Company | Novaxis

Our Story

Novaxis was founded in 2021 by a team of engineers and linguists who recognized a gap in how businesses communicate with their customers. We observed that many service teams were overwhelmed with repetitive inquiries while customers waited longer than necessary for straightforward answers. The solution seemed clear: intelligent automation that respects both the customer's time and the support team's expertise.

Based in Singapore, we've spent the past several years refining our approach to conversational AI development. Our focus has always been on creating chatbots that genuinely assist rather than frustrate. We prioritize natural language understanding, appropriate escalation to human agents, and continuous learning from real interactions. Each implementation is tailored to the specific needs and tone of the organization we're working with.

Today, our chatbots handle thousands of customer conversations daily across various industries in Southeast Asia. We work with businesses of different sizes, from startups looking to establish their first automated support channel to established companies integrating conversational AI across multiple touchpoints. Our approach remains consistent: understand the business context thoroughly, design conversations that feel natural, and deploy systems that improve over time.

Our mission is to make customer service more accessible and efficient through AI that understands context, responds appropriately, and knows when to step aside for human judgment. We believe that well-designed conversational AI doesn't replace customer service teams but rather enables them to focus on complex inquiries that truly benefit from human insight and empathy.

Our Team

A diverse group of engineers, designers, and language specialists dedicated to conversational AI.

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Jun Wei Lim

Co-Founder & Technical Director

Jun Wei leads our technical development with over twelve years of experience in natural language processing and machine learning. He previously worked on voice assistants at a major tech company.

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Sarah Tan

Co-Founder & Conversation Design Lead

Sarah specializes in conversation design and user experience. She brings expertise from linguistics and human-computer interaction research, ensuring our chatbots communicate clearly and empathetically.

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Raj Kumar

Integration Specialist

Raj manages platform integrations and deployment. With a background in enterprise software architecture, he ensures our chatbots work seamlessly with existing customer service infrastructure.

Quality Standards

Our commitment to delivering reliable, secure, and effective conversational AI solutions.

Data Protection

We comply with Singapore's Personal Data Protection Act and implement industry-standard encryption for all conversation data. Access controls and audit logs ensure accountability at every stage.

Testing Protocols

Every chatbot undergoes comprehensive testing with real user scenarios before deployment. We validate intent recognition accuracy, escalation paths, and edge case handling to ensure reliable performance.

Language Quality

Our conversation designers review all chatbot responses for clarity, tone appropriateness, and cultural sensitivity. We avoid ambiguous phrasing and ensure responses align with your brand voice.

Performance Monitoring

We track resolution rates, escalation patterns, and customer satisfaction metrics. Regular analysis of conversation logs helps us identify improvement opportunities and refine the chatbot's capabilities.

Privacy by Design

We collect only the data necessary for effective conversations. Personal information is handled according to your privacy policies, with clear retention periods and deletion protocols established upfront.

Ongoing Support

Post-deployment support includes conversation tuning, knowledge base updates, and technical assistance. We provide training to ensure your team can manage routine updates and understand chatbot analytics.

Our Approach

Successful conversational AI requires understanding both the technology and the human element of customer service. We begin each engagement by analyzing your current support patterns, identifying common inquiry types, and mapping existing workflows. This foundation ensures the chatbot we develop addresses actual needs rather than theoretical ones.

Conversation design is central to our process. We craft dialogue flows that anticipate customer intent, provide clear options when ambiguity arises, and escalate gracefully when human judgment is needed. Our chatbots ask clarifying questions when necessary rather than guessing, and they acknowledge limitations openly instead of providing unreliable answers.

Technical implementation focuses on reliability and integration. We use proven natural language processing frameworks and deploy on infrastructure that scales with your needs. Whether integrating with your existing CRM, helpdesk platform, or messaging channels, we ensure data flows smoothly and securely between systems.

Deployment is iterative rather than abrupt. We typically launch with a limited set of capabilities, monitor performance closely, and expand functionality based on actual usage patterns. This approach reduces risk while allowing the chatbot to learn from real customer interactions in a controlled environment before broader rollout.

Building bridges between businesses and customers