Stockpress

Stockpress

File management for teams who want to spend less time looking for their files and more time using them.

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Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-40 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Stockpress
Made with AI
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Stockpress is a file management platform designed to help teams spend less time searching for files and more time using them. The platform offers an intuitive interface that makes finding, sharing, and using files easier. It allows users to create unlimited custom categories and tags for enhanced search and filter capabilities, ensuring that files are always easy to locate. Stockpress also supports unlimited users, enabling teams to collaborate more effectively by keeping their files and team members close. The platform addresses common file management issues such as large file sharing, corrupted thumb drives, and version control loss, which can lead to significant disruptions in business operations. By providing robust tagging and metadata features, Stockpress ensures that files are easily searchable through visual search and dynamic file filters. Additionally, the platform offers AI tagging and flexible metadata options to further enhance file organization. Users can assign unlimited custom roles and teams with variable permissions based on the specific needs of their business, making it a versatile solution for organizations of all sizes. Stockpress primarily serves businesses that require efficient file management solutions, operating in a market that includes competitors like DropBox, Google Drive, and WeTransfer. The company's business model revolves around subscription-based pricing, generating revenue through various pricing tiers that cater to different organizational needs.

Keywords: file management, intuitive platform, enhanced search, unlimited users, custom categories, AI tagging, metadata, visual search, dynamic filters, team collaboration.

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