Quote time
Before
Days to weeks (designer + site visit)
With AI
30 seconds (AI render)
Shipped in production
A Custom AI Rendering Tool That Closes Deals.
Swap materials on any surface—driveway, floor, wall, or countertop—with pixel-perfect accuracy. If your business sells physical materials, show the customer exactly what their space will look like with your product installed, before they ever sign the quote.
AI-powered mockups for faster client presentations
What it does
Upload a simple smartphone photo of the target space. Select a material from your catalog. Within seconds, our AI product visualization service replaces the surface while preserving the original lighting, perspective, shadows, and edges.
Surface Mapping AI
Detects surface edges with precision, so materials are applied exactly where they belong.
Scene Matching Engine
Automatically matches lighting, shadows, and perspective to keep the visualization realistic.
Material Library Sync
Connects with material libraries, including eco-rubber, hybrid, premium, and custom textures.
Environment Lock
Keeps the customer's property unchanged, replacing only the selected surface.
Metrics that matter
Real transformations our clients see when this capability ships
Days to weeks (designer + site visit)
30 seconds (AI render)
$1,500-$5,000 per design quote
Near-zero (API cost only)
Customer sees result only after install - costly redos
Customer signs after seeing the exact outcome
20-30% industry average
45-55% with photo-real preview (typical lift)
How it works
A 5-agent pipeline runs on your server or on RunPod GPU infrastructure. Each agent has one job - analysis, segmentation, rendering, QA, refinement. Most renders complete in under a minute.
Analyzes the uploaded photo: lighting direction, time of day, perspective, the kind of surface in frame, and what to preserve (house, landscaping, vehicles).
Isolates the target surface region with pixel-level accuracy. No bleed onto driveways, lawns, or walls that should stay untouched.
Renders the chosen material onto the segmented region. Lighting and shadow from the original photo are preserved. The result looks like a photograph, not a paste-in.
Looks at the output and verifies realism. Flags seams, lighting mismatches, or boundary issues. Returns a pass/fail with a defect list.
If the QA agent flagged defects, this agent re-renders the problem regions. Maximum 2 retries. If it still fails, escalates to human review.
Human in the Loop
Your sales team can review and tweak the segmentation boundary before final render. Customers can drag handles to adjust where the new material starts and ends. Every render is logged for audit and account history.
Tech stack
GPT-4o VisionCLIPUnderstands uploaded photos, lighting, perspective, scene context, and visual references.
Detects accurate surface boundaries for material replacement.
Meta SAM3Generates realistic material replacement visuals.
Stable Diffusion 1.5
FastAPIHandles requests, processing logic, and communication between services.
Provides scalable GPU power for AI image processing and rendering.
RunPod GPUPowers the web interface and user experience.
Next.js 16Where this fits
This AI image generation for product configuration translates across multiple physical product industries. Whether you need a specific AI surface renderer for paving contractors or an AI texture replacement tool for landscaping, the underlying architecture remains the same.
Let's build something
Book a 20-minute call. No slides. No pitch. We'll tell you whether your idea is worth building—and if so, what it'll take to execute with the premier AI development company in Coquitlam BC and the Greater Vancouver area.
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