RapL -Microlearning,Reinforced

4,8
21,5 ming ta sharh
100 ming+
Yuklanmalar
Yoshga oid cheklov
Hamma uchun
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Bu ilova haqida

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.
Oxirgi yangilanish
31-may, 2024

Maʼlumotlar xavfsizligi

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Tashqi hamkorlarga hech qanday axborot ulashilmagan
Dastur ishlab chiquvchilar axborot ulashilishini qanday aytishi haqida batafsil
Ushbu ilova quyidagi axborot turlarini toʻplashi mumkin
Ilova tarixi
Maʼlumotlar uzatish vaqtida shifrlanadi
Maʼlumotlarni oʻchirishni soʻrashingiz mumkin

Reytinglar va sharhlar

4,8
21,3 ming ta sharh

Nima yangiliklar

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

Ilova yuzasidan yordam