Becker Private Equity & Business Podcast
Real AI Solutions with Dr. Darryl Williams of Partsol 1-22-25
Wed, 22 Jan 2025
In this episode, Scott Becker sits down with Dr. Darryl Williams, CEO and Founder of Partsol (Partnership Solutions International). Dr. Williams shares insights on the challenges of navigating AI hype, the innovative development of their Absolute Truth Algorithms, and much more.
Chapter 1: What are the key themes of the podcast?
This is Scott Becker with the Becker Private Equity in Business podcast. We try each day to bring you great guests from the business world, from the private equity world and more. We try and make sure that you're learning something, we're learning something. You're with us today on the Becker Private Equity in Business podcast.
Podcast this week is ranked number two out of all Apple Business News podcasts. So we're thrilled to see our listeners engaging. Thank you very, very much. We're thrilled today to be with Dr. Daryl Williams, who's the CEO and founder of Partnership Solutions, known as Partcel. They're one of the leaders in the AI business before there was even an AI business.
We're going to talk to Daryl today about what pain points they're trying to solve for customers, what niches they work in, what they're most excited about this year, and a lot more. Dr. Williams. Can you take a moment and introduce yourself and tell the audience a little bit about the development of partnership solutions known as PartSol?
Chapter 2: How did Partsol evolve in the AI landscape?
Absolutely. Thank you, Scott. As previously stated, I'm the founder and CEO and even the chief scientist of PartSol. It was a company that I created back in 2007. It was specifically looking at supply chain, at supply chain assurance. with the idea that everything in the world is indelibly linked to a supply chain.
We could talk about things like moving a widget from point A to point B, but in reality, everything is. A virus has a supply chain, an attack, a cyber attack has a supply chain, an individual has a supply chain. And once you're able to map those with a certain level of fidelity, then you're able to actually conduct predictive analytics. And so
HeartSoul was specifically created to nurture and to grow these supply chain algorithms with the desire of helping businesses that are engaged in existential issues. Now, when I created this back in 2007, I had no way to even begin to understand that there would be something called COVID. And so when COVID hit,
and all the global supply chains unraveled at the same time, I was confronted with the opportunity to move from a bespoke boutique company to a multinational global company by applying true artificial intelligence to these algorithms. And we did, and the rest is history.
Thank you. And talk a little bit about... The specific pain points, the problems that you're trying to solve for customers, and then we'll talk about the categories of those customers. Who is the core type of customer? But talk for a second about the specific pain point you're trying to solve for customers and why, quite frankly, you're so good at it. Can you take a moment to tell us that?
Sure. So originally, the pain point was fidelity and depth. Most individuals only know their supply chains, maybe two levels. They might know who their sub is, but they really don't know who their sub sub is. And so when it comes to supply chain, cost of units sold, efficiencies, only knowing two levels limits a company.
And so that was the original pain point that these algorithms were designed to handle. That is the depth and the breadth of a supply chain with impeccable accuracy. Once COVID hit and we then applied artificial intelligence to these algorithms, we realized that we had a third dynamic, and that is speed. And so our pain points that we are addressing right now is accuracy and speed.
Accuracy because that's an existential problem. If you are trying to reconstruct a supply chain or if you're in a legal firm and you're trying to make a deposition and you are 90% accurate, your reputation as a law firm is going to collapse and that becomes existential.
Speed, because if you're turning away customers because you cannot address them fast enough, then you're watching revenue run out the window. In the case of banking, which we'll talk about in a minute if we get to that area of particular niches, know your customer. The typical multinational bank takes about five weeks to conduct a know your customer on a high net worth individual.
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Chapter 3: What specific pain points does Partsol address?
It could collapse a whole industry. So accuracy and speed, legal. We have found situations with customers coming to us that are in the legal field where they have used generative AI to help prepare legal briefs. And as the judge is reading through the brief, he's finding that the generative AI is actually creating case law. That is not a way to endear yourself to that particular judge.
And the last thing is health care. If you're going to a remote type of surgery and you're about to go under the knife and they come up to you and say, we're going to be doing remote surgery and we have about an 80% accuracy rate between the doctor and the robot that's doing it, nobody in existence would go under the knife.
So those are the four verticals that we are focusing all of our attention on at this point is the government, banking, legal, and healthcare.
Thank you. And give us an example of where your work calls you as a customer and a use case in this that that's working for you, working for them. Give us an example of a use case or two, if that's OK.
Sure. So for the so for the legal. The whole idea of legal is speed of discovery. In the case of a high-dollar patent infringement case, which I can't go into the actual customer, that particular Fortune 50 company was under a lawsuit. Well, now you're talking about rooms full of data that
where the very nature or the very success of that case could be predicated on where is the comma in a sentence. Right now, the present way of doing it is that legal firm has to go out and hire scores of associates to manually read through all of that information. They can't turn it over to generative AI because of a 90% error at best.
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Chapter 4: What are the critical niches for accuracy and speed?
With our system, we were able to ingest all of that data and come up with that particular situation. And it resulted in one of the largest pre-verdict settlements in a particular state's history. And what we were able to do in a matter of a day or two, they would still be reading through all of that evidence. In the case of banking, it's the know your customer.
It is an individual, two situations, both are Fortune 50 banks. One bank turned away an extremely high net worth individual because their credit came back bad. We were asked to take a look at it. We found that that lady's credit was actually very good. Problem with every other tool is that it took five people with her name, put them all together into one person and said that she was bad.
Another instance was an individual that everyone said was good. And we found that it was an individual under sanctions, under criminal indictment that was let go because they were able to hide themselves in global flows of data. So accuracy and speed are critical.
Fascinating. And all of us have been through with the banks, the know your customer type of rule, or even with these new FinTech payment solutions. And it is amazing.
how slow and difficult some of them to work through versus others it's really truly amazing we stopped using one vendor so it's hard to get through with and and went back to using on one particular business paypal versus wave just because we had a hard time getting through the know your customer types of of rules and really simply amazing than this day and age is so challenging
Take a moment on how could customers work with you? How do they reach Parcel? You know, where can they find you and so forth, Dr. Williams?
Probably the best way at this point. Our software, our production software will be released on the 31st of March. Now, we're already being used by scores of Fortune 50, Fortune 100 companies. We already are standing up an office in Dublin, Ireland with customers also in Portugal and the Bahamas and Europe. UAE and others. So we are releasing our beta.
The best way right now is to go through our website. There is a contact sheet there. Just go ahead and put your stuff there and you will immediately be connected with one of our sales or technicians that will help to start the process moving.
Thank you very, very much. And talk about the release you've got coming up in March and also about what you're most excited about this year, Dr. Williams.
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Chapter 6: What are the implications of accuracy in healthcare?
Thank you for listening to the Becker Private Equity Business Podcast again. Dr. Daryl Williams, scientist, CEO, founder at Parcel Partnership Solutions, known as Parcel. Just a magnificent leader with magnificent AI solutions. Thank you so much.
Thank you, Scott.