MotionGravity Announces Human Authenticity Registry (HAR)

On September 19, 2026, MotionGravity, an India‑based technology and data‑services organisation headquartered in Mumbai, disclosed that it is developing the Human Authenticity Registry (HAR). HAR is described as a human‑verification and contributor framework that enables ordinary individuals to voluntarily participate in AI projects, provide clear consent through selective disclosure, and receive payment for eligible contributions. The registry is intended to create a trusted layer between people and AI initiatives, ensuring that data supplied to AI systems originates from verified human participants.

Core Features and Objectives

HAR aims to verify that a real human has participated in a contribution or given consent while allowing contributors to disclose only the personal information necessary for a specific purpose. Once verified, a participant may become eligible for future projects based on attributes such as language, location, skills, knowledge, devices, documents, or other requirements, thereby reducing the need for repeated identity checks. The system is positioned as a continuity mechanism rather than a one‑time anonymous data source, giving contributors a recognized role in AI development and allowing projects to gain confidence in the authenticity of the data they receive.

Project Atlas – Document‑Based Contributions

MotionGravity is building Project Atlas on top of the HAR verification layer. Atlas enables verified contributors to check whether documents they already possess are eligible for a paid contribution without the need to upload the documents. If a project requires authentic real‑world documents from consenting individuals, HAR verification can provide additional assurance about the human source of the data. This creates a pathway for individuals to discover and monetize existing documents that meet project criteria.

Project Lumen – Knowledge and Video Contributions

Project Lumen applies the same verification principle to human knowledge and video content. Verified contributors may participate by explaining, teaching, or demonstrating subjects and skills they genuinely possess. Acceptable contributions include practical activities, software workflows, professional subjects, trades, hobbies, equipment demonstrations, interviews, or presentations. The initiative explicitly excludes influencers or professional presenters, focusing instead on ordinary people who can provide authentic human knowledge to improve AI systems.

Longer‑Term Vision and Expansion

Beyond immediate data‑collection projects, MotionGravity envisions HAR supporting broader digital‑authenticity applications, including anti‑deepfake, authenticity, and consent‑verification technologies as synthetic images, voices, and videos become more sophisticated. The company plans to extend HAR across additional multimodal data categories such as image, speech, audio, language, video, and documents, thereby broadening the scope of verified human participation in the AI economy.

About MotionGravity

MotionGravity specialises in precision data collection and AI dataset production, offering capabilities in audio and speech data, transcription, annotation, OCR, image and video collection, dubbing, captioning, language services, and multimodal data programmes. Through HAR and its contributor projects Atlas and Lumen, the firm seeks to connect verified human participants with legitimate AI‑data requirements.