Hot 25 Travel Startups 2026: DirectBooker

DirectBooker

Headquarters: Arlington, MA

CEO: Sanjay Vakil

Website: DirectBooker

Founding date: July 2024

Investment: $2.3M

DirectBooker is reimagining hotel search for the AI era, enabling the 70% of travelers who prefer to book directly with hotels to easily compare options across the largest AI platforms. Founded by travel industry veterans who built Google Travel and Tripadvisor, it acts as an AI-native, supplier-aligned aggregator that absorbs the complexity of connecting hundreds of hotel systems and serving accurate, real-time pricing at internet scale. As travel search shifts from traditional search engines to conversational AI platforms, DirectBooker ensures hotels can compete effectively in this new paradigm—solving the same challenge that has long plagued direct channels: the inability to answer early-funnel comparison queries like "hotels in Berlin" without sending travelers to OTA intermediaries.

Below, we asked DirectBooker to share strategic goals for 2026 and lessons learned since founding.

Strategic goals for 2026

When a traveler asks any major AI platform to help plan a hotel stay, DirectBooker's goal is to be the invisible infrastructure layer that ensures they see comprehensive, accurate, real-time options across all hotels—with the ability to book direct at the best available rate.

We will build on existing partnerships to secure further rates and availability from a global hotel inventory of major chains and connectivity providers representing independent properties. 

We plan to become the default hotel data source across major AI platforms, launching production integrations that achieve preferred partner status and secure high visibility for direct booking options.

We hope to scale a technical foundation that delivers internet-scale performance across this massive inventory, combining intelligent caching with real-time updates. 

Lessons learned since founding

Since founding DirectBooker in 2024, we've learned that the shift to AI-powered travel search represents a critical, time-sensitive opportunity for hotels to reclaim distribution. Our partners have shown far greater interest and urgency around AI integration than traditional search, validating our strategic pivot.

We’ve also discovered that building for AI platforms requires fundamentally different approaches than conventional development: each LLM platform (OpenAI, Google, Anthropic) demands unique strategies and products, while building on the quicksand of rapidly evolving APIs has been both exhilarating and challenging. Perhaps most importantly, we honed our skills in distinguishing signal from noise in an AI-hyped market–turns out there’s a lot more smoke than fire when it comes to AI.