ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社 (Corporate ID: 9120001206633) is a corporation operating in the 製造業 sector headquartered in 大阪府大阪市北区豊崎４丁目６番３－３０３号. Latest operational metrics report workforce: 15 employees. Fully registered under Japan's National Tax Agency Qualified Invoice System (Invoice No: T9120001206633). Official contact (06-6357-7778), corporate governance, and multi-year financial statements are openly accessible on Kigyou-list.
Official change history records regarding corporate name, registered address, and legal entity designations synced with Japan National Tax Agency (国税庁).
Registered address: 大阪府大阪市北区豊崎４丁目６番３－３０３号
13-digit Corporate Number "9120001206633" was officially assigned by the National Tax Agency Commissioner with corporate name "ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社".
Cross-check reviews, press releases, and compliance background across top Japanese portals.
The official representative phone number for ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社 is 06-6357-7778. Head office is located at 大阪府大阪市北区豊崎４丁目６番３－３０３号. Verified contact channels and executive directories are accessible on Kigyou-list.
ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社's official 13-digit National Tax Agency Corporate Number is 9120001206633. It is officially registered as a Qualified Invoice Issuer under Japan's consumption tax invoice system with registration ID T9120001206633.
ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社 is officially registered and headquartered at Postal Code 5310072, 大阪府大阪市北区豊崎４丁目６番３－３０３号. Complete regional jurisdiction and legal relocation history are verified via Japan's National Tax Agency.
Outreach to ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社 or acquire targeted lookalike company datasets.
ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社に関連する公的異動登記および大阪府の各カテゴリ別データベースへの直通インデックスです。 最新の法人登記データや採用活動の動向を各ハブにて毎日自動更新しています。
※ Corporate information on this profile is aggregated, verified, and structured based on official open data provided by the National Tax Agency (国税庁) and METI gBizINFO.
ＰＬＥＮ Ｒｏｂｏｔｉｃｓ株式会社 currently employs 15 personnel. Most recently reported annual revenue stands at undisclosed.
On Kigyou-list, users can review verified financial metrics, legal registry history, corporate signals (hiring, subsidies, trademarks), and export standardized CSV datasets for B2B intelligence.