Bhavish Agarwal’s AI firm Krutrim to launch AI assistant and chatbot ‘Kruti’ on June 12 — all we all know to date

Krutrim, the synthetic intelligence arm of Bhavish Agarwal’s Ola Group, is ready to launch its personal agentic AI assistant dubbed ‘Kruti’ on June 12, the tech startup mentioned in a put up on X.

“Ask Kruti what to eat, the place to order, or the right way to prepare dinner it. Your individual meals agent will now be only a immediate away. Approaching twelfth June!” Krutrim posted on social media platform X, with a video visualising the software.

India’s first AI assistant? What we all know to date…

Billed as “India’s first AI assistant”, Krutrim mentioned the system “not solely responds to consumer prompts, but in addition takes initiative, adapts to consumer wants, and acts proactively to fulfil duties or targets”.

In contrast to normal chatbots that look ahead to express directions, agentic AI assistants can anticipate wants, make selections, and execute actions autonomously inside outlined boundaries, a report by PTI famous.

Krutrim has additionally teased the launch in an earlier put up on X, writing: “Excited to introduce Kruti, India’s first agentic AI assistant. Reimagined from the core, Kruti listens, adapts, and acts proactively, purposefully, and in your language. This can be a leap past chatbots. Extra updates on twelfth June. Keep tuned!”

Krutrim Cloud hosts Meta’s Llama 4 AI fashions in India

In April, Krutrim mentioned it has began internet hosting Meta’s Llama 4 open supply fashions on its cloud platform, claiming: “Krutrim grew to become one of many world’s first AI firms to deploy Meta’s Llama 4 fashions on home servers. Krutrim presently hosts Llama 4 Scout and Llama 4 Maverick at costs ranging ₹7 to ₹17 per million tokens.”

A token in AI usually refers to a part of a bigger knowledge set like phrases, characters, or phrases which might be utilized by platforms for processing queries.

Krutrim at present hosts China-based DeepSeek AI fashions that vary from 8 billion to 700 billion parameters, at costs starting from ₹10 to ₹60 per million tokens.