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Melento, an AI-powered collaborative intelligence platform, has introduced StockHolding DigiDoc in India, enabling real-time digital stamping for enterprises. Integrated within Melento.ai, DigiDoc offers a paperless stamping process compliant with state-specific regulations across multiple states and union territories. It supports both fully digital and hybrid physical modes, streamlining stamp paper procurement and document execution through API-driven workflows, reducing reliance on manual and physical processes.
We measured how 2 outlets covered this story. Coverage leans balanced overall (Left 0%, Centre 100%, Right 0%). Overall sentiment is positive (75/100). Lens Score 32/100 — low public interest.
Outlets analysed (first-hand measurement by TBN's Bias Engine):
The articles present a straightforward business and technology development without political framing. Coverage focuses on the product launch and its operational benefits, reflecting a neutral corporate perspective. There is no evident political viewpoint or partisan framing in the sources, which emphasize innovation and regulatory compliance.
The tone across the articles is positive, highlighting the advancement in digital stamping technology and its benefits for enterprises. The coverage emphasizes efficiency, compliance, and modernization, without critical or negative commentary, reflecting an optimistic sentiment toward the product introduction.
Each source's own headline, political lean, and sentiment — so you can see framing differences at a glance.
| Source | Their headline | Bias | Sentiment |
|---|---|---|---|
| businessstandard | Melento Becomes a Leading Company to Introduce StockHolding DigiDoc in the Indian Market, Enabling Real-Time Digital Stamping for Enterprises | Center | Positive |
| thetribune | Melento Becomes a Leading Company to Introduce StockHolding DigiDoc in the Indian Market, Enabling Real-Time Digital Stamping for Enterprises - The Tribune | Center | Positive |
thetribune broke this story on 3 Jun, 09:33 am. Other outlets followed.
Well-covered story — coverage matches public importance.
Institutions and figures named across source coverage.
