Morpho, Inc.

Tokyo Stock Exchange 3653.T

Morpho, Inc. Net Cash Used For Investing Activities for the year ending October 31, 2023: USD -609.56 K

Morpho, Inc. Net Cash Used For Investing Activities is USD -609.56 K for the year ending October 31, 2023, a -156.21% change year over year. Net cash used for investing activities is total cash inflows and outflows related to activities intended to generate future income and cash flows from investments.
  • Morpho, Inc. Net Cash Used For Investing Activities for the year ending October 31, 2022 was USD 1.08 M, a 170.33% change year over year.
  • Morpho, Inc. Net Cash Used For Investing Activities for the year ending October 31, 2021 was USD -1.54 M, a 41.32% change year over year.
  • Morpho, Inc. Net Cash Used For Investing Activities for the year ending October 31, 2020 was USD -2.63 M, a -172.87% change year over year.
  • Morpho, Inc. Net Cash Used For Investing Activities for the year ending October 31, 2019 was USD -963.04 K.
Key data
Date Net Cash Used For Investing Activities Net Cash Used Provided By Financing Activities Dividends Paid Capital Expenditure
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SV Wall Street
Tokyo Stock Exchange: 3653.T

Morpho, Inc.

CEO Dr. Masaki Hiraga
IPO Date July 21, 2011
Location Japan
Headquarters KANDA SQUARE
Employees 151
Sector Technology
Industries
Description

Morpho, Inc. engages in the research, development, and licensing of artificial intelligence (AI) and image processing technologies in Japan, the United States, China, South Korea, Europe, and internationally. It offers image processing products, such as image stabilization and noise reduction; video stabilization; video generation; video processing software package; noise reduction in video; HDR image generation; DR-corrected image generation; panorama image generation for selfie photography; motion vector detection; photo effect filters library; image super resolution; frame interpolation; cinemagraph; and smooth camera switching for zooming. The company also provides AI products, that includes fast AI inference engine, image enhancement by AI Based segmentation and pixel filtering, pose estimation, bokeh image generation using dual cameras, image classification, object detection, single camera background blur, image segmentation, object tracking, automatic mask generation, automatic wipe generation, and training data for AI development. Its solutions are used in smart devices, automotives, semiconductors, medical products, digital media, and smart city. The company was incorporated in 2004 and is headquartered in Tokyo, Japan.

StockViz Staff

February 1, 2025

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