Panjaya Technologies

Video Translation Technology

Media & Entertainment Technologies
Private

Company Overview

Snapshot

Founded in November 2021 by Hilik Shani and Ariel Shallom, Panjaya Technologies operates with 11–50 employees. The company has raised $15.5M across two funding rounds from three investors.

Business overview

Panjaya Technologies provides an AI-based solution for high-quality, scalable, and cost-effective video localization and translation. This technology is complemented by professional human proofing to ensure accuracy. The company operates within the Media & Entertainment Technologies sector, focusing on digital content production and serving the broader media and entertainment industry, particularly in content production.

Strategic signal

In November 2024, Panjaya Technologies was highlighted for its use of deepfake techniques in video dubbing, leveraging the expertise of a founder who previously sold a video startup to Apple. This signals the company's innovative approach to multilingual AI translation, positioning it as a key player in transforming how video content is localized globally and indicating strong potential for market disruption in the media and entertainment industry.

Company Intelligence Q&A

What is Panjaya Technologies' core offering?
Panjaya Technologies offers an AI-based solution that integrates with professional human proofing to deliver high-quality, scalable, and cost-effective video localization and translation services.
When was Panjaya Technologies founded and by whom?
Panjaya Technologies was founded in November 2021 by Hilik Shani and Ariel Shallom.
Which investors participated in Panjaya Technologies' November 2024 funding round?
In November 2024, Panjaya Technologies received funding from Ground Up Ventures and Viola Ventures.
What is Panjaya Technologies' total capital raised to date?
Panjaya Technologies has raised a total of $15.5M across two funding rounds.
What technology does Panjaya Technologies utilize for video dubbing?
Panjaya Technologies utilizes deepfake techniques to advance its video dubbing capabilities, aiming to perfect multilingual AI translation.