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Stylib

AI-powered architectural material discovery and product data management

SaaS platform that simplifies how architectural specifiers discover and source materials using image search and semantic search, while providing suppliers with product catalog management and digital sales tools.

£1.5M raised 🚀 Early Stage

Founded 2021 • 10+ architectural product brands including Camira Fabrics, Designtex, Bute, Milliken, Saloni, Mutina, Domus

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Why This Tool Exists

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The Problem

Architects and specifiers spend 5-10 hours per week manually searching fragmented supplier catalogs and websites to find architectural materials. Suppliers lack unified product information management systems and struggle to reach designers, resulting in inefficient material discovery and lost sales opportunities.

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The Solution

Stylib provides a centralized architectural materials database with AI-powered image search and semantic search, allowing designers to upload inspiration photos to find relevant products. For suppliers, Stylib offers Hub (product data management), SearchTech (AI search widgets), and Showcase (digital mini-sites) to digitize catalogs and reach architects.

How You Use It

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Delivery Method

SaaS API

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Integrations

CRM integrations SearchTech widgets Custom data connectors

Disciplines

Architecture, Interior Design, Construction, Owner/Developer

Project Phases

Pre-Design, Schematic Design, Design Development, Construction Documentation

Project Types

Commercial, Residential, Hospitality, Healthcare, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Product images or descriptions

Optional: Design specifications, Sustainability requirements, Fire rating criteria

Formats: JPG, PNG, Product metadata (text)

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Output

What you get

Format: Searchable results with product specifications

Fields: Relevant product matches, Product technical specifications, Supplier information, Sustainability data (fire rating, environmental impact), Pricing and availability, Related alternatives

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Algorithm

How it works

Model: Proprietary machine vision and language models (specific architecture not publicly disclosed)

Accuracy: Not publicly specified

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Privacy

How your data is protected

Retention: Not publicly specified

Training: Trained on architectural material catalogs and user search behavior

Compliance: Not publicly specified

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API

Integration

Endpoint: API available through Hub Pro and SearchTech Pro plans

Method: Contact vendor for detailed API documentation

Use Cases

• Material specification for design development - architects upload inspiration images to find similar products from verified suppliers
• Supplier product discovery - designers search by material properties and sustainability criteria to discover products from architectural brands
• Material library creation - teams curate project-specific moodboards and material selections using Showcase showcases
• Product catalog management - suppliers manage SKUs, technical specifications, and sustainability data in Hub
• Supplier product visibility - brands reach architects through SearchTech widgets embedded on supplier websites

Pricing

Free

Database search (free for architects and specifiers); Hub Lite (free, up to 1,000 SKUs)

Pro

Hub Pro (from £400/month - unlimited SKUs, API access, bulk exports); Showcase Enterprise (from £40/seat/month); SearchTech Pro (from £600/month)

Enterprise

Custom pricing for large suppliers and multi-brand organizations

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

Data Sources (9)

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Verified Data (17)

problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, customerBase, input-formats, output-fields, output-structure, algorithm-approach, useCases, pricing-model, integrations

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Not Found (7)

privacy-policy-details, data-retention-specifics, compliance-certifications, algorithm-accuracy-metrics, exact-customer-count, api-endpoint-documentation, data-training-consent-policy

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.