The often-chaotic world of B2B accounts receivable, a domain still largely governed by spreadsheets and manual follow-ups, has a new contender aiming to impose order. Lunos AI has officially emerged from stealth, armed with a $5 million seed round to scale its intelligent platform designed to transform how businesses manage incoming payments.
The company is moving beyond simple automation to build a predictive engine for enterprise cash flow, tackling the uncertainty that plagues finance departments.
For many companies, accounts receivable (AR) is a reactive process—a frantic chase for payments only after they become overdue. Lunus AI aims to flip this model on its head. Its platform ingests historical payment data, communication logs, and industry trends to build machine learning models that predict when an invoice is likely to be paid. This allows finance teams to move from being debt collectors to strategic cash managers, identifying potential late payers before an invoice is even due and tailoring communication strategies accordingly.
The core innovation Lunos AI brings to the market is its shift away from rule-based automation toward dynamic, predictive intelligence. Traditional AR software might automatically send a reminder on day 31, treating all clients identically. Lunos AI’s platform, however, creates a unique behavioral profile for each customer. By analyzing past payment cycles and communication patterns, its AI can determine whether a gentle nudge a week before the due date or a more formal escalation is the most effective path to prompt payment.
The new capital injection will be used to enhance these predictive capabilities and accelerate the company’s go-to-market strategy.
