Launched a SAAS for building NLP based conversational interfaces.

Creative skills - User experience research | User experience design | Wireframing | Interaction design | Prototyping | Product design | Product strategy & roadmap | Product evangelising and growth | Product branding & identity.

Management skills - Product pitches | Client and stakeholder management | Product management | P&L


Co-founded an AI startup, Kontiki AI in 2017 where I envisioned to build a SAAS platform for a Natural Language Processing (NLP) based conversational agents. An AI company focused on simplifying the use of technology and enabling it for brands and businesses. The unique value proposition for the platform was anyone could quickly build a NLP trained bot that required zero coding in a cost effective way, which was also vertical and platform agnostic.

Problem Statement:

  • Peak time is ‘Always On’ when it comes to customer service: Customers want answer to most of their queries seamlessly and as per their convenience. Without having a need to interact with a human. Even better if it issues can be fixed and queries can be answered just over a text.

  • Inability to solve issues can quickly lead bad reputation(since human tendency is to criticize than appreciate): Resulting in loss of customers to competition.

  • How to make the right choice: Currently, there are several bot building platforms as a product. But most of them do not focus specifically into training quality datasets for building smarter conversational agents.

  • Cost factor: It is not easy to build a NLP trained chat assistant for those who do not come from a technical background. Heavenly dependent on having an in-house Machine Learning team or outsource the product to a tech firm.

Solution:

  • SAAS platform that enables anyone with or without technical understanding to build NLP based conversational agents. This will also be platform and vertical agnostic.

  • A Content Management System for chatbots — a unique platform that allows you to plug any kind of content from the web and build an NLP capable chatbot in very short time and with less development effort.

  • Enable premium subscribers to get an analytics dashboard for accessing bots’ performance analytics and real-time insights.

Insights summary from research and user interviews:


 

Product Pitch Snippets:

Outcome:

Several products designed, developed, and deployed with a leading semiconductor organisation.

Built the first ever event NLP trained chatbot for a marketing and advertising event in Asia Pacific.

Open sourced the NLP platform for the developer community and also as a means to evangelise the product.

Got featured and recognized in leading tech publications.

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My talk at the AI Summit, Singapore.

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Designed workplace collaboration.