Instreamia

Instreamia

E Learning, , New York, 10001, United States, 1-10 Employees

instreamia.com

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Who is INSTREAMIA

Instreamia was founded by brothers Ryan & Scott Rapp. Ryan, living in Japan, has repeatedly been asked how he was able to learn to obtain written and verbal fluency in the rarely mastered...

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  • New York, New York, 10001, United States Headquarters: New York, New York, 10001, United States
  • 2011 Date Founded: 2011
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: E Learning

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

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Instreamia Org Chart and Mapping

Employees

Lisa Powell

Chief Marketing Officer

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Frequently Asked Questions Regarding Instreamia

Answer: Instreamia's headquarters are located at New York, 10001, United States

Answer: Instreamia's official website is https://instreamia.com

Answer: Instreamia's revenue is Under $1 Million

Answer: Instreamia's SIC: 7372

Answer: Instreamia's NAICS: 513210

Answer: Instreamia has 1-10 employees

Answer: Instreamia is in E Learning

Answer: Instreamia contact info: Phone number: Website: https://instreamia.com

Answer: Instreamia was founded by brothers Ryan & Scott Rapp. Ryan, living in Japan, has repeatedly been asked how he was able to learn to obtain written and verbal fluency in the rarely mastered Japanese language. Scott, after living abroad in Honduras had unique opportunities to observe the lingual acquisition process first hand while teaching Spanish to English speakers. The embodiment of Ryan and Scott's discussion of the commonalities in studying two drastically different languages became the technological genesis for Instreamia. The principles Ryan and Scott have identified as effective for learning almost any language were used to structure the Instreamia learning process in an intuitive and simple way. These principles were also fundamental in the design of a custom engineered database structure, utilization of cutting-edge lexical analytical algorithms, and sophisticated time-series modeling of memory depreciation.

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