Lumo, a travel disruption technology company; and BizTrip AI, which provides agentic AI for corporate travel, announced a technology partnership that combines Lumo’s advanced machine learning models with BizTrip AI’s proprietary Travel LLM (large language models) and multi-agent platform, enabling business travelers to proactively avoid disruptions, optimize travel decisions in real time and deliver seamless traveler experiences at scale.

Lumo, according to the announcement, leverages machine learning models trained on millions of flights to predict, prevent and manage travel disruptions before they occur. BizTrip AI, said the announcement, “orchestrates” decisions across policy, budget, supplier content, traveler preferences and payments — far beyond traditional booking tools.

Together, said the announcement, the companies will enable travel managers and TMCs to move from reactive problem-solving to proactive, automated decision-making. The integrated solution, said the announcement, will surface predictive insights directly within BizTrip AI’s platform, allowing organizations to dynamically adjust itineraries, minimize risk and control costs — while delivering consumer-grade travel experiences for employees.

Bala Chandran, CEO of Lumo, said, “Travel disruptions are one of the biggest hidden costs in corporate travel, impacting productivity, budgets and traveler satisfaction.”  By partnering with BizTrip AI, he said, “we’re embedding our predictive intelligence into a powerful, agent-driven ecosystem that can take action in real time”

Scott Persinger, CTO of BizTrip AI, said, “Corporate travel has long been constrained by fragmented systems and reactive workflows.” His company’s agentic AI platform, he said, “is designed to orchestrate every aspect of travel dynamically, and Lumo’s predictive capabilities add a critical layer of foresight.” Together, said Persinger, “we’re enabling a fundamentally smarter travel program — one that continuously optimizes for cost, compliance and traveler experience without manual intervention.”