TwinMaster has officially joined the Bentley Systems Ecosystem Catalog, marking the company’s first public partner announcement as it expands its AI copilot platform, Arch-e, into global infrastructure and engineering environments.
The announcement positions TwinMaster’s technology within one of the industry’s most widely used BIM ecosystems, enabling broader adoption of AI-powered digital twins across infrastructure design and delivery workflows.
Expanding AI Into Infrastructure BIM Environments
Arch-e introduces what TwinMaster describes as an AI-native cognitive intelligence layer designed to operate alongside Bentley BIM platforms. Rather than replacing existing modeling tools, the system is built to amplify them — embedding semantic reasoning, predictive simulation and multi-objective optimization directly into engineering workflows.
“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.”
Arch-e sits on top of modeling platforms such as Bentley, consuming outputs from BIM models and interpreting design intent across systems. The platform evaluates cost, carbon, energy, zoning, constructability, risk, daylight and lifecycle performance simultaneously, enabling teams to weigh competing priorities in real time.
Instead of functioning as a standalone analysis tool, Arch-e integrates directly into existing processes — offering context-aware recommendations without disrupting established engineering practices.
Multi-Objective Reasoning Across the Project Lifecycle
“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 capable of understanding spatial relationships, material performance, regulatory constraints and system dependencies. This semantic layer allows natural-language interaction and contextual reasoning, enabling project teams to rapidly explore design trade-offs.
According to TwinMaster, the system applies domain-trained AI agents across multiple performance categories, combining physics-based simulation with AI-driven prediction models to support real-time optimization. The goal is to shift decision-making from retrospective review to continuous performance tuning throughout the lifecycle of a project.
“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.”
Key Capabilities of Arch-e
The platform’s core features include:
- Semantic graph-based BIM digital twins
- Domain-trained AI reasoning for contextual design insight
- Multi-agent collaboration across energy, cost, carbon and related domains
- Hybrid predictive simulation integrating physics-based and AI models
- Real-time multi-objective optimization to identify Pareto-efficient solutions
By embedding these capabilities within the Bentley ecosystem, TwinMaster aims to accelerate digital transformation in infrastructure delivery, particularly for complex projects requiring coordination across numerous engineering disciplines.
Industry Recognition and Market Positioning
Arch-e’s development has already earned industry recognition. In 2025, the platform received “Best Innovation” honors from the American Institute of Architects, was named “Technology Innovation Leadership in AEC” by a global research and advisory firm, and was recognized as a finalist for “Best Innovation” at the Construction Computing Awards.
The addition to Bentley’s ecosystem reinforces a broader trend within the architecture, engineering and construction (AEC) industry: integrating AI into BIM environments to enable faster scenario modeling, early conflict detection and improved sustainability performance.
As infrastructure owners and contractors face mounting pressure to reduce carbon, manage costs and deliver complex projects under tighter timelines, AI copilots like Arch-e are emerging as tools designed to augment — not replace — professional judgment.
About TwinMaster
TwinMaster is an AI-focused technology company developing Arch-e, a cognitive AI copilot platform for architecture, engineering, construction and infrastructure sectors. The platform enables real-time, multi-objective reasoning across cost, carbon, energy, zoning, constructability, risk and lifecycle performance — converting BIM models into intelligent digital twins designed to support better decisions at every stage of project delivery.
Originally reported by Twin Master in Construction Dive.
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