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AI diamond analysis & buying platform
GIA certificates alone can't reveal every flaw — buyers had no way to see light leakage, hidden inclusions, or symmetry issues before committing thousands of dollars to a diamond.
Two veteran diamond suppliers wanted to help engagement ring buyers avoid overpaying — but a GIA certificate alone hides real flaws: light leakage from poor cut proportions, high-risk inclusions certificates minimize, and off-center tables that reduce brilliance even in "Excellent" graded stones. Buyers had no easy way to catch this before spending thousands.
A proprietary AI diamond analysis tool using computer vision to scan actual diamond images and certificate photos — detecting light leakage, dead zones, high-risk inclusions and symmetry issues that grading reports alone don't surface. Paired with an AI-powered diamond search across millions of certified natural and lab-grown stones, plus a platform for unbiased retailer reviews and free expert consultations.
Buyers can now upload a diamond report or image and get an instant visual breakdown of hidden flaws before they spend a dollar, alongside search and comparison tools spanning millions of stones. The platform has helped thousands of couples buy with confidence, backed by a 4.9/5 Google rating.
AI furniture discovery & multi-vendor marketplace
Text-only search across a thousands-strong, multi-vendor furniture catalog missed visually similar products and gave buyers no way to shop from a photo of their own room.
A B2B furniture marketplace aggregating multiple Shopify vendors had thousands of listings with no unified way to search by style, space or budget. Text-only search missed visually similar products and offered no way to shop from a room photo.
Multimodal AI platform on a Supabase vector database, embedding every vendor listing for semantic and visual search. CLIP-powered image understanding enables search from product photos and room images, paired with an OpenAI conversational agent for natural-language discovery. Hybrid search blends semantic, visual and structured filters into one recommendation engine.
Buyers can describe furniture needs conversationally, upload a room photo for interior-aware suggestions, or find similar items from a single image — across the entire multi-vendor catalog. Cross-vendor discovery improved sharply, replacing manual browsing across dozens of individual seller stores.
AI invoice & receipt processing SaaS
Manual entry of invoice and receipt data was slow, error-prone, and left expense categorization inconsistent across the business.
Small businesses and freelancers were manually entering data from invoices and receipts into spreadsheets or accounting software — a slow, error-prone process that ate into hours every week and left expense categorization inconsistent across the business.
A financial automation SaaS that automatically extracts key data from uploaded invoices and receipts, categorizes expenses without manual input, and organizes everything into digital bookkeeping workflows. Documents are stored securely in the cloud, giving users and their accountants a searchable, always-up-to-date record without manual filing.
Manual data entry and expense categorization were replaced with an automated pipeline from upload to organized bookkeeping record — cutting the time businesses spend on financial admin and reducing categorization errors that come with manual entry.
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