Use the power of AI to improve customer engagement

Unlock the full potential of artificial intelligence with our No-code solution that seamlessly integrates with OpenAI’s ChatGPT. empowers you to harness the power of AI and enhance your customer interactions and streamline information retrieval.

Customer Engagement platform


Blend AI Chatbots with Human Connection

chatGPT integration

Our AI chatbot builder allows you to connect easily with chatGPT and provide AI powered responses to users queries on chatbot.

Deploy AI in 3 easy steps

Combine AI with rule based chats

Analyse AI chat history

chatgtp component

Train AI with custom data

Train AI model with data from multiple sources like Web, Files, Free Text and Manual Q&A. Combine variety of data to suite your use case. 

Multiple data format support

Reuse and retrain the pre-trained model

Intuitive UI for easy data upload

Configure and Deploy AI model

Our openAI chatGPT integration setup provides an intuitive UI to configure all possible parameters required to finetune the chatGPT responses. 

Choose multiple LLM models from openAI

Tailor the AI prompt to suit your use case

Edit and update the parameters anytime

configure chatGPT

Fallback to Human Handover

AI cannot replace humans therefore we offer a fallback mechanism to connect to Human agent in case user is not happy with AI responses or need specific details from an agent.

Continue AI chat with back to back questions

Connect to Agent for live chat / video call

Switch AI to Rule based conversation


key features

chatGPT integration

Custom train AI Model

Multiple data source

Easy training UI

Configure AI parameters

Reuse trained models

GPT 3.5 Model

GPT 4 Model

Use your API key

Fallback to Human

Back 2 Back queries

Blend AI with nonAI

How it works

  • Connect Data Sources

    Integrate your desired data sources. Scrape data from website, data from files (PDF, DOCX, TXT), create FAQ, raw Text

  • Scrape your data

    Use data from multiple sources to use for the custom AI LLM training

  • Configure AI parameters

    Set AI persona & behaviour to get the accurate responses. Configure base prompt, select GPT model, temperature etc.

  • Deploy model

    Finally deploy the custom AI Model. Regularly update and refine your AI model to adapt to changing user needs.

"One good conversation can shift the direction of change forever”

– Linda Lambert

Ready to
get started?