Launch of Kruti by Krutrim
Krutrim, an artificial intelligence startup, has introduced Kruti, an AI assistant described as an "agentic AI". This innovation is designed to actively perform tasks such as cab bookings, food orders, bill payments, image generation, and research, moving beyond passive text replies typical of traditional chatbots.
Features of Kruti
- Proactive task management: Kruti can execute commands like booking cabs or ordering food without requiring constant user input.
- Multilingual support: It is equipped to operate in 13 Indian languages, emphasizing a mobile-first and intuitive user experience.
- Advanced personalization: Kruti tailors responses based on user preferences, past interactions, and contextual usage.
- Integration capabilities: It integrates with various apps and services to provide context-aware assistance effortlessly.
- Free premium capabilities: Offers features like research tools and image generation at no cost.
- SDK availability: Developers can use its software development kit for integrating Kruti’s functionalities with minimal coding.
Strategic Importance
Kruti aims to be a more accessible AI solution for Indian users by combining broad functionality with local context, thereby enhancing trust and utility in AI interactions. It also competes with both global AI giants and local players, showcasing India's burgeoning AI ecosystem.
BharatGPT Mini by CoRover
On the same day as Kruti's launch, CoRover introduced BharatGPT Mini, a small language model (SLM) developed for low-compute and infrastructure-constrained settings, supporting text-based tasks in 14 Indian languages.
Features of BharatGPT Mini
- Optimized for low-end devices: Designed for seamless AI performance without high-end cloud infrastructure reliance.
- Focus on privacy and speed: Addresses India’s demand for cost-effective and privacy-centric AI tools.
- Domain specificity: While large language models (LLMs) are used for complex tasks, SLMs provide fast and efficient solutions for specific domains.
Overall, these developments highlight the growing demand for localized AI solutions that are accessible, efficient, and tailored to the Indian context.
