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    Transform Customer Experiences With AI-Driven Chatbots

    Intelligent Chatbot
    Development

    Build AI-enabled chatbots to automate business processes, focus on high-level tasks, and personalize experiences

    Chatbot API Integration
    & Deployment

    Set up the software environment to integrate APIs and deploy chatbots with personalized AI

    Chatbot Support
    & Maintenance

    Improve accuracy & engagement by updating protocol & responses, and monitoring user interactions with AI

    Chatbot Training

    Define use-cases & intent to provide personalized customer support when a user asks a question, using AI

    Types of
    Chatbots
    sales
    Menu/Button-Based
    Get a ready-made knowledge base and questions that are presented in the form of buttons
    Marketing
    Keyword Recognition-Based

    Build NLP-based chatbots to which users give text input and receive a keyword-based
    reply

    Customer Service
    AI Chatbot

    Enable self-learning in conversations with Natural Language Processing & Machine Learning

    Hybrid Model
    Hybrid Model

    Build empathetic interactions by answering repetitive and complex questions

    Operations
    Voice Bot

    Enable voice interactions by giving an audio-based response

    Power Business Growth With
    Intelligent Chatbots

    Enhanced-Decision-Making

    Chatbot for Sales

    Relieve sales agents from answering common questions and focus on nurturing prospects into customers

    Chatbot for Marketing

    Chatbot for Marketing

    Generate leads and conversions and build customer engagement with conversational automation

    Chatbot for Customer Service

    Chatbot for Customer Service

    Offer consistent support across channels, resolve issues faster, and automate replies

    Chatbot as an Internal Search Engine

    Chatbot as an Internal
    Search Engine

    Leverage conversational AI as an internal search engine to answer queries

    Transform Conversations with Next-Gen Chatbots

    Contextual Response Generation

    Contextual Response
    Generation

    Provide responses that fit in with the context of conversations
    Human Language Understanding

    Human Language
    Understanding

    Enable the chatbot to understand and interpret human language
    Churn-Analytics

    Conditional Response
    Programming

    Build learned response towards customer inputs in conversations
    Risk-Modeling

    Voice-Enabled
    Chatbot

    Develop digital assistants that hear, perceive, and respond to voice input

    Text-Analytics

    Multi-Language
    Chatbot

    Enable customer conversations and support in multiple languages
    Revenue-Prediction

    Conversational AI
    Chatbot

    Understand customer intent & automate and scale interactions
    Inventory-Staff

    Vocabulary
    Enhancement

    Improve chatbot vocabulary to answer complex questions
    Conversational-AI

    Word
    Segmentation

    Enable the chatbot to identify and separate individual words
    Optimized-Cross-Sell

    Emotionally Aware
    Responses

    Build conversational response that is aware of emotional context

    Build Intelligent
    Conversational AI Solutions

    How We Develop Chatbots

    Gather Requirements

    Gather Requirements

    Identifying exact project requirements from start to finish

    Customize for Requirements

    Customize for Requirements

    Building a product according to specific requirements

    Build a Plan of Action

    Build a Plan of Action

    Developing a plan based on the requirements gathered

    Implement and Integrate

    Implement & Integrate

    Configuring the chatbot to integrate with your website

    Select a Base Model

    Select a Base Model

    Choosing the right base model to finalize requirements

    Testing and Evaluation

    Testing & Evaluation

    Testing-Evaluation Testing & Evaluation Testing your chatbot to identify and resolve any bugs, usability issues, or shortcomings

    How We Develop Chatbots

    Gather Requirements
    Identifying exact project requirements from start to finish
    Gather-Requirements
    Gather-Requirements
    Build a Plan of Action
    Developing  a plan based on the requirements gathered
    Build-a-Plan
    Build-a-Plan
    Select a Base Model
    Choosing the right base model to finalize requirements
    Select-a-Base
    Select-a-Base
    How-We-Develop-Chatbots-BG
    Customize-Requirements
    Customize-Requirements
    Customize for Requirements
    Building a product according to specific requirements
    Implement-Integrate
    Implement-Integrate
    Implement & Integrate
    Configuring the chatbot to integrate with your website
    Testing-Evaluation
    Testing-Evaluation
    Testing & Evaluation
    Testing your chatbot to identify and resolve any bugs, usability issues, or shortcomings

    We deploy the chatbot according to an extensive MLOps pipeline, which gives the user custom storage, a custom API endpoint framework, and search algorithm. In addition to this, the user gets multi-cloud access and varied compute resources, with in-house GPUs available on request.

    Feature Right Image

    There are three ways to build chatbots, when using LLMs:

    Zero-Shot Classification

    Zero-Shot Classification

    We use retrieval-ranking methodology to customize the base model according to requirements and create a special document record which modifies answers based on the text the user provides.
    Few-Shot Learning

    Few-Shot Learning

    Here, we fine-tune the base model on the user’s custom data (and/or additional open source data that the user deems fit for the task), and deploy it according to requirements.
    Custom Chatbot Creation Tool

    Custom Chatbot Creation Tool

    We enable the customer to decide the development framework, select the kind of chatbot the customer requires, and build it from scratch using the tools provided by the framework.

    Base Models We Use

    Icon

    BigScience BLOOM

    EleutherAI GPT-J

    EleutherAI GPT-J

    Cerebras-GPT

    Cerebras-GPT

     BigCode Starcoder

    BigCode Starcoder

    Google PaLM

    Google PaLM

    H20.ai h2oGPT

    H20.ai h2oGPT

    Polyglot

    Polyglot

    How Grazitti Can Help You

    Customers Served
    1100+

    Customers Served

    Experienced Professionals
    1200+

    Experienced Professionals

    Leading Platforms
    50+

    Integrations with
    Leading Platforms

    Projects Completed
    800+

    Projects Completed

    FAQ

    1. What are the benefits of implementing chatbots and conversational AI in my business?
    There are many benefits to implementing chatbots and conversational AI in your business. Here are some of the most important:
    • Improved Customer Service: Chatbots can provide 24x7 customer service, which can help to improve customer satisfaction and reduce wait times. They can also be used to answer customer questions, resolve issues, and provide support.
    • Increased Sales: Chatbots can be used to upsell and cross-sell products and services, as well as to generate leads. They can also be used to collect customer feedback and data, which can be used to improve products and services.
    • Reduced Costs: Chatbots can help to reduce the cost of customer service by automating tasks that would otherwise be handled by human agents. They can also help to improve efficiency by routing customer inquiries to the right department or agent.
    • Improved Data Collection: Chatbots can collect data about customer interactions, which can be used to improve customer segmentation, targeting, and personalization. This data can also be used to improve product and service development.
    • Enhanced Brand Perception: Chatbots can help to enhance brand perception by providing a more personalized and engaging customer experience. They can also be used to promote products and services, and to build relationships with customers.
    2. How can chatbots enhance customer engagement and improve user experience?

    Chatbots can enhance customer engagement and improve user experience in a number of ways:

    • 24x7 Availability: Chatbots can provide 24x7 customer service, which can help to improve customer satisfaction and reduce wait times. This is especially important for businesses that operate in multiple time zones or that have a global customer base.
    • Personalization: Chatbots can be personalized to reflect the individual needs and preferences of each customer. This can help to create a more engaging and personalized experience for customers.
    • Convenience: Chatbots can make it easy for customers to get the information or assistance they need, without having to wait on hold or navigate through a complex website. This can save customers time and frustration, and it can also make them more likely to do business with your company.
    • Accuracy: Chatbots can be programmed to provide accurate and up-to-date information to customers. This can help to build trust and confidence with customers, and it can also help to reduce the number of customer support tickets.
    • Engagement: Chatbots can be used to engage customers in a conversation, which can help to build relationships and encourage repeat business. For example, chatbots can be used to ask customers questions about their preferences, or to provide them with updates on new products or services.
    3. What industries can benefit from using chatbot and conversational AI solutions?
    Chatbots and conversational AI solutions can be beneficial for businesses in a wide range of industries:
    • Customer Service: Chatbots can be used to provide 24/7 customer service, which can help to improve customer satisfaction and reduce wait times. They can also be used to answer customer questions, resolve issues, and provide support.
    • Sales and Marketing: Chatbots can be used to generate leads, qualify prospects, and close deals. They can also be used to upsell and cross-sell products and services, and to promote products and services.
    • Human Resources: Chatbots can be used to automate tasks such as scheduling interviews, onboarding new employees, and managing employee benefits. They can also be used to provide employee training and development.
    • Education: Chatbots can be used to provide personalized learning experiences for students. They can also be used to answer student questions, provide feedback, and track student progress.
    • Healthcare: Chatbots can be used to provide patients with information about their health conditions and treatment options. They can also be used to answer patient questions, schedule appointments, and provide reminders.
    4. How do chatbots and conversational AI technologies work together?
    Chatbots and conversational AI technologies work together to create a more natural and engaging user experience. Chatbots are computer programs that are designed to simulate conversation with humans. They use natural language processing (NLP) to understand human language and generate responses. Conversational AI is a broader term that encompasses the technologies that enable chatbots to understand and respond to human language. These technologies include NLP, machine learning (ML), and artificial intelligence (AI).
    5. Can chatbots and conversational AI solutions be customized to suit specific business needs?
    Yes, chatbots and conversational AI solutions can be customized to suit specific business needs. This is one of the main advantages of using these technologies. By customizing a chatbot or conversational AI solution, businesses can ensure that it meets their specific requirements and provides the best possible experience for their customers.
    6. Are chatbots capable of understanding and responding to natural language queries?
    Yes, chatbots are capable of understanding and responding to natural language queries. This is because they use natural language processing (NLP) to understand the meaning of human language. NLP is a branch of artificial intelligence (AI) that deals with the interaction between computers and human (natural) languages. It is used in a wide variety of applications, including chatbots, machine translation, and text analysis.
    7. Can chatbots integrate with existing systems and platforms, such as websites or mobile apps?

    Yes, chatbots can integrate with existing systems and platforms, such as websites or mobile apps. This allows them to access data and functionality from these systems, which can make them more powerful and versatile.

    There are a number of different ways to integrate chatbots with existing systems and platforms. One common approach is to use an API (application programming interface). An API is a set of rules that define how two pieces of software can communicate with each other. By using an API, a chatbot can access data and functionality from a system or platform without having to be tightly coupled to that system or platform.

    Another approach to integrating chatbots with existing systems and platforms is to use a chatbot framework. A chatbot framework is a software platform that provides the tools and infrastructure needed to build and deploy chatbots. Many chatbot frameworks include support for integrating with existing systems and platforms.

    8. Are there security measures in place to protect user data and ensure privacy with chatbots?
    Yes, there are security measures in place to protect user data and ensure privacy with chatbots. These include:
    • Encryption: Chatbots often use encryption to protect user data. This means that data is scrambled so that it cannot be read by unauthorized individuals.
    • Access Control: Chatbots often use access control to limit who can access user data. This means that only authorized individuals can access data.
    • Data Minimization: Chatbots often use data minimization to collect only the data that is necessary. This means that the chatbot does not collect any more data than it needs to function.
    • Pseudonymization: Chatbots often use pseudonymization to protect user data. This means that the data is associated with a pseudonym rather than a real name.
    • Data Deletion: Chatbots often use data deletion to remove user data when it is no longer needed. This means that data is not stored indefinitely.
    9. What level of scalability and performance can be expected from chatbot and conversational AI solutions?
    The scalability and performance of chatbot and conversational AI solutions can vary depending on a number of factors, including the platform or provider, the type of chatbot, and the volume of traffic. However, in general, chatbot and conversational AI solutions can be scaled to handle a large volume of traffic.

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    Get in Touch

    Thank you for contacting us! We’ll be in touch shortly to discuss how our AI solutions can help your business. For immediate assistance, email us at [email protected]