Eternal Unveils Dark.ai: End-to-End Encrypted AI Chatbot Launching Globally in 2026

Eternal Announces Privacy-Focused AI Platform Dark.ai

Deepinder Goyal, founder of Eternal and creator of Zomato and Blinkit, has unveiled Dark.ai, a privacy-focused AI chatbot designed to address growing concerns about data security in artificial intelligence interactions1

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. The announcement came during Eternal's Q2 FY27 shareholder letter, where the company reported a 92.3% year-over-year jump in net profit to Rs 125 crore and revenue growth of 77.6% to Rs 24,138 crore2

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. Dark.ai represents Eternal's strategic expansion beyond food delivery into AI infrastructure, positioning the company to compete in the privacy-conscious AI market.

End-to-End Encrypted Conversations That Even Eternal Cannot Access

Dark.ai distinguishes itself through end-to-end encrypted conversations that prevent anyone, including Eternal itself, from reading user interactions. "We cannot read your conversations, even if we are forced to," Goyal stated in the shareholder letter1

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. This approach addresses fundamental concerns about how AI companies handle user data, including data retention, legal holds, abuse reviews, human audits, and third-party access1

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. The platform incorporates an encrypted memory layer that allows context to persist across sessions while remaining entirely under user control1

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. Goyal emphasized that simply disabling model training on user data fails to address broader privacy concerns that discourage people from sharing sensitive information with AI chatbot platforms1

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Built on Open-Weight Models for Users Handling Sensitive Information

Dark.ai runs on fine-tuned open-weight models hosted on Eternal's own infrastructure rather than third-party cloud services1

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. This architecture choice gives Eternal complete control over the computing environment while leveraging existing trained parameters that developers can modify3

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. The platform targets power users including founders, researchers, scientists, enterprises, and government organizations who regularly work with confidential information2

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. Goyal noted that the models are specifically trained to prioritize truthful answers rather than simply pleasing users, with benchmarks to be revealed at a later date1

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Global Launch in 2026 After Internal Testing Period

Eternal plans a global launch in 2026, with Goyal stating the platform should be available "hopefully within 2026"2

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. The company has been using Dark.ai internally for several months, allowing the team to refine the platform before public release1

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. Goyal shared that this internal testing period changed his own behavior, encouraging him to ask questions and explore research topics he would otherwise hesitate to discuss with mainstream AI assistants1

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. "I now find myself revealing more and asking things I would not ask anywhere else, because I no longer have to look over my shoulder," he explained2

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. Eternal has not yet announced pricing details or a specific launch date2

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Why Privacy-First AI Matters for Competitive Advantage

The launch of Dark.ai addresses a critical gap in the AI market where uncertainty about data handling limits how people use AI tools. Goyal argued that concerns about conversations being retained or accessed by others actively discourage users from sharing sensitive information related to health, finances, relationships, and proprietary research1

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. "The uncertainty and the lack of trust we have with large AI companies limits the power of AI in our lives," he stated1

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. For enterprises and researchers, this privacy infrastructure becomes essential for maintaining competitive advantage, as sharing proprietary information with standard AI platforms could risk intellectual property exposure. The platform's encrypted memory management allows users to build sophisticated, context-aware AI interactions without sacrificing control over their data2

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. As AI adoption accelerates across industries, Dark.ai positions Eternal to capture market share among organizations and individuals who require guaranteed privacy for their AI interactions.