Pinchy Ai secures £100k to develop AI orchestration layer for travel

Building an AI-native orchestration layer for the travel industry has secured Pinchy Ai Ltd £100k in new funding. The London-based startup reached a post-money valuation of £333.3k following the round (allotted in December 2025 with documentation filed in May 2026).

Founded in May 2025, Pinchy Ai addresses the limitations of traditional travel infrastructure when integrated with autonomous AI assistants. The company identifies that legacy systems often require months for integration and involve inconsistent supplier APIs. To resolve this, the startup developed an agentic architecture designed to reason, route, and book across various suppliers.

The platform connects hotels, car rentals, flights, and activities to channels such as WhatsApp, Chrome extensions, and white-label APIs. At the center of the technology is Resaux, a Travel Demand Graph. This data engine learns from searches, clicks, and bookings to provide dynamic supplier routing and adaptive ranking. The system is designed to improve conversion rates and margins for partners by automating booking flows that otherwise require manual optimisation.

Pinchy Ai provides multi-supplier aggregation using a unified schema. Its services include AI-driven orchestration for search and fallback, as well as booking capabilities across Pinchy Merchant of Record (MOR) and provider flows. The company targets travel suppliers, B2B agencies, AI platforms, and fintech firms requiring flexible traveler experiences.

LinkedIn data indicates the company currently operates with one employee. The startup does not position itself as an Online Travel Agency (OTA) but as an intelligence layer for travel services. This funding round provides the capital to continue developing its API and white-label tooling for partners and developers. The company's consumer-facing products include a Chrome extension and a WhatsApp AI companion. These tools are built to function as an AI-native orchestration layer rather than a legacy web system.