Co-Founder and CEO at Hoshii 🦄
Profile summary: Swisscom • ICT Trainee · Master of Arts at University of St.Gallen

Hoshii provides an AI-powered inbox that captures emails from Outlook and converts them into structured data for ERP systems. It automates repetitive back‑office tasks such as order processing and complaint management, reducing copy‑paste errors and freeing employee time. The platform includes customizable workflows, an AI co‑pilot for contextual insights, and a collaborative smart inbox with native Outlook integration.
Raised to date
$11.8KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round

$11.8K · Undisclosed
Announced Oct 2024
Disclosed cumulative: $11.8K
Co-Founder and CEO at Hoshii 🦄
Profile summary: Swisscom • ICT Trainee · Master of Arts at University of St.Gallen
Co-founder & CAIO
Profile summary: Hoshī • Co-Founder, Lead AI · Master of Science - MS at ETH Zürich
Co-founder & CTO
Profile summary: LAIKE • Co-Founder · Master of Science in Engineering - MSE at DTU - Technical University of Denmark
Wholesale businesses often struggle with manual data entry and repetitive tasks related to order processing, customer inquiries, and ERP system updates, leading to inefficiencies and errors. Scaling operations and retaining business knowledge becomes challenging when employees spend significant time on these routine activities.
Hoshii provides an AI Workspace Platform (AWP) featuring AI agents like Adam, designed to automate wholesale operations and reduce manual workloads. Adam connects directly to communication channels (email, WhatsApp, webshop) and ERP systems to process orders, RFQs, and customer messages automatically. This enables employees to focus on higher-value activities, reduces manual errors, and facilitates smarter decision-making through AI-enabled ERP interactions.
The primary target audience is wholesale businesses in sectors such as food & beverage, medical, manufacturing, and construction, particularly those seeking to automate operations, improve efficiency, and reduce manual errors.