Built for
Industry: Collectibles · Delivered: AI Grading Intelligence
Turned Manual Grading Research Into AI Recommendations for Pokemon Card
A hybrid ML and LLM engine compares raw and PSA-graded prices across 61,000 cards and recommends the grade.
~61,000 CARDS TRACKED • DAILY PRICE PULL • PSA 9 AND PSA 10 SCOPE • ~5-15 MIN DAILY RUN
The problem
Grading calls got made on gut feel, not on real card data.
Industry pain. Collectors and investors track raw and graded card prices by hand across scattered listings. Pokémon card values move fast, and a slow call misses the window.
Pokemon Card’s version. Roughly 61,000 cards move through the PSA 9 and PSA 10 market, each with its price, grading cost, and margin. Comparing all of it by hand does not scale.
An AI Platform Built To Turn Card Data Into a Daily Grading Call.
It automates the document-heavy part of grading decisions for Pokémon TCG collectors and investors: pulling prices, forecasting where they’re headed, and writing the recommendation, for every card in the set, every day.
In one screen
Every Card’s Price, Forecast, And Grading Call Together.
Your team opens one card and sees the current raw and PSA price, where the forecast says it’s headed, and the recommendation, side by side, with nothing to reconcile by hand.
Data Collection
Prices, pulled and validated daily.
Every day, the platform pulls raw and PSA 9/10 prices for roughly 61,000 cards from PriceCharting, validates them, and stores them in SQL automatically, with no manual download.
Forecast & Recommendation
A grading call, in plain English.
A regression and smoothing model forecasts where each card’s raw and graded price is headed, and a language model turns the strongest opportunities into a plain-English call: grade, hold, or skip.
Solutions We Provided to Pokemon Card
Automated daily data pipeline.
PriceCharting prices pulled, validated, and stored without a manual step.
Role-based access control.
Separate USER and ADMIN privileges, hashed passwords, sessions that expire.
Stripe-integrated admin portal.
User, subscription, and payment management in a single dashboard.
Hybrid ML and LLM engine.
Forecasts trends, then drafts a plain-English grading recommendation.
Favorites and price alerts.
Users track cards and get notified in-app or by email when a threshold is crossed.
Sitting On Card Data You Can’t Act On?
30 minutes. Bring your card list and your grading questions. Walk out with an architecture you can build to.
Our process
Four Stages, Built Side By Side With Your Team Over Ten Weeks.
Discovery
Architecture
Build
Validation
Ten weeks end to end: planning and architecture, the dashboard and alerts, the pricing and AI engine, then the admin portal, testing, and launch.
Our partner
AI-powered grading intelligence for Pokémon TCG card collectors and investors.
What's inside
A Hybrid ML And LLM Engine Built To Call Grading Decisions For You.
A card’s full price history first runs through a forecasting model that predicts where its raw and graded value are headed next, across the entire roughly-61,000-card set, every single day, without a person touching a spreadsheet or re-checking a listing by hand.
For the strongest opportunities, a language model turns that forecast into a plain-English grading call your team reviews and acts on, backed by role-based access and encrypted sessions throughout. Admins see every user, subscription, and payment in one dashboard, every card stays validated against its original PriceCharting source, and nothing reaches a customer until it has passed that check.
The results
Before: grading calls made on guesswork. After: AI recommendations, daily.
Before
How calls got made.
Collectors compared raw and graded prices by hand across scattered listings, and grading decisions came down to gut instinct.
AFTER
How calls get made now.
The platform pulls prices daily, forecasts every card with ML, and drafts the grading call automatically.
Cards Tracked
Priced daily
Grading Tiers
Both grades compared
Data Refresh
From PriceCharting
ML Runtime
Full card set
Page Load Target
Dashboard target
Security Target
At launch
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Ready To Put Your Card Data In Plain English?
30-minute call. Bring a sample card list and your grading questions. We’ll walk through the architecture, the timeline, and what a fixed-scope build looks like for your business, start to finish, before you commit to anything.
Three questions buyers ask before they brief us.
Recommendations are checked against PSA 9 and PSA 10 market prices pulled straight from PriceCharting, and spot-checked against expert grading calls before launch.