Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...Full Bio
Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
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Dexter Has Raised $2.3mm
The first year at Dexter brought a whirlwind of excitement, learnings, and an overall evolution of our core product. Today, I'm excited to announce that we've raised a $2.3mm seed round, led by Rakuten Ventures with participation from Social Starts and betaworks, in order to continue our progress and deliver a next-generation bot building platform.
In Bots We Trust
Last year, we set out to create a new kind of automation platform. We wanted to make the internet easier to connect‚??-‚??a way to glue together the disparate pieces of your digital life. We built tools for developers to manufacture API ‚??Legos‚?? that users could connect and create apps that even your parents could use. I'm proud of the team and the great product that we built. It was hard, though, to deliver the power of a truly customizable experience without sacrificing on capabilities and flexibility. While our visual tools weren't perfect for every purpose, our users really loved building chatbots. The new business vision we are building towards is a direct response to listening to input from our most passionate users.
To date we've supported a ton of chatbots built on Dexter's platform. Needless to say, we've learned a lot. I want to share with you a few of the key insights:
Ubiquity. Our first foray into chatbots was with a Dexter app called Spreadsheet Bot and Botwick. We powered chatbots built by teenagers, accomplished writers, entrepreneurs, and brands. The key to the success of this diverse group of chatbot authors was the ubiquity of Google Sheets and how familiar the app was to use. Chatbots are a new modality of communication and writers of diverse ages and backgrounds are going to be the pioneers; we need to give them the tools to explore and experiment. If you can write, you can build a bot on Dexter.
Real-time, Human Backed. Bots aren't sentient beings...yet. It's ok for a bot to not have an answer to a question that you asked, but there should be a clear path to a human being or at least a way to let the author know that there's a gap.
Extensible. Writing doesn't solve every problem. Sometimes you need to get data from an API, or bring in some big guns using artificial intelligence, machine learning, and natural language processing. There should be a clear path for engineers to bridge the gap.
We're using these insights (and the dough!) to build the best bot building platform around. Over the next month we'll be unveiling tools to build your chatbot and deliver a best in class conversational experience to your users, customers, and friends. Sign up on our homepage to get notified when we're ready for you! Or drop us a line if you'd like us to help build a chatbot for your business.