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TwinMaster

AI copilot-powered digital twin platform for architects

AI-powered digital twin software platform featuring Arch-e, an AI copilot that generates design options enriched with predictive insights on cost, energy, daylight, carbon, and compliance. Reduces planning time by 50% and rework by 30%.

$3.1M raised 🚀 Early Stage

Founded 2023 • Undisclosed (beta/early access phase, won BEST INNOVATION at AIA25 Boston conference)

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Why This Tool Exists

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The Problem

Architects spend weeks iterating on design concepts, manually checking zoning requirements, energy performance, and construction costs. Each design iteration requires separate analysis from different specialists, creating silos and delays. Many promising design alternatives are never explored due to time constraints.

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The Solution

Arch-e, a multi-agent AI copilot, acts like a digital design team where specialized agents handle energy, cost, constructability, and compliance analysis in parallel. Architects import 3D models and request design iterations in plain English, receiving instant design options with performance predictions. Design cycles that took weeks now occur in minutes with measurable performance data.

How You Use It

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Delivery Method

SaaS Web Application

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Integrations

Revit Rhino SketchUp

Disciplines

Architecture, Structural Engineering, Owner/Developer

Project Phases

Schematic Design, Design Development, Pre-Design

Project Types

Commercial, Residential, Mixed-Use, Education, Healthcare

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: 3D models, Project location context

Optional: Zoning information, Climate data, Project constraints, Design parameters

Formats: Revit models, Rhino files, SketchUp models, IFC, GLTF

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Output

What you get

Format: Design options with integrated performance analytics

Fields: Generated 3D design variants, Energy performance estimates, Cost analysis and budget impact, Daylight access predictions, Carbon footprint calculations, Zoning and compliance status, Constructability assessment

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Algorithm

How it works

Model: Proprietary multi-agent AI architecture with specialized agents for different design domains (inferred from product description)

Accuracy: Not publicly specified

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Privacy

How your data is protected

Retention: Not publicly specified

Training: Not publicly specified

Compliance: Not publicly specified

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Rapid generation and comparison of schematic design concepts with performance data
• Automated compliance checking against zoning regulations and building codes
• Real-time energy and cost impact analysis during design iteration
• Daylight access optimization for commercial and residential projects
• Carbon footprint reduction through design exploration
• Accelerated design development with reduced manual analysis time
• Team-based design collaboration with shared design intelligence

Pricing

Free

Free trial available

Pro

$19/month (early bird pricing) for TwinMaster Pro

Enterprise

Contact for enterprise pricing and SSO

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (7)

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Verified Data (19)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, input-required, input-optional, input-formats, output-format, output-fields, control-features, useCases, pricing-free, pricing-pro

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Not Found (13)

api-documentation, api-endpoint-details, privacy-policy, privacy-data-retention, privacy-training-data, compliance-certifications, soc2-report, detailed-algorithm-model, accuracy-metrics, named-customers, specific-enterprise-pricing, webhook-support, data-processing-agreements

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.