-objective optimization to identify Pareto-efficient solutions

“Arch-e was built to think like an engineer and reason like a systems architect,” said Dr. Prasanta Bose, CEO & CTO at TwinMaster. “By combining semantic digital twins with domain-trained AI agents, we enable continuous, multi-objective optimization inside real infrastructure workflows.”

By extending Bentley BIM workflows without disrupting established engineering practices, TwinMaster demonstrates how ecosystem innovation accelerates smarter infrastructure delivery across the project lifecycle.

Industry Recognition

Arch-e’s innovative capabilities have already been recognized in 2025:

• AIA 2025 – “Best Innovation”
• A Global Research and Advisory Firm – “Technology Innovation Leadership in AEC” (2025)
• Construction Computing Awards – Finalist, “Best Innovation” (2025)

TwinMaster and Bentley Systems share a commitment to advancing digital transformation in infrastructure through open ecosystems and intelligent technologies.

• Explore TwinMaster’s Arch-e in the Bentley Ecosystem Catalog:
  https://www.bentley.com/ecosystem-catalog/catalog/34568
• Learn more about the Bentley Ecosystem Catalog:
  https://www.bentley.com/ecosystem-catalog/