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Mattoboard

3D virtual material sampling and mood boards for designers

Browser-based 3D platform that lets interior designers and architects build photorealistic material sample boards from a digital-twin library of real manufacturer products, replacing physical sample sourcing with drag-and-drop virtual sampling and exportable spec sheets.

~$2.45M total (Pre-Seed: $450K, Aug 2022, led by Foundamental; Seed: $2M, Feb 2025, led by Acrobator Ventures with Masco Ventures, Home Depot Ventures, Blue Field Capital, SoundBoard Ventures) raisedEarly Stage
Founded 2022 · ~200,000 designers on the free tier; 2,000+ paying Individual/Pro subscribers (company-reported); Team Pro interest expressed by HOK, Treanor, GHD, Brookfield, and DIALOG per Mattoboard marketing materials (not independently confirmed as paying enterprise customers)
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WHY IT EXISTS

Why This Tool Exists

The Problem

Interior designers and architects traditionally build material presentation boards by physically requesting, storing, and photographing manufacturer samples (tile, stone, wood, fabric, metal, glass), a slow process that the company's CEO says leads teams to default to "whatever material samples were on hand" rather than exploring better-fitting options, and that must be redone for every new concept or client presentation.

The Solution

A web-based 3D board editor with a library of 1,000+ digital-twin materials and products (captured to reproduce real light, shadow, glossiness, and reflectance) that designers drag onto templates to build renderable mood boards, export as automated PDF spec sheets with product source links, or generate from scratch via "Design Stream," an AI feature (launched 2025) that turns a text brief, inspiration image, or floor plan into a rendered concept populated with real, sourceable products.

USAGE

How You Use It

Delivery Method
SaaSWeb App
Integrations
Not publicly specified (no confirmed BIM/CAD integrations such as Revit or SketchUp; privacy policy references connected third-party content services including Google Drive, Slack, LinkedIn, and YouTube)
Disciplines
Interior Design, Architecture
Workflows
Visualization & Presentation
Project Phases
Schematic Design, Design Development
Project Types
Commercial, Residential, Hospitality, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Material or product selections from the digital-twin library, Board template or blank canvas
Optional:Floor plans, Existing renders or photos to edit, Text prompts and inspiration images (for Design Stream)
Formats:JPG, PNG, PDF (material spec sheet export)
Output
What you get
Format:Rendered 3D mood boards and downloadable material spec sheets
Fields:Rendered board images, Material/product list with manufacturer weblinks, PDF material spec sheet, Video walkthroughs of boards
Algorithm
How it works
Model:Proprietary rendering engine ("Deep Render") for material light/shadow/reflectance simulation, plus proprietary generative image models for "Design Stream" (Mattoboard states it is training custom design-industry-specific models rather than relying on general-purpose foundation models)
Accuracy:Not publicly specified (no published benchmark for rendering fidelity or AI product-matching accuracy)
Privacy
How your data is protected
Retention:Not publicly specified (privacy policy describes cross-border storage and processing but no explicit retention period)
Training:Not publicly specified whether user-uploaded boards/images are used to train Mattoboard's AI models
Compliance:Cross-border transfer safeguards referenced for EU users (EU Model Clauses, UK International Data Transfer Addendum), No independently verified SOC 2, ISO 27001, or other security certification found
API
Integration
Endpoint:Not publicly specified - no public API or developer documentation found
Method:Not publicly specified
USE CASES

Use Cases

  • ·Building 3D virtual material sample boards for client presentations without sourcing physical samples
  • ·Generating downloadable PDF material spec sheets with product source links for procurement handoff
  • ·Rapid concept visualization from a design brief, inspiration image, or floor plan via Design Stream
  • ·Team collaboration on shared material libraries and boards across a design studio
  • ·Swapping and testing material or finish alternatives on an existing rendered image
PRICING

Pricing

Free
Free tier: 5 Matto AI credits, unlimited board creation, up to 10 image uploads and 10 material/paint uploads per board, 4 deep renders/month, limited templates
Pro
Individual/Pro: reported at $20-$30/month depending on source, plus a limited-time annual offer of $99/year (standard rate $299/year) for the first 1,000 signups; includes unlimited Matto AI credits, unlimited uploads, multi-format downloads, project folders, video export, and background removal
Enterprise
Teams: per-seat annual AI credits shared across the team, collaborative material boards, shared sample libraries, SSO, and floating-seat network licenses - contact for pricing
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Research Sources & Data QualityLast verified: 2026-07-17
Data Sources (12)
Verified Data (10)
problem, solution, deliveryMethod, fundingTotal (multi-source: pre-seed + seed rounds), yearFounded (per lead investor Foundamental; other sources cite 2020-2021), headquarters (Las Vegas, NV, with UK-based co-founder), founders (Guy Ailion, Sabina Khilnani, George Hart), pricing tiers/features (free vs. Individual vs. Teams), Design Stream AI feature description, privacy-policy data location and cross-border transfer language
Not Found (7)
exact single pricing figure (sources conflict: $20/mo, $30/mo, and $99-$299/yr), named BIM/CAD software integrations, API/developer documentation, independently verified security certifications (SOC 2/ISO 27001), AI model architecture and accuracy benchmarks, data retention period, independently confirmed enterprise customer contracts (only marketing-stated firm interest)
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.
ALTERNATIVES

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