Ola Krutrim has launched Kruti, an AI assistant that helps users book cabs, order food, pay bills, create images, and do research via voice or text.

Kruti is an upgraded chatbot that adapts to user preferences and supports 13 Indian languages with free advanced features like image generation.

Powered by Krutrim’s V2 large language model and open-source tools, Kruti integrates with third-party apps for personalized, context-aware help.

Ola Krutrim also released a software kit for developers to add Kruti’s tools to their apps with minimal coding.

The company aims to build India’s first AI chips by 2026 and has launched Krutrim Cloud, already used by over 25,000 developers since early 2024.

🔗 Source: YourStory

🧠 Food for thought

1️⃣ The evolution of AI assistants from simple responders to autonomous agents

Kruti represents a new phase in the decades-long evolution of AI assistants, moving from simple response systems to task-executing agents.

The journey began with IBM’s Shoebox in the 1960s, which could only recognize 16 words and digits, followed by text-based chatbots like ELIZA (1966) that simulated conversation without true understanding1.

The introduction of Siri in 2011 and Alexa in 2014 marked crucial transitions to mainstream voice assistants, but they still primarily answered questions rather than executing complex tasks independently2.

This shift toward agentic AI that can autonomously book cabs or order food reflects the industry’s progression from query-response models to systems that can interpret intent, maintain context, and execute multi-step processes.

2️⃣ Multilingual capabilities are becoming essential for AI adoption in India

Kruti’s support for 13 Indian languages highlights a critical factor for AI success in India’s linguistically diverse market.

Case studies show tangible business benefits from multilingual AI implementation—Max Life Insurance saw a 5x ROI increase after integrating multilingual capabilities into their customer service chatbots3.

Similarly, Mahindra Tractors developed multilingual assistants specifically to support India’s diverse rural customers, recognizing that language accessibility directly impacts adoption rates and customer satisfaction3.