Sramana Mitra: What percentage of your leads come from the marketplaces? Is Zendesk sending you a lot of leads?
Vasco Pedro: We operate on account-based marketing and selling. We have identified several accounts that fit our ICP and then we use AVM strategies for go-to-market motion. One of the key aspects is partnerships. We work closely with BPOs like Concentrix and Teleperformance and others. They end up being a lot of the lead generators for us.
>>>Sramana Mitra: To do this, how much integration do you need with the system that you are working with?
Vasco Pedro: We have built native integration with different CRMs. If you go to the Zendesk marketplace, you will find the Unbabel app there. The integration is done with the CRM itself, so if you download and install our app, that’s it. What you need to do is create an account, get a subscription, and then we create an account for you.
>>>This is an awesome conversation on the cutting edge of language translation.
Note, a large chunk of Unbabel’s customer base comes from the Zendesk PaaS ecosystem.
On the other hand, Unbabel itself would, most likely, create its own PaaS ecosystem to address a broader range of use cases.
Sramana Mitra: Let’s start by introducing our audience to yourself and Unbabel.
>>>Sramana Mitra: Tell me about how you managed to build this company from Puerto Rico. Is there a university where AI talents are easily available in Puerto Rico?
Carlos Melendez: Puerto Rico has the biggest engineering school in the Caribbean. I went to that school myself. The majority and, at some point, 100% of the talents that were graduating from that school were getting recruited to the US to work. So, a local talent pool is available.
>>>Sramana Mitra: How do you classify the sex of the mosquito with computer vision.
Carlos Melendez: It’s not that different from classifying a truck from a car. They are different and have their particularities. The males have, what we see as, feathers on their bodies that the females don’t have. There are other differentiators.
After building the label data set of mosquitoes, we were able to successfully train the algorithm.
>>>Wovenware is a Puerto Rico-based AI solutions company working in Computer Vision and Insight Management.
Sramana Mitra: Let’s start by having you introduce yourself as well as Wovenware.
>>>Sramana Mitra: Can you give me one metric that gives me an idea of the number of banks that are using your solution?
Venkatesh Bala: If I look at banks and financial services companies, it’s a growing number. I’ll give you one example in the context of what is happening with PPP or the Paycheck Protection Program. The first PPP was launched in April and it went on until August. Now, the second round has begun.
>>>Sramana Mitra: Is your primary source of data the bank accounts?
Venkatesh Bala: To say that means that we only rely on one source of information. Having cash flow data at a transaction level is the most important, but we have other sources of information.
Sramana Mitra: Like? Can you give me an example?
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