Why Voop

Satbir SandhuWhy Voop

Last year around April, the AI hype was in full swing and everyone was talking about how chatGPT is going to take over the world and automate a vast majority of jobs. With time, some realism came into the market and these tools began to be seen as what they are,tools. Revolutionary tools that have the capability to process vast amounts of data and display it in a form that is easily consumed.

The technology also came with its challenges; how does one ensure that the data being used is actually verified? How can all this data be processed efficiently? How can this be used securely in an enterprise setting?

However, by focusing initially on one form of data, at Voop we would be able to solve these challenges by breaking them down into milestones for the business. That initial form of data was immediately apparent for us; voice.

Ever underestimated and hardly ever considered because of its complexity it had historically been considered a low quality data source, far better to have some tick boxes that can nicely populate a database than allowing respondents to say whatever they like, determining the context and relevance and then analysing this. This was long the preserve of human analysis - through interviews, surveys and focus groups. After developing machine learning models that are able to determine emotion, sentiment, age and gender in over 50 different languages, Voop was able to collect a vast and complex data set by combining this with the capabilities of an LLM that can process this in real-time Voop was on to a game changer.

Using this technology, Voop is set to revolutionise the market research and insights industries by putting the voice of consumers back into the conversation. The same tired methods of research, which are used in almost all industries from consumer goods to pharmaceuticals, often fail to give the full picture. Expert interviews and focus groups have their place but are expensive to run and are time consuming - they may be run annually or with even less frequency. However, by enabling the power of voice and enabling people to simply speak to answer questions with the AI taking care of the analysis, Voop is able to get a clearer and more real-time picture of the world.

Furthermore, the age of globalisation is well and truly here but this has only highlighted further the need to actually listen to the needs of those that may speak different languages. There are hundreds of millions of people, who may not have the access to education or technology whose only form of communication is voice - these are the very same people that are driving growth in key markets globally and Voop is the only technology that is being built with these consumers in mind.

In terms of the technology, we are here to provide solutions for enterprise - we are secure, private data is not shared outside the organisations, we are built to scale from running small research activities to being able to monitor vast audiences in real time. To do this effectively, we are currently onboarding industry partners through our Early Partner Program - where enterprises that have research at their core are working with our team of experts to ensure that we are able to develop an AI that has the most sophisticated and relevant analytical capabilities and delivers the results that are most useful.

To go even further, we are bringing in leading experts that are developing frameworks that our enterprise clients will have access to, frameworks that enable us to go from research and analysis into action. For example, by incorporating proprietary frameworks that will help develop nuanced action plans that are relevant to specific clients by taking into account not just their industry but specific goals that they are looking to achieve.

With all this in mind, I am excited to continue sharing regular updates on Voop, our team, projects and partners as we progress in our goal to make voices heard.