Thought Leaders in Artificial Intelligence: Danny Tomsett, CEO of UneeQ (Part 4)

Sramana Mitra: How many developer partners do you have currently?

Danny Tomsett: We have a core group of partners that we work with across the globe. Some of them are large. Today, we work with IBM, Infosys, IPSoft, and Amazon. We’ve got a great core group of technology partners and consultants. That’s an exciting part of our business.

Then we’ve got over 50 NLP product companies and partners that are more focused on specific product problems. One of my favorites is Mentemia. It’s a startup that’s focusing on mental health and helping people get a little bit better every day. We work with them to build digital human technology into their application. That’s very exciting for us.

We absolutely believe that there’s this new market that’s going to explode around product companies and how they will leverage this technology to really narrow in on creating great value for the users and the problem they’re trying to solve.

Sramana Mitra: If you look at the different areas where you have partnerships where people are building on top of your technology, where are the gaps? You’ve got different partners covering different areas. Where are you looking for new developers to develop applications?

Danny Tomsett: Particularly in the US, there are some commercial challenges, but the technology opportunity is massive for healthcare and health literacy. Some of the large organizations and innovation teams are trying to build some of those capabilities themselves.

It’s always hard to innovate to a level suitable for a particular startup. The way that I see opportunities in healthcare, mental health therapy and the way the processes wrap around that continues to be a great opportunity. A number of our large-scale providers are trying to wrestle with the ever increasing volumes of demand on their staff today. That is a huge challenge.

We now live in a post-COVID work where we’ve seen our frontline staff run themselves in very stressful times. We have to think about how we can better support if there’s another round of COVID. There’re massive opportunities where we’ve got to manage social distancing.

How do we create better support for frontline workers? How do we create better support for people needing information and help that takes that load away from them?

For those building NLP, I think it’s a low hanging fruit. I also do believe that financial services will continue to be disrupted. There are just a lot of poor legacy ways of doing things. I see a lot of challenges where even with them trying to build their own NLP, they try to shove it into an existing process.

Other than that, we’re seeing new kinds of companies form on the back of using our technology as well. You’re familiar with SurveyMonkey. If there’s a startup that comes through who wants to compete with them but everything they’re doing is more through conversation and digital humans. It’s a really interesting approach on how you capture more information and make it more engaging.

This segment is part 4 in the series : Thought Leaders in Artificial Intelligence: Danny Tomsett, CEO of UneeQ
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