RapL 4+

Linkstreet

    • 免費

簡介

RapL is a robust next-gen microlearning platform trusted by companies worldwide for training and upskilling their teams. RapL has won various industry accolades - NetApp Market Potential Award, TiE50 Award and Spring 2023 Market Leader award on G2. RapL’s AI-based spaced reinforcement drives knowledge retention and boosts employee productivity. As an end-to-end solution, RapL caters to diverse teams, including sales, R&D, technology, manufacturing, logistics, customer service, corporate, finance, and front-line workers. RapL's versatility positions it as the ideal choice for fostering company-wide growth and ensuring sustained success.
Unique features of RapL
Personalized Learning: Tailored content for your business and teams
Adaptive & Bite-sized: Learn at your own pace, with easy to learn modules daily
Gamified Experience: Leaderboards and badges do drive employee motivation, engagement and healthy competition
Global Scalability: Multilingual and easy to deploy at any scale with high security
Content Services: Ready-to-use scenarios and customized content creation
Real-time Analytics: Optimize training strategy by advanced analytics engine and reports
Industries we work with
Automotive, Retail, E-commerce, Finance, Healthcare, Hospitality, Tech, Logistics, Manufacturing and many more…
Languages Supported
English, Spanish, Hindi, Mandarin Chinese, Arabic, Bengali, Czech, German, Gujarati, Bahasa Indonesia, Kannada, Bahasa Malaysia, Oriya, Malayalam, Marathi, Portuguese, Punjabi, Sinhalese, Tamil, Telugu, Thai, Urdu, Vietnamese

Empower your teams, boost employee knowledge retention, increase workforce productivity, and revolutionize your training approach with RapL. Join the league of satisfied users who have witnessed extraordinary outcomes with RapL’s microlearning solutions. Start today and turn your workforce into a dynamic hub of expertise and proficiency.

新內容

版本 8.34.1

We are listening to your feedback and working hard to improve RapL.
Here's what's new:
+ Stability and performance improvements.

App 隱私權

開發者「Linkstreet」指出 App 的隱私權實務可能包含下方描述的資料處理。如需更多資訊,請參閱開發者的隱私權政策

會與你連結的資料

系統可能會收集以下資料,並將其與你的身分連結:

  • 識別碼
  • 診斷

隱私權實務可能因你使用的功能或你的年齡等因素而有所不同。進一步瞭解

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