Introducing AI Chatbot

Lunai, your company's know it all assistant.

In your pocket.

Transform your business with Lunai. Your multilingual colleage, who always is available and ready to help you answer questions. Keeps your data safe and respect your privacy. Now with multimedia support!

Building blocks for a chatbot

Advanced, tailored to you and amazing!

Our team of experts uses the latest tech available, and put it together into a AI Chatbot that is customized to your needs, and build upon your data, in combination with other preferred sources.

  • Lunai keeps your data safe
  • Remember conversations
  • Speech - to - Speech
  • Easy set-up
  • Favourable pricing model
  • Multi Language
  • Image and video recognition

9 Parameters to personalize your AI Chatbot

  1. Formality
  2. Friendliness/Approachability
  3. Humor
  4. Degree of Formality
  5. Proactivity
  6. Adaptability
  7. Autonomy
  8. Empathy
  9. Level of Interactivity

Chatbot personality
Chat bot personalization

Customize your AI Colleague

Lunai makes integrating AI chatbots into your organization not only effortless but also enjoyable. Tailoring your chatbot to align with your company's unique needs and culture is crucial for seamless communication and enhanced user engagement.

Privacy Policy, GDPR, Data Protection for Lunai

Lunai's Integrity Policy, powered by StellAI, emphasizes your privacy, detailing our responsible data handling, including collection, use, and protection of personal information, ensuring transparency and trust.

No matter industry, there is a AI chatbot for you! 🙂

Discover how LunAI can revolutionize your business today. With adaptability, security, and continuous improvement, LunAI is not just a solution – it's your partner in business growth and success.

Chat bot personalization

How to personalize an AI Chatbot to your organization and purpose

  • Formality: Adjusts how formal or informal the bot is in its communication. This can include word choice, the use of slang, and the tone of the responses.

  • Friendliness/Approachability: Controls how friendly and welcoming the bot appears. This might involve the use of encouraging phrases, empathetic language, and the level of enthusiasm in the responses.

  • Humor: Determines how much and what type of humor the bot uses in its interactions, including jokes, puns, and light-hearted language.

  • Degree of Formality: Decides how formal or informal the bot's language is, which can be particularly relevant in professional or academic contexts.

  • Proactivity: Controls the extent to which the bot takes the initiative in conversation, such as asking questions or offering additional information without being directly asked.

  • Adaptability: How well the bot can adapt to the specific preferences or past interactions of the user, which might include remembering past conversations or adjusting the tone based on the user's behavior.

  • Autonomy: Level of independence or the ability to make decisions and give recommendations based on given data or user interactions.

  • Empathy: The ability to understand and reflect on the user's emotions or state, often used in customer support or therapeutic contexts.

  • Level of Interactivity: Degree of engagement in conversations, ranging from simple responses to more interactive and conversational styles.

A proven onboarding strategy makes it both easy, valuble and fun to work with us!

AI Chatbot onboarding

Lunai, an AI chatbot, is built on various data sources, making it both powerful and adaptable

Primary Datasources

  • Web Scraping: Gathers information from websites.

  • Social Media: Uses data from social platforms for relevant responses.

  • Local Groups: Integrates local information for community-focused interaction.

  • Internal Documents: Accesses company-specific content for accurate answers.

  • APIs: Connects with other services for up-to-date information.

  • Image Databases: Adds visual elements to chatbot interactions.

  • Digital Asset Management (DAM): Manages and uses digital resources effectively.

A strong and flexible foundation makes it easy to also integrate additional sources

Customer Feedback and Surveys: Insights from direct user feedback can help in refining the chatbot's responses and understanding user needs better.

CRM Systems: Data from Customer Relationship Management systems can personalize interactions based on customer history and preferences.

Email Correspondence: Analyzing past email exchanges can provide context and improve response accuracy.

Voice and Audio Analysis: Incorporating voice recognition and processing for more natural, voice-based interactions.

IoT Device Data: Data from Internet of Things devices can be used for more interactive and responsive functionalities in certain contexts.

Transactional Data: Information from transactions, such as purchase history or service usage, can tailor the chatbot's recommendations and advice.

Knowledge Bases and FAQs: Integrating existing informational resources for quick, accurate information retrieval.

Public Datasets: Utilizing publicly available data for broader insights and contextual understanding.

Real-Time News Feeds: Keeping the chatbot updated with current events for timely and relevant interactions.

Chat Logs: Learning from previous chat sessions to improve conversation flows and response relevance.