Krutrim AI is an artificial intelligence assistant developed by Ola. Krutrim.ai launched as “India’s own AI” and aims to cater Indian users by supporting multiple Indian languages, understanding cultural contexts. Today, Krutrim can comprehend 22 Indian languages and generate content in 10 languages. It uses natural language processing, machine learning, and deep learning to understand and respond to user queries. Krutrim is designed for various applications including education, content creation, and administrative tasks across industries. It’s available through a mobile app and web interface for wider accessibility.
What is Krutrim AI (Krutrim SI Designs)?
Krutrim SI Designs is an artificial intelligence (AI) firm founded and backed by Ola CEO Bhavesh Agarwal. The company focuses on creating silicon chips and building cloud infrastructure. They aim to construct the nation’s inaugural comprehensive AI computing infrastructure products and services, with the goal of supporting Ola Electric’s operations. Krutrim SI Designs has raised funds and is in talks to raise up to $100 million, making it a unicorn company in India. They have also recently launched their ai-powered chatbot, Krutrim, which is able to understand 22 Indian scheduled languages in addition to English and can generate content in 10 Indian languages like Marathi, Hindi, Bengali, Tamil, Kannada, Telugu, Odia, Gujarati, and Malayalam. Krutrim SI Designs is also involved in electric mobility and has plans to launch electric motorcycles and cars in the coming years.
What are the Unique Features of Krutrim AI?
- Multilingual support: Krutrim AI has extensive support for Indian languages, being able to understand Indian languages and generate content in 10 languages including Hindi, English, Tamil, Telugu, Malayalam, Marathi, Kannada, Bengali, Gujarati, and Odia. This level of Indian language support exceeds many other AI models.
- Cultural context understanding: Krutrim AI is specifically designed to understand Indian cultural contexts, colloquialisms, and nuances. It has been trained on a large corpus of Indian data to develop an “innate sense of Indian cultural sensibilities and relevance”.
- Intent understanding: One of Krutrim’s distinguishing features is its ability to understand the intent behind user queries, going beyond simple keyword matching to grasp the underlying meaning and context.
- Customized tokenization: Krutrim uses a custom tokenizer specifically designed for Indian languages, which likely allows for better processing of the unique linguistic features of these languages.
- Large Indian language training data: Krutrim have been trained on over 2 trillion tokens, with a significant portion being Indic language tokens. This large Indian language dataset likely enables better performance on Indian language tasks compared to models trained primarily on English data.
- Voice-enabled capabilities: Krutrim supports voice inputs and outputs in multiple Indian languages, which is as robustly supported in other general AI models.
- Domain-specific optimization: Krutrim is optimized for Indian use cases across various domains like customer service, content creation, and education.
Top 10 Alternatives of Krutrim AI in 2024
| Alternatives | Best feature |
| Sarvam AI | Indian language support |
| Rasa | Enterprise |
| LlamaIndex | Integrating with LLMs |
| dhee.ai | Domain-specific AI agents |
| Gnani | Speech recognition |
| Yellow.ai | Personalise Experience |
| Aigo.Ai | contextual understanding |
| Skit | voice AI |
| Floatbot | Multi industry application |
| Hanooman AI | Indian cultural and linguistic |
These alternatives offer various strengths and specialisations, catering to different aspects of AI technology and specific industry needs. The choice of platform would depend on the specific requirements of the user or organisation.
1. Sarvam AI
Sarvam AI focuses on developing and deploying generative AI technologies for research and development. It specializes in creating AI solutions tailored for Indian languages and contexts. The company aims to build large language models that can understand and generate content in multiple Indian languages. Sarvam AI strongly focuses on Indian language support and cultural context. As a relatively new player, it may have limited real-world deployment experience compared to more established AI platforms.
2. Rasa
Rasa provides enterprise-grade conversational AI solutions for businesses. It offers a suite of products that enable personalized and scalable customer interactions through chatbots and virtual assistants. Rasa’s open-source framework allows developers to build, improve, and deploy AI assistants. Rasa AI is highly customizable and scalable for enterprise needs.It requires technical expertise to fully utilize its capabilities, which may be challenging for non-technical users.
3. LlamaIndex
LlamaIndex is a data framework that connects custom data sources to large language models (LLMs). It allows developers to build applications that can query and analyze large datasets using natural language processing. LlamaIndex is particularly useful for creating AI-powered search and question-answering systems.LlamaIndex is excellent for integrating custom data with LLMs. But it primarily focused on data integration and may require additional tools for full-fledged AI assistant capabilities.
4. dhee.ai (by DheeYantra Research Labs)
DheeYantra Research Labs develops AI-based cognitive conversational agents supporting Indian languages for specific domains. Their agents can communicate, perceive, learn, reason, and complete tasks. The company focuses on building AI solutions that understand Indian cultural nuances.Dhee.ai is specialized in Indian language support and domain-specific AI agents.Though it may have a narrower focus compared to more general-purpose AI platforms.
5. Gnani
Gnani provides a conversational AI platform for enterprises, focusing on speech recognition and natural language processing. Their solutions cater to various industries, offering voice bots and speech analytics tools. Gnani’s technology supports multiple Indian languages.Gnani has strong speech recognition capabilities for Indian languages.Where as it is primarily focused on voice-based AI, which may limit its applicability in text-only scenarios.
6. Yellow.ai
Yellow.ai develops a dynamic automation platform (DAP) that uses generative AI to automate and personalize customer support, commerce, and employee experiences. It serves sectors such as banking, healthcare, utilities, and retail, offering multilingual support.It has comprehensive solutions for customer and employee experience automation. It may be more complex to implement for smaller businesses with limited resources.
7. Aigo.ai
Aigo.Ai specializes in cognitive AI technology for conversational AI and customer support automation. Their advanced AI chatbot understands context, remembers past interactions, learns incrementally, and provides hyper-personalized conversations across various industries.Aigo.ai has strong contextual understanding and personalization capabilities.
Its primary focus is on customer support, which may limit its applicability in other AI domains.
8. Skit
Skit develops conversational voice AI solutions, primarily for the accounts receivables industry. Their main product automates debt collection calls, streamlining and accelerating revenue recovery. Skit’s solution is designed to handle complex interactions and improve collection efficiency.Skit is specialized in voice AI for debt collection, addressing a specific industry need.The narrow focus on debt collection may limit its usefulness in other sectors or applications.
9. Floatbot
Floatbot is a SaaS-based company focusing on developing generative AI solutions. They offer AI-powered chatbots and virtual assistants for various industries, including banking, insurance, and e-commerce. Floatbot’s solutions aim to improve customer engagement and automate business processes. Floatbot’s versatile AI solutions applicable across multiple industries. As a smaller player, it may have limited resources compared to larger AI companies.
10. Hanooman AI
Hanooman AI is an Indian AI platform that aims to provide culturally relevant and linguistically diverse AI solutions. While specific details are limited, it appears to focus on developing AI technologies that cater to Indian users and businesses. Hanooman AI Emphasis on Indian cultural and linguistic relevance. But as a newer entrant, it may have limited features and real-world deployment compared to more established alternatives.
Frequently Asked Questions
How to use Krutrim AI?
- Visit the Krutrim website at chat.olakrutrim.com
- Sign up using your mobile phone number. You’ll receive an OTP for verification.
- Enter the OTP to log in.
- Select your preferred language. Krutrim supports multiple Indian languages.
- You’ll see a text box where you can type your commands or questions. Make sure to be clear and concise.
- Press ‘Send’ or hit Enter to submit your query.
- The AI chatbot will process your input and generate a response, which will appear in the chat window.
- You can continue the conversation by typing more questions or commands.
- When you’re done, you can end the conversation by closing the chat window.
How many languages does Krutrim AI support?
Krutrim AI can understand and generate content in 10 Indian languages, including Hindi, English, Tamil, Telugu, Malayalam, Marathi, Kannada, Bengali, Gujarati, and Odia. It can understand inputs in 22 Indian languages.
