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Ritu Srivastava, CEO & Co-founder, Lightbulb.Ai talks to us about the emotional analytics that can be used with AI.
Which patents have you got and what techs have they innovated?
Ritu Srivastava - Lightbulb is an emotion ai platform whose horizontal emotion and engagement offerings cut across a wide range of vertical industry segments, and it currently has 4 patents in the pipeline, focused on capturing emotion cues to assess teacher quality in online learning to monitoring lead quality in sales enablement to qualitative assessment in market research to soft skills training for recruitment tech. More are in the pipeline as well.
What problems do these patents solve?
Ritu Srivastava - Lightbulb is geared to help businesses that offer remote user experiences, to solve for higher engagement by mapping user emotion and engagement in real-time. From analysing user engagement during live meetings/calls to researching the emotional impact of pre-recorded content and asynchronous user experiences on consumers, Lightbulb’s key USP is offering customized & nuanced solutions that are relevant to industries such as online learning, sales enablement and consumer research amongst others.
What is the adoption graph of these patents - in metros and in non-metros, by the small and large enterprises?
Ritu Srivastava - Lightbulb‘s current products are targeted towards mid-sized enterprises in the segments of online learning, consumer research and sales enablement. Each patent is use-case or industry specific and embedded into the core technology and processes of the LB platform for emotion recognition and engagement analytics.
In which direction is Emotion AI moving and where are you taking it?
Ritu Srivastava - According to a recent report by NASSCOM, the integrated adoption of AI and data utilisation strategies can add upto $500 billion to India’s GDP by 2025. This is already evident as these technologies are increasingly proliferating in our existing remote work and learning environments & while the extent of this proliferation is at an exploratory stage today, as we uncover the true value of these technologies intersecting with our work and lives, we expect these technologies to become commonplace.
The report also suggests that there are four key sectors spearheading the AI adoption - banking and financial services, consumer products and retail, healthcare, and industrial and automotive - and it is said that these sectors could contribute about 60% of AI’s potential value-addition of $450-500 billion to the country’s GDP by 2025. However, I do believe over the next 5 years we will see industry-wide applications for these technologies across almost every sector including online learning and education, consumer and market research as well as sales enablement and coaching, as well as the entertainment & gaming sectors.
From Lightbulb’s perspective, we are excited to bring an off-the-shelf solution for businesses to plug emotion ai into their existing products, services and platforms to understand user emotions and engagement in real-time to truly empower their teams to take insightful, data-driven decisions on a day-to-day basis, while keeping in mind that the fuel that powers emotion ai is emotion and engagement data, across geographies, ethnicities and age groups with adequate representation from all minorities/edge cases to ensure mindful and non-biased AI. Additionally, since Emotion AI is a nascent yet exponentially growing technology with a wide variety of use-cases across multiple industries, from remote learning, sales enablement, user-experience testing, market & consumer research to mental health counselling, it will be exciting to see how businesses will gear themselves to enhance processes, productivity and customer engagement in the years to come with deep tech becoming more mainstream.