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Digital Blue Foam

AI generative design and spatial analytics platform

Web-based AI platform that combines generative design, spatial analytics, and sustainability insights to accelerate urban planning and building design projects with real-time multi-source data integration.

$2M (founder/friends/family + ongoing funding discussions) raised 📈 Growth Stage

Founded 2019 • 7,000+ users including Takenaka, Jacobs, AECOM, Emaar Properties, McKinsey

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Why This Tool Exists

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The Problem

Architecture and urban planning teams spend weeks on early-stage feasibility studies, manually analyzing site conditions, regulations, and sustainability metrics across multiple disconnected tools, causing project delays and increased costs.

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The Solution

AI-powered platform that automatically analyzes contextual data (climate, regulations, site conditions) and generates optimized building designs in real-time, reducing feasibility study time by 50% and BIM production by 75%.

How You Use It

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Delivery Method

SaaS Desktop App

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Integrations

Revit Archicad Rhino DBF Hub desktop application

Disciplines

Architecture, Civil Engineering, Facility Management, Owner/Developer

Project Phases

Pre-Design, Schematic Design, Design Development

Project Types

Commercial, Residential, Mixed-Use, Infrastructure, Institutional

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Site location/coordinates, Project parameters (building type, area requirements), Design constraints

Optional: BIM models, Project schedules, Sustainability targets, Local regulations

Formats: Geographic coordinates, IFC, RVT, 3DM, Project specification text

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Output

What you get

Format: Interactive 3D models with analytics dashboard

Fields: Generated building massing options, Sustainability metrics (carbon emissions, energy performance), Wind and solar analysis data, Feasibility scores and recommendations, Cost estimates, Compliance checks

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Algorithm

How it works

Model: Proprietary DBF Engine with LLM integration for urban diagnostics

Accuracy: Claims 15% cost reduction and 50% design acceleration (methodology not published)

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Privacy

How your data is protected

Retention: Project-based retention (specific duration not publicly specified)

Training: Not publicly specified

Compliance: CalOPPA compliance, CCPA compliance, Do Not Track honors

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Early-stage feasibility studies for urban development projects
• Automated building massing generation with sustainability optimization
• Multi-scenario analysis for planning approval processes
• Real-time carbon impact assessment during design iterations
• BIM-integrated generative design workflows
• Collaborative design reviews with stakeholder teams

Pricing

Free

Trial available (7 days full access)

Pro

Academic/Pro tier - join waiting list for pricing

Enterprise

Custom pricing for 1,000+ person organizations

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

Data Sources (7)

✅

Verified Data (9)

problem, solution, deliveryMethod, integrations, customerBase, fundingTotal, privacy-compliance, core-features, company-background

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Not Found (6)

api-documentation, detailed-pricing, specific-algorithm-details, retention-policies, compliance-certifications, training-data-usage

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.