Krutrim AI Website Login URL

Krutrim AI Website Login URL is

You can register on Krutrim AI website URL using your phone number.

Krutrim AI Website Login URL

Krutrim AI Website Login page – taken from OLA Krutrim AI

Krutrim AI Website Login Method

You can register on Krutrim AI website URL using your phone number.  You will be put on wait list. Once you are approved on the waiting list you can access the amazing Krutrim AI Website.

Krutrim AI website is developed by Ola. It is an answer to Chat GPT  by Open Ai , Bard Ai & Gemini by Google. Krutrim AI Website is has been trained on Indian languages. Its LLM or Large Language Model is trained specially on Indian languages. Its reponse time is fast for Indian languages when compared to Chat GPT , Bard and Gemini. This article will tell you about Krutrim AI website URL, the model that Ola Krutrim AI has been built on and the languages that it supports.

Languages it supports are

  1. Hindi,
  2. Marathi
  3. Kannada ,
  4. Tamil and many more local languages. It supports around 10 Indian languages.

One thing important to note about Ola Krutrim AI Website is that it currently supports only text as a part of its large language model. Speech and vision are going to be launched in future. Other AI Chat bots like Gemini already supports speech and vision. Some AI chat bots have paid plan as well to access some of the exclusive features.

What is an LLM (Large Language Model used in Ola Krutrim AI Website)?

A large language model refers to a type of artificial intelligence system designed to understand and generate human-like text at a scale that involves processing vast amounts of data. These models are trained on diverse and extensive datasets to learn patterns, context, and language structures. The term “large” implies that the model has a substantial number of parameters, which are the internal variables that the model adjusts during training to understand and generate text.

One example of a large language model is OpenAI’s GPT-3 (Generative Pre-trained Transformer 3), which has 175 billion parameters. Such models demonstrate impressive natural language processing capabilities, allowing them to perform tasks like text completion, language translation, summarization, question answering, and more. They are often pre-trained on a diverse range of internet text before being fine-tuned for specific applications.

Large language models have been instrumental in advancing natural language understanding and generation, enabling applications in chatbots, virtual assistants, content generation, and other language-related tasks. However, they also raise ethical considerations, including concerns about bias, misuse, and the environmental impact of training such massive models.


Why LLMs are used to create Chatgpt and Krutrim AI like chat bots?

Large language models are required to create systems like ChatGPT because they need to grasp the complexities of human language and generate coherent and contextually relevant responses. Here are some reasons why large language models are often preferred for creating chatbot-like systems:

  1. Capturing Contextual Information: Large language models have the capacity to capture and understand nuanced contextual information within sentences and across longer passages. This allows them to generate more contextually appropriate responses in a conversation.
  2. Handling Diverse Topics: A vast amount of parameters in a large model enables it to learn from diverse and extensive datasets, allowing the system to handle a wide range of topics and respond to various user inputs.
  3. Learning Complex Patterns: Human language is intricate, and it involves understanding grammar, semantics, pragmatics, and cultural nuances. Large language models can learn complex patterns and relationships in language, allowing them to generate more sophisticated and human-like responses.
  4. Reducing Bias: With a diverse training dataset, large models have the potential to learn from a wide range of perspectives, helping to reduce bias in responses. However, it’s crucial to note that biases can still exist, and mitigating them is an ongoing challenge in the development of such models.
  5. Generalization: Large language models can generalize their learning to adapt to various tasks and inputs, making them versatile for applications beyond just chat-based interactions.

While large language models offer these advantages, it’s essential to consider ethical considerations, such as bias, transparency, and responsible deployment, as these models can inadvertently perpetuate biases present in the training data and may generate outputs that need careful monitoring and control. Additionally, the training of large language models requires significant computational resources.


Terms of Use of OLA Krutrim AI Website

As mentioned on there website on the page Terms of Use –  Krutrim AI, as of the last update on December 15, 2023, outline the conditions governing the use of Krutrim AI’s website . Krutrim SI Designs Private Limited is identified as the data fiduciary responsible for privacy policies. The company engages in researching, designing, and developing AI applications and solutions using cloud infrastructure. Users are granted a non-exclusive right to access and use the services, with a focus on innovative AI-based platforms.

The terms cover user eligibility, acceptable use policies, and third-party services. Specific guidelines are provided for AI-based models, including disclaimers for legal, financial, and medical advice. The document emphasizes the importance of assessing the accuracy and suitability of AI-generated outputs, as well as the security and confidentiality of user data.

Other sections detail intellectual property rights, confidentiality, security measures, and disclaimers of warranties and limitations of liability. The terms also address dispute resolution, general terms, changes to terms or services, and the continuous development of AI services. Users are encouraged to keep themselves updated with any amendments to the terms.


Privacy Policy of using OLA Krutrim AI Website

As mentioned on Krutrim AI Website Privacy Policy Page

Scope and Purpose: The privacy policy applies to the processing of users’ personal data at Krutrim SI Designs Private Limited. It aims to inform users about the type of personal information collected, the purpose of collection and processing, how information is processed, sharing/transfer of personal data, and the distribution of responsibilities.


  • Anonymous data: Data not identifiable to a natural person.
  • Automated decision making: Decisions made by automated means without human involvement.
  • Consent: Freely given, informed, and unambiguous statement.
  • Cookies: Small pieces of data stored by web browsers.
  • Data Fiduciary: Entity determining the purposes and means of data processing.
  • Data Processor: Entity processing personal data on behalf of the data fiduciary.
  • Data Principal: Natural person interacting with Krutrim.

Details of the Data Fiduciary: Krutrim SI Designs Private Limited and its affiliates are the data fiduciary. They are engaged in researching, designing, and developing AI applications.

Data Protection Officer: Queries about the privacy policy can be directed to the Data Protection Officer at

Type of Personal Information and Manner of Collection: Information collected during user sign-up includes name, phone number, and primary location. The data is stored securely on cloud servers. Additional information is collected through user interactions and automatic data collection tools.

Purpose of Collection and Processing:

  • Providing services
  • Communicating about services
  • Improving, monitoring, personalizing, and protecting services
  • Research and development
  • Compliance and protection

How Information Is Processed: The information is processed for various purposes, including service administration, communication, security, and research. Automated tools, cookies, local storage technologies, and web beacons are used for data collection.

Sharing/Transfer of Personal Data: Personal data is not sold. It may be disclosed to service providers, affiliates, authorities, and for international transfers with appropriate safeguards.

Marketing Based on Online Web Behavior Data: Online web behavior data is collected for marketing purposes, with consent. This data may be combined for targeted marketing through various channels.

Retention: Personal data is retained only as long as necessary for the outlined purposes or as required by law.

Rights of Data Principals: Data principals have rights, including access to personal information, verification and rectification, withdrawal of consent, objection to processing, erasure, data portability, and the right to be forgotten.

Lodging of Complaint: Users can contact the Data Protection Officer for privacy-related issues. If unsatisfied, they have the right to lodge a complaint with the supervisory authority.

This summary provides an overview of Krutrim’s privacy policy, covering key aspects related to data collection, processing, rights of users, and complaint resolution.