Talysis Education

Talysis Education

An analytics service oriented toward educators and schools to improve classroom teaching.

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DateInvestorsAmountRound
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$1.4k

Grant
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about Talysis Education
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Talysis Education, established in the United Arab Emirates in 2021, operates within the EdTech sector, providing analytics services tailored for educators and educational institutions. The company's primary objective is to enhance classroom teaching effectiveness through data-driven insights.

The core of Talysis Education's offering is its proprietary Emotion-Affective Domain Mapping System (EADMS). This system employs facial recognition technology to gauge student comprehension levels during lessons. By analyzing this data, the company aims to evaluate the effectiveness of educational content across various subjects, teachers, and class schedules. The platform is designed to help educators understand and improve their teaching methods.

Talysis Education's business model centers on providing a comprehensive analytics service. The platform integrates with schools' existing databases, allowing educators to correlate student understanding data, captured through EADMS, with academic performance metrics such as test results. It also considers factors like lesson plans, content delivery methods, and classroom layouts to provide a holistic view of the learning environment. In August 2022, the company secured $1,400 in a grant funding round from Sheraa, which is intended to support the advancement of its analytics capabilities and service expansion.

Keywords: EdTech, education analytics, facial recognition, student engagement, classroom teaching, teacher tools, EADMS, education technology, student comprehension, data-driven education, UAE startup, Sheraa accelerator, learning analytics, teaching effectiveness, educational content evaluation, student performance metrics, classroom insights, emotion recognition, affective computing, educational data mining

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