India’s First Agentic AI System

Blog Credit : Trupti Thakur

Image Courtesy : Google

India’s First Agentic AI System

Krutrim, a leading AI unicorn, launched Kruti, the country’s first agentic AI assistant capable of executing tasks such as cab booking, food ordering, bill payments, image creation, and in-depth research. The tool supports both text and voice input and includes a read-aloud feature.

 

Kruti marks a shift from passive chatbot responses to task-oriented assistance, providing features such as memory, personalisation, and multilingual capabilities, including support for 13 Indian languages. It is powered by Krutrim’s V2 LLM and enhanced with open-source models for scalable and cost-efficient deployment.

“Kruti is the first real step towards the future of AI where technology doesn’t just talk back, but actually helps you get things done,” said Bhavish Aggarwal, founder of Krutrim. “We have built Kruti to work the way Indians live: multilingual, mobile-first, and intuitive.”

Unlike conventional AI tools, Kruti handles tasks end-to-end with minimal user intervention. Users can give commands like “book me a cab to the airport” or “order my usual lunch,” and Kruti processes the intent to complete the action. It uses Ola’s platform in the backend to deliver the services.

Kruti also offers advanced AI features, including research mode and image generation, free of cost. “With Kruti, we take a step ahead in building trust, utility, and a truly Indian AI experience for all,” Aggarwal said.

The mobility company said personalisation is a core aspect of Kruti’s design. The assistant learns user preferences over time and integrates with apps and services for context-aware assistance. Developers can also embed Kruti into their own platforms using its SDK, which simplifies LLM orchestration and tool management.

Kruti is powered by agentic intelligence, meaning it uses a network of agents that work together to break down a user’s request into smaller subtasks and execute them, sometimes in sequence, sometimes in parallel. The platform uses an agent-to-agent protocol to allow these agents to coordinate and execute plans intelligently.

Moreover, MCP (Model Context protocol) allows it to communicate directly with databases or APIs, allowing businesses to integrate their data into Kruti’s AI experiences seamlessly.

By eliminating the need to switch between apps, presenting responses through summaries, tables, or story formats, and reflecting Indian usage patterns, Kruti aims to reshape how users interact with AI in everyday life.

About Agentic AI

It is a more advanced GenAI tool.

These intelligent systems go beyond analysis, acting autonomously on behalf of individuals and organisations to manage complex tasks, make decisions, and solve problems.

It uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems.

This systems ingest vast amounts of data from multiple data sources and third-party applications to independently analyze challenges, develop strategies and execute tasks.

Agentic AI’s Features Include

Proactive: It uses dynamic reasoning to interpret user queries, identify goals, and solve problems as they arise.

Action-driven: It prioritizes taking actions and is integrated with your backend systems and tools to autonomously carry them out.

Retentive memory: It has both short and long-term memory to help contextualize and personalize interactions with customers.

Key Features about the Kruti Agentic AI

It can book cabs, pay bills, generate images and support 13 Indian languages using a localised LLM.

The platform also includes features such as read-aloud responses and free access to premium AI capabilities like research and image creation.

Kruti understands both voice and text input, remembers past interactions and tailors responses in tone, length and language, including 13 Indian languages.

It learns user preferences, adapts to usage over time and integrates with various apps and services to deliver context-aware assistance with minimal effort.

Kruti also includes a fully embeddable software development kit (SDK), allowing developers to integrate large language model orchestration, memory handling and tool execution with minimal code.

 

Blog By : Trupti Thakur