Boost Ai Review 2024 : Everything you need to know

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April 18, 2023 is a versatile conversational artificial intelligence (AI) platform available both in the cloud and for on-premise use. Its primary purpose is to assist businesses across various sectors, including credit unions, banking, telecom, insurance, and the public sector, in developing, launching, and managing chatbots for the efficient automation of customer service and internal support inquiries on a large scale.
This platform employs self-learning AI, allowing organisations to harness data from existing websites, chat logs, or previous chatbot interactions, significantly reducing the time required to create advanced virtual agents. The time frame for agent development can be compressed from weeks or months down to mere days. leverages deep learning and natural language processing (NLP) technologies, incorporating its proprietary automatic semantic understanding (ASU) technology to comprehend and respond to queries through chatbots and popular applications like Skype, Messenger, and Slack. It comes equipped with a range of valuable features, including a centralised information repository, authentication management, pre-defined templates, language detection, conversational IVR, and more.
This platform features an integrated AI-enabled administrative panel, allowing businesses to design natural interactions with automated conversation flows in a user-friendly, no-code environment, facilitating customer connections with self-service portals. empowers managers to gain insights into conversational data, quality assessments, and other essential metrics through its analytics and statistics capabilities, enabling them to fine-tune customer engagement strategies. Furthermore, it supports seamless integration with a variety of third-party applications such as Microsoft Teams, Salesforce, Genesys, Puzzel, Zendesk, eGain, and many others.

In the article below you’ll get to know a lot about the Boost AI Chatbot – its features, benefits, pricing plans, pros and cons, alternatives and other integration tools.

What is Boost Ai?

“” is a company that excels in crafting conversational AI and chatbot solutions. Their expertise lies in furnishing a platform for the creation and administration of chatbots, with a specific emphasis on delivering AI-driven customer service and support. These chatbots from are meticulously crafted to streamline interactions and furnish aid to users across a wide spectrum of industries.
Typically,’s chatbots harness the power of natural language processing (NLP) and machine learning technologies to grasp and promptly address user queries in a conversational and human-like fashion.

Who is the founder of Boost Ai?

Lars Ropeid Selsås is the visionary founder of, establishing the company’s roots in 2016 and propelling it to remarkable success. In a mere six months, he orchestrated the acquisition of the company’s inaugural significant contract, and within just two years, he steered to become the preeminent provider of conversational AI solutions across the Nordic region.

Rating Of Boost Ai

According to Get App, Boost AI Chatbot has been rated 4.8 out of 5. Similarly, according to TrustRadius, it is rated 9.8 out of 10.

What Kind of chatbot elements Boost AI has? chatbots are equipped with a wide array of capabilities to enhance user interactions and provide comprehensive support. These chatbots can seamlessly handle various content types and functionalities, including:

  1. Delays: chatbots can introduce delays in responses to simulate natural conversation pacing, ensuring a more human-like interaction.
  2. Images: Users can share images with the chatbot, allowing for visual communication and assistance.
  3. Video: The chatbot can process and display video content, making it an effective medium for providing information or instructions.
  4. Audio: chatbots support audio interactions, enabling users to engage through voice-based communication.
  5. Attachments: Users can share different types of attachments, such as documents or files, for specific queries or requests.
  6. Gallery (Horizontal List): The chatbot can present information in a visually appealing horizontal list format, making it easier for users to browse through options.
  7. Vertical List: Similarly, the chatbot can present information in a vertical list, simplifying content presentation and navigation.
  8. Emojis: chatbots can recognize and respond to emojis, adding a touch of expressiveness to the conversation.
  9. Persistent Menu: The chatbot may feature a persistent menu, offering quick access to essential functions or information throughout the conversation.
  10. Quick Replies: Users can select from predefined quick reply options to streamline interactions and make choices more convenient.
  11. Buttons: Interactive buttons are employed to guide users through decision-making processes, such as choosing from multiple options.
  12. Free Text Input: Users have the flexibility to engage in free-form text input, allowing for open-ended conversations.
  13. Location Sharing: The chatbot can collect and utilise location data, enabling location-specific services or recommendations.
  14. Email Validation: chatbots can validate email addresses, ensuring accuracy when users provide their email information.
  15. Phone Number Validation: Similarly, phone number validation is supported to verify contact information.
  16. Date Validation: The chatbot can validate and process date-related information, facilitating scheduling and appointment requests.

These elements collectively enable chatbots to offer a versatile and engaging conversational experience, accommodating various user preferences and interaction styles.

How does Boost Ai work? is a company that specialises in developing conversational AI and chatbot solutions. Following are some ways how Boost AI works:

  1. Natural Language Processing (NLP): At the core of most chatbots, including those developed by, is NLP technology. NLP allows the chatbot to understand and process human language, both written and spoken. It involves tasks such as text parsing, entity recognition, and sentiment analysis.
  2. Machine Learning: Chatbots often use machine learning algorithms to continuously improve their performance. They learn from past interactions and user feedback to refine their responses and become more accurate and effective over time.
  3. Data Training: Chatbots are trained on large datasets of text and conversation to learn the patterns and language nuances used by people. This training helps them understand user inputs and generate contextually appropriate responses.
  4. Intent Recognition: Chatbots analyse user queries to determine the user’s intent. They can identify what the user is asking or trying to achieve and respond accordingly.
  5. Response Generation: Based on the user’s intent and the context of the conversation, the chatbot generates a response. This response may be pre-defined or dynamically generated based on available information.
  6. User Interface: Chatbots have a user interface where users can input their queries or commands. This interface could be a website chat widget, a messaging app, or other platforms.
  7. Integration: Chatbots can be integrated with various systems and databases to access information and perform actions on behalf of the user. For example, they might integrate with customer databases, inventory systems, or external APIs.
  8. Multi-Modal Support: Some chatbots, including those from, can handle various content types like text, images, video, audio, and attachments to provide richer interactions.
  9. Customization: Businesses can customise the chatbot’s behaviour, appearance, and conversation flows to align with their specific needs and branding.
  10. Continuous Learning: Chatbots continuously learn from new data and user interactions, adapting and improving their responses and capabilities over time.

What are the benefits of Boost Ai?

Some common benefits of using’s solutions may include:

  1. Improved Customer Service:’s chatbots can provide round-the-clock support, answering common queries and resolving issues, which can lead to higher customer satisfaction and reduced response times.
  2. Cost Savings: Automating customer interactions with chatbots can reduce the need for human agents, lowering operational costs while maintaining service quality.
  3. Efficiency: Chatbots can handle multiple conversations simultaneously, ensuring quick and consistent responses to user inquiries.
  4. Scalability: Chatbots can scale to meet the growing demands of customer support without the need to hire and train additional human agents.
  5. Enhanced User Experience: Conversational AI can provide a user-friendly and natural interface for users to interact with a brand or business.
  6. Data Insights:’s chatbots can collect valuable data on user interactions, which can be analysed to gain insights into user preferences, common issues, and areas for improvement.
  7. Personalization: Chatbots can use data to provide more personalised recommendations and responses, enhancing the user experience.
  8. Consistency: Chatbots provide consistent and standardised responses, ensuring that all users receive the same level of service.
  9. Quick Deployment:’s solutions are designed for relatively quick deployment, allowing businesses to start using chatbots within a short timeframe.
  10. Multilingual Support:’s chatbots often support multiple languages, allowing businesses to engage with a global audience.

Features of Boost Ai

The specific attributes of’s chatbot and conversational AI solutions may differ based on the version and services they provide. Nonetheless, here are some typical features closely associated with’s conversational AI technology:

  1. Natural Language Processing (NLP):’s chatbots typically employ NLP technology to comprehend and process human language, fostering natural and context-aware conversations.
  2. Machine Learning: Chatbots come equipped with machine learning capabilities, allowing them to iteratively enhance their responses based on user interactions.
  3. Customization:’s solutions offer extensive customization options, empowering businesses to adapt the chatbot’s behaviour, appearance, and conversation flows to match their unique requirements and branding.
  4. Multilingual Support: Many of’s chatbots are adept at engaging with users in multiple languages, catering to diverse global audiences.
  5. Integration: These chatbots seamlessly integrate with diverse systems and databases, granting access to pertinent information and enabling actions on behalf of users.
  6. Rich Media Support:’s chatbots often handle various content types, including text, images, videos, audio, and attachments, for more captivating and informative interactions.
  7. Quick Replies: Users can conveniently select from predefined quick reply options, streamlining interactions and decision-making.
  8. Buttons: Interactive buttons guide users through complex decision processes, simplifying choices from among multiple options.
  9. User Authentication: Certain chatbots offer authentication features to validate user identities, ensuring tailored and secure assistance.
  10. Information Repository: Centralised databases or repositories guarantee that chatbots access accurate and up-to-date information, enhancing the quality of responses.
  11. Analytics and Reporting:’s solutions provide tools for collecting and analysing data related to chatbot interactions, user satisfaction, and other key metrics, facilitating performance optimization.

How much easy user interface Boost Ai has?

The ease of use of’s user interface may fluctuate depending on the specific product or service they provide and the extent of customization and features adopted by businesses. Nevertheless, consistently prioritises user-friendliness and intuitive design in their interfaces. Here are key facets of’s user interface that foster simplicity and accessibility:

  1. Variability in Customization: The ease of navigating’s interface can differ according to the particular product or service and the extent of customization chosen by businesses. However, frequently ensures that their interfaces are user-friendly and intuitive. Here are some fundamental components of’s user interface that contribute to its user-friendliness:
  2. No-Code Environment: Many of’s solutions are engineered for use in a no-code or low-code environment, streamlining the creation and customization of chatbots, even for users with limited programming knowledge.
  3. Visual Design Tools: often provides visual design tools and interfaces that empower users to craft conversation flows, define responses, and configure chatbot behaviour through a user-friendly, drag-and-drop approach.
  4. Pre-Defined Templates: Businesses frequently have the option to commence with pre-defined templates, simplifying the creation of chatbot interactions and the alignment of these interactions with their unique requirements.
  5. Customization Flexibility: In addition to pre-built templates, offers substantial customization options, permitting businesses to adjust the chatbot’s appearance and behaviour to match their specific branding and needs.
  6. Training and Support: typically offers training and support resources, assisting users, particularly those new to conversational AI, in initiating their chatbot solutions and enhancing the accessibility of the user interface.
  7. Analytics and Reporting Tools: The user interface often includes built-in tools for the analysis of chatbot performance and user interactions. This allows businesses to make data-driven refinements with ease.
  8. Multichannel Integration:’s chatbots are capable of seamless integration into a variety of communication channels, such as websites and messaging apps. This enriches the interface’s flexibility and usability.

Pros Of Boost Ai, a company specialising in conversational AI and chatbot solutions, brings forth a host of potential advantages for businesses and organisations that embrace their technology. These benefits, commonly known as “pros,” encompass:

  1. Enhanced Customer Support:’s chatbots provide round-the-clock customer support, effectively tending to common inquiries and issues, resulting in heightened customer satisfaction and swifter response times.
  2. Cost-Efficiency: Through the automation of customer interactions, chatbots reduce reliance on human agents, leading to cost savings while maintaining service quality.
  3. Operational Efficiency: Chatbots adeptly manage multiple conversations concurrently, ensuring timely and uniform responses to user queries.
  4. Scalability: These chatbots seamlessly adapt to escalating customer support demands, negating the need to recruit and train additional human agents.
  5. Elevated User Experience: Conversational AI cultivates a user-friendly and intuitive interface, facilitating user interactions with brands and businesses.
  6. Data-Driven Insights:’s chatbots capture valuable user interaction data, empowering insightful analysis to unveil user preferences, common issues, and avenues for improvement.
  7. Personalization: Chatbots harness data to offer personalised recommendations and responses, enriching the overall user experience.
  8. Consistency: Chatbots furnish consistent and standardised responses, ensuring a uniform level of service for all users.
  9. Rapid Deployment:’s solutions are engineered for swift deployment, enabling businesses to promptly integrate chatbots into their operations.
  10. Multilingual Proficiency:’s chatbots frequently support multiple languages, empowering businesses to engage a diverse global audience.
  11. Seamless Integration: Chatbots smoothly integrate with diverse systems and databases, facilitating access to pertinent information and the execution of tasks on behalf of users.
  12. Round-the-Clock Availability: Chatbots remain accessible at all times, delivering user assistance even beyond regular business hours.
  13. Error Reduction: Chatbots curtail the likelihood of human errors in customer interactions by furnishing precise and consistent responses.

Cons of Boost Ai

While offers various benefits and solutions for conversational AI and chatbots, there are potential drawbacks or challenges associated with their technology. These cons, like the pros, can vary depending on specific use cases and implementations. Some of the potential cons of or similar conversational AI solutions may include:

  1. Initial Development Complexity: Creating and configuring chatbots, especially for complex use cases, can be initially challenging and may require technical expertise.
  2. Training and Data Requirements: Training chatbots effectively requires a substantial amount of data and ongoing effort. Businesses need to provide sufficient training data and fine-tuning to achieve optimal performance.
  3. Lack of Human Touch: While chatbots offer efficiency, they may lack the human touch and empathy that some customer interactions require, potentially leading to a less satisfying experience for certain users.
  4. Integration Challenges: Integrating chatbots with existing systems and databases can be complex, and compatibility issues may arise.
  5. Language and Context Limitations: Chatbots may struggle with understanding complex or highly specialised language, as well as context in some cases, leading to inaccurate or irrelevant responses.
  6. Privacy and Data Security: Handling user data and privacy concerns is crucial. Mishandling or breaches of sensitive data can lead to legal and reputational issues.
  7. User Resistance: Some users may resist or find chatbots frustrating, leading to a preference for human support.
  8. Maintenance and Updates: Chatbots require ongoing maintenance, updates, and monitoring to ensure they remain effective and up to date.
  9. Cost of Implementation: While chatbots can lead to cost savings in the long run, the initial implementation can incur costs related to development, training, and integration.
  10. Limited Problem-Solving Skills: Chatbots are typically designed for specific tasks or FAQs and may struggle with complex problem-solving scenarios.
  11. Over-Reliance on Automation: Over-reliance on chatbots without the option for human intervention can lead to user frustration, particularly in cases that require human judgement.
  12. Diversity and Inclusion: Chatbots may not always be fully inclusive or accessible to individuals with disabilities or those who speak less common languages.

How is the Customer support of Boost Ai, a company specialising in conversational AI and chatbot solutions, emphasises the importance of providing strong customer support to its clients. The quality of customer support can be a critical factor in a technology provider’s reputation and the overall satisfaction of its customers. Here are some aspects that typically contribute to the customer support of

  1. Responsive Communication: often strives to maintain responsive communication channels, allowing clients to reach out for assistance promptly. This includes email support, phone support, and, in some cases, chat support.
  2. Technical Assistance: The customer support team is usually well-versed in the technical aspects of’s solutions. They can provide guidance, troubleshooting assistance, and technical insights to address client queries.
  3. Training and Onboarding: often offers training and onboarding programs to help clients get started with their conversational AI technology. This can include webinars, documentation, and tutorials to ensure clients can make the most of the platform.
  4. Dedicated Account Managers: For larger or enterprise-level clients, may assign dedicated account managers who provide personalised support and act as a point of contact for ongoing assistance.
  5. Knowledge Base: may maintain a comprehensive knowledge base or documentation that clients can access to find answers to common questions and learn about the platform’s features.
  6. Community and Forums: Some technology providers, including, establish online communities or forums where clients can share experiences, seek advice, and interact with peers and experts.
  7. Regular Updates: typically informs clients about updates, improvements, and new features through various channels. This keeps clients informed about the latest developments in the platform.
  8. Data Security and Compliance Guidance: may provide guidance on data security and compliance, particularly when dealing with sensitive customer data. This can help clients ensure that they are using the technology in a secure and compliant manner.

Available Integration Options in Boost Ai typically provides integration options with a range of third-party applications and platforms to augment the functionality and capabilities of its conversational AI solutions. While the specific integrations may vary based on the platform version and the client’s specific needs, here are some common integration avenues that is known to offer:

  1. Messaging Apps: This involves linking with popular messaging platforms like Facebook Messenger, WhatsApp, and Slack, empowering businesses to interact with users on these widely used communication channels.
  2. Website Integration: This integration seamlessly embeds chatbots into websites, delivering real-time assistance and information to visitors navigating the site.
  3. CRM Systems: integrates with Customer Relationship Management (CRM) systems such as Salesforce, enabling chatbots to access and update customer data efficiently.
  4. Help Desk Software: Clients can integrate their chatbots with help desk software like Zendesk, Freshdesk, or Intercom, facilitating chatbots’ involvement in support ticket management and creation.
  5. Communication Platforms: supports integration with communication and collaboration platforms like Microsoft Teams and Slack, streamlining internal team communication and coordination.
  6. E-commerce Platforms: Businesses can seamlessly integrate chatbots with e-commerce platforms like Shopify or WooCommerce, allowing chatbots to offer product information, recommendations, and assistance to online shoppers.
  7. Voice Assistants:’s technology is compatible with voice assistants like Amazon Alexa and Google Assistant, enabling voice-based interactions and support.
  8. Analytics Tools:’s solutions can integrate with various analytics tools for tracking and assessing chatbot performance, user interactions, and other pertinent metrics.
  9. API Access: Clients can create custom integrations through Application Programming Interfaces (APIs) to establish connections between and specific databases, systems, or unique applications tailored to their business.
  10. Payment Gateways: This involves the integration of chatbots with payment gateways, streamlining transactions and payments conducted through the chatbot interface.
  11. Database Integration: Chatbots can connect with databases to retrieve and update data relevant to customer queries.
  12. IoT Platforms: enables integration with Internet of Things (IoT) platforms, empowering chatbots to interact with and manage IoT devices and systems.
  13. Social Media: Integration with social media platforms like Twitter and LinkedIn enables chatbots to provide customer support and engagement on these platforms.

Is it safe to use Boost Ai?, akin to other reputable providers of conversational AI and chatbot solutions, places a significant emphasis on safeguarding the security and privacy of its technology. Nevertheless, the level of safety and security in using the platform is contingent upon the implementation, configuration, and practices adopted by individual organisations. Below are key safety considerations when utilising

  1. Data Security: typically incorporates security measures to shield the data and information processed by its chatbots. This encompasses encryption, best practices in data storage, and access controls to thwart unauthorised access to user data.
  2. Compliance: frequently aligns its practices with data protection and privacy regulations, such as GDPR (General Data Protection Regulation) in Europe. This ensures that user data is managed in a lawful and privacy-conscious manner.
  3. User Consent: Organisations that employ’s technology must ensure they secure user consent for data processing, especially when handling personal or sensitive data.
  4. Authentication: may offer authentication mechanisms to verify the identities of users interacting with the chatbot. This is instrumental in ensuring that sensitive information is disclosed exclusively to authorised individuals.
  5. Regular Updates: Remaining current with the latest versions and security patches of the platform is imperative to address any recognized security vulnerabilities.
  6. Training and Awareness: It is crucial to guarantee that personnel or team members responsible for configuring and deploying are well-versed in security best practices to avert inadvertent security lapses.
  7. Third-Party Integrations: In cases where the chatbot integrates with third-party systems or applications, organisations should assess the security of these integrations and ensure compliance with pertinent security standards.
  8. Testing and Auditing: Regular security testing and audits of the chatbot’s configuration and integrated components can identify and mitigate potential vulnerabilities.

How to get started with Boost Ai?

To initiate your journey with, you can typically proceed through the following steps:
Contact Your initial step involves reaching out to through their sales or customer support team. This initial contact is pivotal for commencing discussions on your specific needs, gaining insights into pricing and licensing options, and obtaining information about the solution that aligns best with your requirements.
Assessment and Requirements Gathering: The team collaborates with you to evaluate your distinct needs. This encompasses defining the type of chatbot you aim to create, specifying the platforms for deployment, and assessing the extent of customization necessary. This assessment phase helps tailor the solution to your organisation’s unique demands.
Select a Solution: offers a spectrum of conversational AI solutions. You’ll need to choose the one that harmonises with your objectives. This selection might involve deciding between on-premise or cloud-based deployment, hand-picking the features and integrations that suit your needs, and making choices regarding the licensing model.
Implementation and Configuration: With your chosen solution in place, the implementation phase commences. The team guides you in configuring the chatbot to meet your precise requirements. This involves delineating conversation flows, configuring responses, and integrating the chatbot with your chosen platforms or systems.
Training and Testing: The pivotal step of training your chatbot is initiated. usually provides a suite of tools and resources for training your chatbot to comprehend and respond effectively to user queries. This process involves providing sample conversations, defining user intents, and fine-tuning the chatbot’s responses. Rigorous testing is performed to ensure the chatbot functions as anticipated.
Deployment: Once your chatbot is adequately trained and thoroughly tested, it’s ready for deployment. You can launch it on your website, messaging applications, or other platforms where user interaction is desired.
Monitoring and Optimization: Subsequent to deployment, the ongoing process of monitoring your chatbot’s performance begins. This entails tracking user interactions, scrutinising data, and refining the chatbot’s responses to enhance its efficacy.
User Training: Equipping your team and users with knowledge about the chatbot is essential. Ensure that your customer support or internal teams are well-versed in the chatbot’s capabilities to effectively assist users.
User Support and Feedback: Extend support to users who may encounter questions or issues while interacting with the chatbot. Encourage users to provide feedback, which can be invaluable for enhancing the chatbot’s capabilities.
Regular Updates: Stay informed about any updates and novel features offered by It’s imperative to keep your chatbot and underlying technology stack up to date to ensure optimal performance.

Alternative Of Boost Ai

If you’re exploring alternatives to, there are several options available for businesses and organisations. Here are a few alternatives to consider:

  1. Chatbot.Team: Chatbot.Team is a conversational AI platform that provides solutions for chatbot development and deployment. It empowers businesses to create chatbots for various purposes, including customer support, lead generation, and more. While it may not have the same level of recognition as some larger platforms, it presents a viable option for organisations in need of chatbot capabilities.
  2. IBM Watson Assistant: IBM Watson Assistant stands as a robust conversational AI platform that allows businesses to craft chatbots and virtual agents for diverse applications, including customer support and virtual assistants.
  3. DialogFlow (by Google): Dialogflow, developed by Google, is a well-known natural language processing (NLP) platform that facilitates the creation of chatbots and virtual agents for websites, mobile apps, and various messaging platforms.
  4. Microsoft Bot Framework: Microsoft offers a comprehensive Bot Framework that empowers businesses to build chatbots with seamless integration into Microsoft Teams, Skype, and other Microsoft products.
  5. Amazon Lex: Amazon Lex is a service designed for the development of conversational interfaces, accommodating voice and text interactions. It’s frequently used for crafting chatbots for Amazon Alexa and other applications.
  6. Rasa: Rasa is an open-source conversational AI platform that grants businesses the ability to construct highly customizable chatbots and virtual assistants while maintaining full control over data and customization.

Why use

Chatbot.Team delivers significant value to businesses seeking to harness the capabilities of chatbots, and this value is evident for several compelling reasons:

  1. Intuitive User Interface: Chatbot.Team boasts an intuitive user interface, ensuring that individuals with diverse technical backgrounds can effortlessly navigate the platform and make the most of its features.
  2. Tailored Solutions: The platform offers the flexibility to precisely customise chatbots to align with your business requirements, whether your objectives involve managing customer inquiries, enhancing lead generation, or optimising customer support.
  3. Cross-Platform Accessibility: Chatbots seamlessly operate on websites and popular messaging applications, guaranteeing that your audience can engage with your business through their preferred channels, ensuring a consistent and hassle-free user experience.
  4. Continuous Improvement: Chatbots are dynamic entities that evolve over time, leading to more refined interactions with customers and more meaningful, efficient engagement.
  5. Cost-Efficiency: Chatbot.Team provides pricing plans designed to accommodate businesses of all sizes, making chatbot technology accessible without straining your budget.
  6. Versatility: The platform’s versatility extends to a multitude of tasks, encompassing addressing customer inquiries, resolving issues, driving lead generation, and delivering real-time support.
  7. Prompt Responsiveness: Chatbots excel in real-time communication, ensuring swift responses and immediate user support. This enhances user satisfaction and elevates the effectiveness of customer service.
  8. Scalability: As your business expands, Chatbot.Team seamlessly adapts to your growth, allowing you to introduce new chatbots and features as needed.
  9. Seamless Integration: The platform smoothly integrates with various tools and software used by your business, ensuring a streamlined and well-coordinated workflow.
  10. Responsive Customer Support: In instances where queries or challenges arise, Chatbot.Team provides responsive customer support, delivering guidance and solutions to help you fully unlock the platform’s potential.

Boost Ai vs

When comparing Boost Ai and, it’s crucial to take into account your particular business needs, financial considerations, and objectives. Both platforms provide solutions for conversational AI and chatbots, but they may excel in different areas. Here’s a comparison of these two platforms:
Boost Ai:

  1. Industry Expertise: Boost Ai has a strong presence in various industries, including credit unions, banking, telecom, insurance, and the public sector. It may offer specific features and solutions tailored to these sectors.
  2. Self-Learning AI: Boost Ai places a strong emphasis on self-learning AI, enabling chatbots to continually enhance their performance based on user interactions and data.
  3. Proprietary ASU Technology: Boost Ai employs Automatic Semantic Understanding (ASU) technology, enhancing the chatbot’s capacity to comprehend and respond to queries effectively.
  4. Deep Learning and NLP: Boost Ai leverages deep learning and natural language processing (NLP) technologies to create more human-like and context-aware conversations.
  5. Integration: The platform offers integration with a variety of third-party applications, including Microsoft Teams, Salesforce, Genesys, and more.

  1. Intuitive User Interface: is known for its intuitive user interface, ensuring accessibility for individuals with diverse technical backgrounds.
  2. Cross-Platform Accessibility: seamlessly operates on websites and popular messaging applications, guaranteeing consistent user experiences.
  3. Cost-Efficiency: The platform provides pricing plans designed to accommodate businesses of all sizes, ensuring accessibility without imposing budget constraints.
  4. Prompt Responsiveness: excels in real-time communication, ensuring rapid responses and immediate user support, thereby enhancing customer satisfaction.
  5. Tailored Solutions: The platform offers flexibility for precise chatbot customization, aligning with your specific business goals, whether they involve handling customer inquiries, driving lead generation, or providing support.


In conclusion, Boost Ai is a versatile platform that specialises in conversational AI and chatbot solutions. It offers businesses the tools to create and manage chatbots, enhancing customer support and engagement. While it has numerous advantages, such as improved customer support, cost savings, and scalability, there are also potential drawbacks to consider, like initial development complexity and privacy concerns. The choice to use Boost Ai or explore alternatives like Chatbot.Team should be based on your specific business needs, goals, and budget. Careful assessment and testing can help determine which platform best aligns with your requirements.

Frequently Asked Questions is a company specialising in conversational AI and chatbot solutions. They offer a platform for creating and managing chatbots, with a focus on enhancing customer support and engagement through artificial intelligence-powered interactions. Their chatbots are designed to automate conversations and provide assistance in various industries.

Boost Ai is used for creating and managing chatbots powered by artificial intelligence. These chatbots can automate customer support, improve engagement, and assist users in various industries and applications.

Boost Ai typically offers customised pricing plans upon request and does not provide a free version. Pricing details can be obtained by contacting their sales team.

Boost Ai works by using artificial intelligence, including natural language processing (NLP) and deep learning technologies, to create chatbots. These chatbots can interpret and respond to user queries in a conversational manner. They can be integrated into various platforms and are designed to automate customer service and support, improving efficiency and user engagement.

Disadvantages of Boost Ai can include initial development complexity, training and data requirements, potential lack of human touch, integration challenges, language and context limitations, privacy and data security concerns, user resistance, maintenance and updates, cost of implementation, limited problem-solving skills, and over-reliance on automation.

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