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DateInvestorsAmountRound
-investor investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round

N/A

Support Program
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues0000000000000000000000000000
% growth-2534 %86 %56 %(33 %)327 %(12 %)
EBITDA0000000000000000000000000000
% EBITDA margin---(43 %)(276 %)--
Profit0000000000000000000000000000
% profit margin(156 %)(313 %)(99 %)(82 %)(427 %)(132 %)(172 %)
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

Source: Company filings or news article

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More about Worldish
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Worldish, established in Sweden in 2015, provides a language translation technology solution aimed at breaking down communication barriers, primarily within the healthcare sector. The company was co-founded by Abhishek Jacob Chethikatt, who serves as the CEO, and Naveen Sasidharan, the COO. Based in Linkoping, Sweden, Worldish operates as a venture capital-backed entity, having secured funding from investors including Pluscap, Life Science Invest, LiU Invest, and LEAD Incubator.

The core of Worldish's offering is 'Helen', an AI-powered translation tool. Designed specifically for medical environments, the Helen Assistant mobile application provides real-time, multilingual support to facilitate seamless communication between patients and healthcare professionals. The technology supports over 100 languages and is engineered to help reduce patient-care process times and improve the working conditions for healthcare staff. The tool is available via mobile apps, including Helen Assistant, Helen Cares, Helen Caregiver, and Helen Amigo, suggesting a suite of tailored applications for different user needs within healthcare and education. One of its clients includes the women's clinic at Region Östergötland in Sweden.

The business model centers on providing its proprietary SaaS solution to organizations. Access to the Helen Assistant tool is restricted to authorized users within partnered organizations, who are provided with login credentials, indicating a B2B subscription or licensing model. The company emphasizes security and privacy, stating that it does not collect data from its app users, which is a crucial consideration for its primary market in healthcare. Keywords: language translation technology, healthcare communication, medical translation, AI-powered assistant, digital health, HealthTech, SaaS, B2B, patient-provider communication, multilingual support, clinical communication tool, Sweden, Abhishek Jacob Chethikatt, Naveen Sasidharan, Helen Assistant, Region Östergötland, language barrier solution, real-time translation, secure medical communication, edtech translation

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