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MeltPlan

AI-native preconstruction platform with code compliance and takeoffs

Construction-aware AI platform for preconstruction planning, code compliance (MeltCode), and AI-assisted quantity takeoffs (Melt Takeoff). Serves owners, architects, GCs, and specialty trades with automated estimating and model coordination.

Unfunded (pre-seed) raised 🧪 Beta

Founded 2025 • Beta stage (customer list not publicly specified)

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Why This Tool Exists

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The Problem

Construction teams spend 5-10 hours daily on preconstruction tasks: manual code compliance research, tedious quantity takeoffs, and fragmented collaboration across trades. Errors discovered late in projects cause costly rework and schedule delays.

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The Solution

Construction-aware AI platform automates preconstruction workflows. MeltCode instantly researches building/fire/electrical/mechanical codes. Melt Takeoff uses computer vision and construction knowledge to generate quantities with estimator verification. Shared platform enables real-time coordination across owners, architects, and GCs.

How You Use It

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Delivery Method

SaaS Mobile App

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Integrations

Not publicly specified

Disciplines

Architecture, Structural Engineering, MEP Engineering, Construction, Owner/Developer

Project Phases

Pre-Design, Bidding/Procurement, Construction Administration

Project Types

Commercial, Residential, Mixed-Use, Industrial, Institutional

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Construction drawings, BIM models, Project specifications

Optional: Drawing set history, Code jurisdiction information, Custom takeoff templates

Formats: DWG, IFC, PDF, Construction specs

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Output

What you get

Format: Quantity takeoffs, code compliance reports, coordination data

Fields: Extracted quantities by trade, Code compliance results with citations, Model coordination clash detection, Estimator verification status, Scope distribution across trades

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Algorithm

How it works

Model: Proprietary Construction-Aware AI (model details not publicly disclosed)

Accuracy: Target near 100% through estimator verification (specific accuracy metrics not published)

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Privacy

How your data is protected

Retention: Not publicly specified

Training: AI trained on construction data (specific training data sources not disclosed)

Compliance: Claims industry-standard security (specific certifications not publicly available)

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Automated building and fire code compliance research for architects and inspectors
• AI-assisted quantity takeoffs with estimator verification
• Rapid cost estimation and financial feasibility analysis for owners
• Model-based scope distribution and coordination across trade partners
• Real-time design collaboration across stakeholders
• Multi-trade coordination and clash detection

Pricing

Free

Limited free AI code searches available monthly

Pro

MeltCode: jurisdiction-based pricing (contact for rates). Melt Takeoff: $1k-$5k per project based on size (under 25k sq ft: $1k; 25k-100k: $2k; 100k-500k: $3.5k; 500k+: $5k)

Enterprise

Contact for custom platform subscriptions and volume pricing

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

Data Sources (8)

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Verified Data (19)

problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, vendor, website, yearFounded, maturityStage, input-required, input-optional, input-formats, output-fields, output-structure, control-features, use-cases, pricing-free, pricing-pro

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Not Found (10)

fundingTotal, integrations, privacy-retention-period, privacy-training-data-sources, privacy-compliance-certifications, api-documentation, algorithm-model-details, algorithm-accuracy-metrics, customerBase, enterprise-pricing

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.