Eternal has unveiled Dark, a privacy-focused AI platform built for users who do not want their conversations read. Founder Deepinder Goyal wants to launch it globally within 2026. Eternal is the parent of Zomato and Blinkit.
Goyal shared the plan in Eternal’s Q2 FY27 shareholder letter. Dark is aimed at power users: founders, researchers, scientists, enterprises and governments. It has already been in internal use for a few months. The launch plan sits inside a shareholder letter, so it came with few product details.
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How Eternal Dark Works
Dark runs on fine-tuned frontier open-weight models hosted on Eternal’s own infrastructure. The company did not build a model from scratch. It adapted existing open-weight models that developers are allowed to modify. That route is cheaper than pretraining a model. The platform uses end-to-end encryption. It also gives users an encrypted memory layer, so context carries across sessions without the company holding the keys. The memory layer is the feature that separates Dark from most chat assistants.
Why The Privacy Pitch Matters
Goyal said the privacy features made him share more and ask questions he would avoid on other assistants. He said users hold back sensitive information when they fear a conversation could be stored or reviewed. Switching off model training is not enough, he argued. Questions remain about data retention, legal holds, human reviews and third-party logging. His line in the letter was blunt: we cannot read your conversations, even if we are forced to.
A New Line For Eternal
Eternal is best known for food delivery and quick commerce. Dark takes it into AI infrastructure, where buyers are enterprises and governments rather than consumers. That is a different sales cycle and a different cost base. Running fine-tuned models on its own hardware also means Eternal carries the compute bill. The company has the balance sheet to fund some of that, but not at the scale of a pure AI lab.
What Is Next For Eternal Dark
Eternal has not disclosed pricing, the model partners or the countries it will enter first. It also did not say how many users sit on the internal version. A global launch inside 2026 is the stated goal, though no date has been given. Whether enterprises trust a delivery company with sensitive AI workloads is the open question.