Portfolio

investitori techshop

TILEDESK

Team: Andrea Sponziello, Andrea Leo, Michele Pomposo
Foundation year: 2020
Tiledesk is an advanced customer service platform, based on building dialogue between a company and their customers through messaging, with multiple interfaces and service levels: chatbots, messaging apps and human operators. The ease of integration of Tiledesk’s software and the smart support provided allow enterprises to increase the satisfaction of their customers, while increasing the ROI in a future proof CS solution based on messaging. It is developed entirely in open source, a strategic choice that allows the community to develop new features autonomously and, at the same time, to enterprises with specific needs to customize the software on-prem.

investitori techshop

Hlpy

Team: Valerio Chiaronzi, Graziano Cavallo ed Enrico Noseda.
Foundation year: 2020
Founded in 2020 in Milan, since February 2021 it has been offering insurance companies, car manufacturers and car rentals a B2B2C solution that allows car drivers to activate a roadside assistance request in less than 60 seconds via their smartphone and to receive real-time information on the assistance process. hlpy started operations in Italy by sealing agreements with major players in the insurance vertical, in the rental sector and with car manufacturers; by the end of 2022 it will have managed over 40,000 assistance missions. The hlpy business clients can rely on a network of over 650 rescuers managing a fleet of over 3,000 emergency vehicles throughout Italy and all digitized through the hlpy platform. Techshop invested €600,000 in a round which was also participated by primary angel investors and some existing shareholders of hlpy.

investitori techshop

SMARTPRICING

Team: Luca Rodella, Eugenio Bancaro e Tommaso Centonze
Foundation year: 2020
Founded in 2020 in Riva del Garda (TN). Smartpricing offers a software-as-a-service (SaaS) solution that can be easily integrated with the most famous hotel software packages, the so-called Property Management Systems and Channel Managers, and allows the dynamic optimization of the accommodation rates with room-by-room granularity. Machine learning algorithms lie at the core of Smartpricing solution, which can process different data types, including market, occupancy and price trends in the specific geographical area and the hotel historical data. The goal is to ensure maximum occupancy of the structure at a revenue-optimizing price, based on the characteristics of the hotel and the reference market.