9 January 2017

International Airlines Group (IAG) has selected four finalists to join Hangar 51

International Airlines Group (IAG) has selected four finalists to join Hangar 51, its first ever accelerator programme, run in association with innovation specialist L Marks.

International Airlines Group (IAG) has selected four finalists to join Hangar 51, its first ever accelerator programme, run in association with innovation specialist L Marks.

From more than 450 applications worldwide, IAG chose 26 startups to present their businesses before a judging panel at a pitch day in December before selecting the finalists.
Meet the teams:

Team: Esplorio
Category: Data Driven Decisions
Esplorio was born out of a frustration towards the lack of easy-to-use travel tracking tools. The Esplorio app is a simple way to record and share travels, ensuring that travellers never forget their amazing experiences and adventures. With experience in computer science, marketing and engineering, each team member brings something different to the board.

Team: Resolver
Category: Digitising Business Processes
Resolver is an independent online resolution service helping consumers to raise issues and helping businesses to be more effective at resolving them. Resolver already powers all parking ticket appeals in England & Wales and the team comprises of industry experts with extensive knowledge in building digital products and engaging customer.

Team: Vchain Tech
Category: Wildcard
Currently, decisions driven by sensitive data depend on either unreliable or fragmented data sources. Vchain Tech uses blockchain technology to build patent-pending Digital Identity SaaS to help airlines share data safely and securely when passengers take connecting flights. Vchain benefits from a team of serial entrepreneurs, whom have over 15 years' experience scaling startup businesses.

Team: Warwick Analytics
Category: Data Driven Decisions
Warwick Analytics produce automated predictive analytics software. Developed over a decade of academic research, the technology is designed to predict and prevent issues in manufacturing from even heterogeneous data. The team are all experienced serial entrepreneurs specialising in data science.