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Lighthouz AI's AI agents solve the biggest problems in logistics - AR and AP! 3PLs, brokers, factors, and carriers lose billions every year to slow invoicing, manual invoice audits, and billing disputes. Manual AP & AR processes create errors, disputes, cash flow bottlenecks, late fees —hurting everyone in the logistics supply chain. 🚛 The Problem: - Factors: Auditing and verifying carrier invoices, timely invoicing - 3PLs & Brokers: Verifying carrier invoices, creating own invoices, and handling disputes and chargebacks. - Carriers: Timely invoicing, Submitting correct and complete paperwork, Dealing with late payments, incorrect deductions, and manual paperwork. - Shippers: Struggling with invoice error identification and resolution, delaying payments. 📉 The Impact: The U.S. freight industry processes over $1.2 trillion in transactions annually, yet 25% of freight invoices contain errors, leading to payment disputes and delays. 🔹 Our Solution is an AI agent that automates invoice audits, rate verifications, invoicing, and collections in the logistics industry. With Lighthouz AI agents, businesses 10x their AR and AP processes.

Seals is a suite of AI Employees for Wholesalers & Distributors. Instead of relying on humans to quote, take orders, collect payments, place purchase orders and enter data into ERPs. We build AI Employees that do these manual repetitive tasks for the 700k wholesalers in the US. We’re a team of three Computer Science majors, and Fernando launched and grew AT&T in Mexico to $120M ARR. Previously, we all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers. We realized that almost every physical product comes from B2B sales in the supply chain. However, it turns out that most of these operations are still done manually through phone and email, involving tasks like quoting, taking orders, collecting payments, entering data into ERPs, and providing support. By automating these tasks with AI agents in a human-like manner, we are creating a massive opportunity to convert $100B of payroll expenses into software spending.