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Your AI Guide to the Perfect Truck
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"We built TruckMatch to be the Rosetta Stone of automotive data. A neural bridge that translates the chaotic language of dealer inventory into clear, actionable intelligence for the buyer."
10+ Years Automotive Digital Director
Neural Asset Verification & AI Architecture
We utilize Google’s Gemini models to parse natural language queries (e.g., "I need a truck that can tow a 5th wheel but fits in a standard garage") and match them against dealer inventory with high precision.
Our "Rosetta Vault" approach ensures that driver data is protected, adhering to high ethical standards while still providing monetization opportunities for dealers.
Conversational Discovery, Not Filters. Users interact with our AI agents to filter, compare, and locate vehicles without navigating through endless dropdown menus. The interface bridges the gap between complex consumer needs and dealer inventory in real-time.
Truckmatch.ai is a privacy-first automotive technology company. We are solving the fragmentation in vehicle search by replacing keyword filters with an intent-based discovery engine.
While traditional platforms rely on rigid database queries, Truckmatch.ai utilizes Google Gemini to understand complex human requirements—like towing capacity, payload physics, and lifestyle needs—matching drivers to inventory with semantic precision.
With over a decade of experience as a Digital Director in the automotive sector, Thomas Lewis founded Truckmatch.ai to bridge the gap between complex vehicle data and consumer intent.
By leveraging the Antigravity Neural Engine, we decode thousands of data points—from performance modifications to market duty ratings—delivering forensic-level transparency to every search.
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Accuracy
99.9%
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Direct Connection to Seller
Initializing market truth stream...