KeyPoint Technologies has emerged as a global leader in artificial intelligence, natural language processing, machine learning and building human-machine interfaces. Its products – Xploree +Adaptxt – have been installed on over a 100 million devices and are helping users type in 140 plus languages that includes 28 Indic languages. Nijhum Rudra spoke to Nutan ChokkaReddy, CEO, KeyPoint Technologies, about the various challenges in implementing a successful AI, ML and NLP solutions and how it is making a progress in emerging economies countries like India.
Please give an overview of KeyPoint Technologies. What is your key value proposition and what is the business model?
The latest feather in the hat for us is their product, Xploree AI Keyboard, the first mobile keyboard in the world that doubles up as a discovery platform. Powered by AI, the keyboard allows users to receive relevant suggestions and content (discoveries) while they chat, browse apps, etc.
XploreeAI Keyboard is currently on more than 17 million devices and the revenue is driven from the engagement on the discoveries presented, when the user expresses the need. Our Language SDK (with intent detection capability) is being used by partners across the globe in their products, with great success. We are one of the biggest providers of localization services and offer other high quality services in the language technology space. A significant portion of our revenue comes from these offerings.
What are some of the biggest challenges in implementing a successful AI, ML and NLP solution to predict what humans want and how is KeyPoint addressing the same?
The main challenges that one faces, with regards to context, while applying AI, ML & NLP are accuracy, speed, and nature of predictions. What also comes as a challenge here is usage of such complex technologies which involves stretching the limits of the device resources. This results in the app becoming slow and not responsive to the user’s liking, which will ultimately lead to quick uninstalls. In addition, privacy these days has become a major concern since people perform personal activities mostly on their mobile phones. People are very sensitive to the data that is being put on the network, particularly when they do not know what it is being used for.
For Xploree, we rely heavily on machine learning and sentiment modeling to churn different intents and expressions among zillions of text strings. To make the task simpler, we built lightweight NLP/NLU (natural language processing and natural language understanding) that sits on the user device and does the analysis within the device, ensuring user privacy.
How do you see AI/ML/NLP making a progress in a developing country like India? What is the current market size / potential?
Compared to AI leaders in the Silicon Valley and China, India is a laggard but gradually things are changing and the last couple of years have seen waves of start-ups and MNC’s taking up the challenge of building AI/NLP products. According to the latest market research report, the overall artificial intelligence market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. AI/NLP will not just bring benefits for the B2B industry, but will also bring exponential benefits and enhanced user experiences for consumers.
|“Overall AI market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. AI/NLP will not just bring benefits for the B2B industry, but will also bring exponential benefits and enhanced user experiences for consumers”|
What are the current trends in this space? How will you leverage this in the next five years?
Internet companies are tapping machine learning techniques for a range of uses—to recommend products and services, give real time updates and recommendations; healthcare uses AI to help hospitals make speedy and accurate reports and medical diagnoses, saving lives; fin-tech to improvise business models, processes, optimise costs, risks, and enhance user experience; retail to build recommendation engines, so on and so forth. Basically, AI is everywhere!
Artificial intelligence and machine learning have the potential to disrupt virtually any industry. Some of the key verticals that it will impact in the next 5 years can be transportation, retail, IoT and healthcare. All these technologies will require tounderstand the human language to provide the best possible experience to the users.
What are the biggest differentiators of KeyPoint?
With Xploree, KeyPoint Technologies has taken a step further to augment predictions: not just that of words but INTENT. The keyboard works with all devices, (across all apps, in virtually any language, based on unique individual history, personality, interests and behaviour), connecting people to content, products, services and solutions, almost faster than ideas can actually lead to words, that too in their moment of need!
Apart from intent prediction and discoveries, Xploree is one of the very few products that does all the text analysis on the device and thus ensures user’s privacy, adhering to the EULA (end-user license agreement) rules.
What has been the response for Xploree so far – consumers and businesses?
Xploree is currently delighting users on 17 million devices with over 30 OEMs and brand partners.
Both consumers and businesses alike haven’t yet seen such a unique product in the industry which is why the acceptance is challenging as well as rewarding. By creating serendipitous discovery experiences for users in the mobile moment, Xploree is setting new benchmarks in consumer engagement and experience.
What is the core business strategy for your products?
With Xploree AI Keyboard, the strategy involves finding the most appropriate content for user when the need is expressed, (through the partnerships we have with brands and content players) so that the user engages with the content and in turn contributes to the revenue. The language technology that we have built over the years is offered as an SDK and we have structured various licensing models to suit the needs of our partners. Our products can be customized to meet the needs of any application or platform that requires language technology support. Some of the examples that could leverage our technology would be virtual assistants, domain specific chatbots, custom keyboards, etc.
|“Our products can be customized to meet the needs of any application or platform that requires language technology support”|
What is your roadmap for 2018?
Given our expertise in linguistics and machine learning, we are indeed looking at an attractive opportunity ahead of us. We plan to take Xploree platform, including the Xploree AI Keyboard and ‘Search & Discovery’ platform, to the global audience by the end of 2018.