
Hyro
Powered by cutting-edge natural language capabilities - a plug and play solution that seamlessly turns complex data into simple dialogue.
Date | Investors | Amount | Round |
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- | investor investor investor investor investor investor investor investor | €0.0 | round |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
* | $15.0m Valuation: $100m | Series B | |
Total Funding | 000k |
USD | 2019 | 2021 | 2023 |
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Revenues | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Founded in 2018 by Israel Krush and Rom Cohen, Hyro operates within the healthcare technology sector, offering an artificial intelligence-powered communications platform. Krush, serving as the CEO, previously co-founded an e-commerce startup and gained experience in natural language processing (NLP) during his military service in the Israeli Defense Forces' 8200 unit. Cohen, the CTO, also served in the 8200 unit, where he specialized in AI and software development, later leading a research and development team at another technology company. Their combined expertise in AI and NLP forms the foundation of Hyro's technological capabilities.
The company's primary offering is a plug-and-play conversational AI platform designed to streamline interactions for healthcare organizations. Hyro's platform, known as a "Healthcare Language Model" (HLM), analyzes all of a health system's online data—such as web pages, physician profiles, and CSV files—to create a knowledge graph that powers its AI assistants. This system enables the deployment of voice and text-based virtual assistants across various digital channels, including websites (Hyro's Web Assistant), call centers (Call Center AI), and mobile applications. The core function is to automate responses to patient inquiries, covering tasks like physician search, appointment scheduling, and answering frequently asked questions. This approach aims to offload repetitive tasks from human agents, allowing them to focus on more complex patient needs, and to provide patients with 24/7 access to information. The business model appears to be B2B, targeting large health systems and medical centers as its primary clients. By automating a high volume of routine patient queries, Hyro's platform is positioned to help healthcare providers improve operational efficiency and enhance patient access to care.
Keywords: conversational AI, healthcare communications, patient engagement, natural language processing, virtual assistants, call center automation, appointment scheduling, healthcare AI, physician search, AI assistants