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Daniel
Everyone, welcome back to Founder Story. Today we have Ricardo Amper, the CEO and founder of Incode. And this is going to be a very interesting topic today because it's something that we've been discussing in other episodes, but we never found a company who's really solving this issue. So that's why I am stoked to have you, Ricardo. But you are reinventing identity verification power trust worldwide, which is what we need. So before we dive into all those things, because this is going to be so critical, I'd like to understand how did you even get started in this field in this industry and why are you solving this problem?
Ricardo Amper
Well, thank you Daniel. Thank you for inviting me here. It's a long story. I learned entrepreneurship from my dad and then when I was in College back in 99, it's a long time ago, I wanted Internet to be more fun. That was like pre Facebook and I started a company called the Bubble and it was the same concept as Facebook years before that. But I learned a hard lesson which is that timing is very important because I started late 99 incorporated April 2000 when was.com crashed, raised a little bit of money and then I couldn't raise more money and so my first experience was actually that failure that taught me to always be Humble and, and how, you know, there's a matter of, of timing and chance in, in everything that you do. So you, you need to be able to be incredibly resilient. Then after that, I, I started a beverage company that I sold to, to a CPG company, the biggest bread company in the world. And then a turnaround of a personal story where my dad passed away. I, I had to quit business school, go and do a turnaround of his company that I eventually sold to a big public chemical multinational. And then years, you know, after, I was able to pursue my passion, which was in technology. And we started encode, but we started with a very different thing. We, we were in. Back in 2015, we were sharing photos with facial recognition. So we had an app that you would take pictures with your friends and they would automatically be shared, or photos that you never shared were shared based on facial recognition, which I think was a terrible idea. But the, the one thing that was a very good idea was that we built an amazing team of engineers. We were solving things in a way that nobody was was doing that meaning doing AI on the phone before it was a thing. And then we got a little bit lucky. Apple kind of made facial recognition okay. Then we pivoted into doing something more interesting, which is how do you verify someone's identity? By scanning their document and doing biometrics. And eventually it became big deal when Covid came and banks, governments, doctors needed to verify people digitally. You needed to find a way that was secure. And our whole industry took off. And so we, we were at the, at the right moment and the right time.
Daniel
So let's go back to these exits. As a founder, as someone who, you know, stepped in and became, you know, the C suite. What do you think it takes for a company to get to the viability of when another company would want to acquire it?
Ricardo Amper
Well, I think it has to do with the original problem you're solving. It has to be a problem that's interesting enough and a solution that's significantly better. And honestly, I think founders have an inherent advantage and potentially a disadvantage, which is the lack of knowledge. So when you go to an industry and you understand and you see something that should exist but doesn't exist, it's much easier to see it if you don't have that context. And I think in my life, both, you know, when I did the social network, the beverage company, or encode, it was exactly the same. For example, in Incode, people thought that it was impossible for AI to be better at understanding, understanding whether a document is doctored, whether you're you, whether you're actually live streaming. And it's not a deep fake because you know, everybody thought that having a human reviewing it is better. And to me it didn't make sense. And we just went and, and, and, and used our skills that we're doing, you know, the photo sharing app and we ended up solving it with the beverage company. I thought powered beverages back in Latin America were not very good and all of a sudden you, you drank something that you couldn't even figure out that was a powder beverage. And, and so I think that's, that's a benefit of, of having zero context.
Daniel
I'm curious about the timing. So we've heard this from billionaires, from super successful people like yourself, that timing could be the most important thing to the success of their organization. So I'm curious when the, the timing of encode, I know you had a certain problem you're solving and now it's transformed into, into what it is today. Did the explosion of ChatGPT and all, you know, image creation apps and obviously deepfake of where it's at right now, did all of these things the last few years really exponentially create momentum for encode?
Ricardo Amper
Absolutely. I think as I learned as it was impossible to succeed back when the dot com bursted. Right. Even if we had a good idea, you know, timing is a defining feature, but you don't control it. It's luck or blessing. And what you control is two things. First thing is you need to be solving a problem that's important and that hasn't been solved. And the second thing is you have to have an amazing team. And, and so those two things I think you control and if you're persevering enough, maybe you're lucky to be in those things. And so we had I think three things that change our company. Apple doing facial recognition, everybody feeling comfortable with that number two, Covid and digitalizing. And the three is the Geni revolution that is making our industry much more important. And we don't control it. But at least what you control is, is the two things that I mentioned.
Daniel
I've heard a scenario where a C suite got a phone call and then transferred a large sum of money to what they thought was another C suite, but it turns out it was deep fake. And I, you know, that's just obviously one of, I'm sure many sad opportunities that are coming up because of AI and people take advantage of that. So how important is it what you're doing at encode?
Ricardo Amper
I mean that's a, that's a real story. And the interesting thing is it happened a year and a half ago to us where our treasurer was almost tricked to sending money to fund the escrow account for an M and A. And it was very credible. And then we started seeing a lot of our customers being attacked with deep fakes. You saw in the news how MGM and Caesars were shut down for two weeks because someone successfully through a deep fake pretended to be a system admin and they took control of the whole Vegas for two weeks. And so certainly it's a big problem. And, and yesterday in cnbc there was news about how many interviews. I think they quoted 40, about 40% of interviews are fraudulent. Now that you're, you're, you're interviewing someone who is not who you think they are, it's maybe even chatgpt in the back. And so you can imagine this is a problem that is worth tackling.
Daniel
So let's, let's talk more. I know ENCODE just was called a top company in your field, top visionary, which is incredible award that you were just given. Very few companies receive this recognition. So talk to me about what it's like for you as the founder and then your amazing team as you get this recognition because you're solving such a huge problem and you're one of the few.
Ricardo Amper
I mean it's wonderful, it's great to get that recognition. But I think the best recognition we get is the trust of our customers. Some of our customers are like Citibank, Chime, Amazon. We're one of the few customers who's being used in the national election in the US and we have many other thousands of customers like that. And well, we feel it's a huge sense of responsibility because if we do our job well, which is verifying users identity, we help lower fraud but most importantly we help them grow. We help them acquire customers that are, that are real and they're going to do good for their business. And the second thing is I think there's a more of a societal effect. If you think about everything that you do, whether you go out into a bus, open a bank account, going to a doctor, there's an act of identity underlying. And so if those acts are trustworthy, the rest is trustworthy. There's an incredible example in India 15 years ago it was one of the lowest trusting societies in the world. Only 8% of Indians trusted each other to transact. And then they did something great which is they said we'll never go into paper IDs, we'll just do a digital biometric system. And in 15 years, it's now the highest trusting society in the world. More than Switzerland and Sweden, certainly more than the US and, and it change is changing people's lives because now, you know, interest rates go down, you trust voting more, which is something that should happen around the world. You can go to stadiums and feel safer. So it is a big deal. And so we think both the responsibility to our customers, but also the responsibility to, to our mission, which what we, we think is the most important.
Daniel
I mean, trust. Without trust, the world will fall apart. Right? Like you said, it's, it's a global place. We do business with people not only from our neighboring cities, but all the way around the world. And if we can't trust who those people are, we can't operate. I mean, this is to me, I might be sometimes pessimistic with AI, although I am, you know, I love AI and I use it all the time, but I am sometimes fearful if we don't solve these problems in the future. So how do you see, you know, how do you see the future of this going in the next few years?
Ricardo Amper
AI is just going to make everything exponential, the good and the bad. And so the question, as you're saying, is what percentage of interactions are trustful?
Daniel
Right?
Ricardo Amper
And so as much as it's going to allow everybody to increase their productivity, grow their businesses, all of that, which is great, it's also going to make frusters more prevalent. You're going to have agentic AI doing things on your behalf, but it's also going to have n. It's going to exponentially multiply what frustrates do. And the problem is, how are you going to authenticate those agents? How are you going to make sure that that's an agent that Daniel commissioned? I would say first, is it an agent or is it Daniel himself? Then if you commission that, and the question is at the very beginning of saying, yes, I'm Daniel to that agent, the question is, who determined your identity, what type of instrument you did? And unfortunately, we're having a 2025 technology relying on a piece of paper that was invented 3,000 years ago by Egyptians. So the whole system actually as sophisticated as it, as it, as it looks like it is based on a very old technology that hasn't modernized much. And so our job, our mission is to take that kind of very weak link and take it to the 2025.
Daniel
I would imagine that you'd be inundated with companies that need your help, people that need Your help. I mean just thinking about what you said, where agentic AI, we're going to have these AI agents doing like everything, whether it's business, it's life, could be, you know, the next travel, vacation, I mean it's setting everything up that we're going to do. This is going to be a very interesting time. When you talk to companies though, around what you're doing, what's, what is the pulse of how they feel about it? What are they saying?
Ricardo Amper
Look, the companies that, that suffer the most right now are companies that you would imagine from financial services, governments, trying to make voting, you know, better, all the way to regulated industries like gambling, adult entertainment, social media. Those are the ones that right now they have an existential threat on their business to make sure that they can guarantee that interactions are genuine. But what's interesting is that for the first time companies that were not in that category, you know, from telcos to energy companies, are actually realizing that it only takes a fake person, it takes a fake interaction to portray as a customer or as an employee to get access to their systems. And it can be a massively, it can be a massive event that can destroy the company with reputation. It is actually mind blowing that that is a reality. And so what we're seeing is everybody's now asking how can I make sure that my interactions with the world, agentic and human, are genoine?
Daniel
I mean it, like you said, it only takes one thing now to go viral on social media to, you know, destroy the stock of a company in one hour. Like it, it, you know, things could just spread like wildfire and it takes only one thing. You know, perception is very hard to create a good perception in my opinion. But it's very easy to get a bad perception from people nowadays from what it seems. So if a company, when they start working with you, I could, the more we talk, the more I understand how big this problem is, I could see why you're solving it.
Ricardo Amper
Yeah.
Daniel
So when a company starts to work with you, can you walk me through the process of that?
Ricardo Amper
Yeah. So when we talk to a company, we tell them that there's three things that we, that we excel at first. One is We've been doing AI for 10 years. There's a lot of companies that put AI into their business right nowadays, but we've been doing that for 10 years kind of with a conviction that there's certain problems in the world that AI is going to solve them a lot better than what humans can. The second thing is the most interesting part which is that there's going to be so much fraud in the next three years that I think, you know, the world is going to come together and collaborate because it doesn't matter how good your AI is, you have to talk to each other. Governments and private companies have massive amounts of data. You have DMVs who give you a driver's license. We have the pictures, your information and you have all these private companies that if only companies talk to each other and would say, hey, look Daniel, with these type of device, IP is actually genuine. If just companies talked, this problem would be solved. The second thing we're doing besides doing the AI is we're building a private network, starting with the dnvs and then all the way to the companies and build this massive interconnected network that will eventually make very difficult for fraudsters to defraud. But in order to get to the level of critical mass needed, unfortunately it's going to get bad. So the second thing we're doing is all these network and companies generally are very excited about that because it's not only solving their business case.
Daniel
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Ricardo Amper
The business case, they're actually helping others be safer. And unfortunately the, the people who are more affected are the people who have the least. Because if all of a sudden you have a newer entrance, a young person or an immigrant for example, who doesn't have a lot of information on the credit bureaus and all of a sudden all these fraud starts, they are the ones that are going to not have access to credits or they're going to have high interest rates. And so in my view these two things are critical. And the third thing is you have to have a partner that is innovative and goes with you hand on hand. So, so, so I, I think companies are very excited about participating in this, in this network.
Daniel
To me it sounds like what you're saying is we are going into the era of collaboration. We came out of the era of competition and now we're going into the era of collaboration, which I'm, I'm very excited. I'm, I went from being pessimistic to being very optimistic. So thank you so much. I mean I'm, I'm super appreciative of what you're Sharing outside of what you're working on and outside of what you've been talking about, looking at the other problems that AI is solving, whether it's in health or wealth or a variety of things, what are you excited about for the future in terms of what AI could solve?
Ricardo Amper
I think one of the biggest impact of AI is on voting and democracy. We're seeing now a very interesting time in the world and you're seeing a lot of vote, a lot of voices putting opinions about tariffs. And that's why you have to understand how important it is for people to participate in elections, be able to have trusted methods. And so the thing that I am the most excited is not only that voting is going to be digital, I think, in 10 years, but all around the world. No more physical, no more paper. But not only that, it's going to get to a granular level where if you very quickly want to understand, hey, what about this topic? Do you want to vote for this specific topic that is a game changer. You're going to be able to do it at a very fast speed. You're going to be able to be cheaper than ever. And so I think AI is going to have a massive impact into how we make decisions, whether it's at the school board, all the way to how you choose a precedent. And it's going to change the U.S. certainly. But think about other economies and political systems around the world, how much impact that can have. And we have this example where we were hired by the state of Nevada to re verify votes that were contested and we were afraid. My board was against all of this. He said, Trump is going to tweet against encode and it's going to become dominion too. Right. But they knew what's important. We did it anyways. And both secretaries of state, Republican, Democrat, were incredibly happy with the fact that there was a much better technology than paper that would actually instill trust and trust in the process of Nevada and Nevada determined two elections ago the composition of the House. And so that blows my mind that you know, a company, we're, we're not unicorn, but we're, we're pretty small on the big, on the big new state of things and that we could have an impact.
Daniel
Well, I mean, the era of collaboration, like you said, whether, you know, it's a bipartisan thing, it's. Yeah, I mean, I get to, I, you know, I have the honor of being able to travel and like you said, I get to see how other countries are, are just getting into this digital state. And you know, 10 years, we're going to be exponentially digital everywhere, which is going to open up incredible opportunities like you had just mentioned, which I'm very excited about. So I'm very appreciative that you're here today because you gave me some very good insights. I've been wondering how people are going to solve this problem. I stay up a nice sometimes thinking about this just because, you know, this type of fraud happened to me unfortunately. And I, you know, I think of like, you know, my parents who are in their, you know, 70s, 80s, like our grandparents who are 90s, up to 100, like how bad is it going to be for them? And they don't even understand a lot of the technology. So this is going to be incredibly needed for, you know, all generations. But Ricardo, if people want to get in touch with you, I'm sure there's tons of companies that need to or people just want to find out more information about you personally. How can they do so?
Ricardo Amper
They could send me an email amperecode.com and I'm happy to talk to them or add Encode Technologies in Twitter.
Daniel
Well, Ricardo Incode, thank you so much for joining us today on Founder Story.
Ricardo Amper
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Founder's Story Episode 200: Ricardo Amper on Combating AI-Driven Scams
In Episode 200 of "Founder's Story" by IBH Media, host Daniel Katz sits down with Ricardo Amper, CEO and founder of Incode, to discuss the escalating threat of AI-driven scams and the innovative solutions his company is deploying to combat them. This comprehensive conversation delves into Ricardo's entrepreneurial journey, the critical role of identity verification in today's digital age, and the profound impact AI has on both business and society.
The episode opens with Daniel Katz expressing enthusiasm about having Ricardo Amper on the show. Recognized as a visionary leader in identity verification, Ricardo brings a wealth of experience and a unique perspective on tackling AI-related fraud.
Notable Quote:
"Founder’s Story is not just a show—it’s an immersive journey into the lives of the world’s most inspiring business figures." (01:29)
Ricardo shares his early forays into entrepreneurship, influenced by his father. He recounts his initial venture, "the Bubble," an early social network akin to Facebook, launched in 1999. Despite the project's innovative nature, Ricardo emphasizes the harsh lessons learned from its failure due to poor timing and market readiness.
Notable Quote:
"Timing is a defining feature, but you don’t control it. It’s luck or blessing." (02:09)
After his first setback, Ricardo ventured into the beverage industry, successfully selling his company to a major consumer packaged goods (CPG) firm. A personal tragedy led him to take over his father's business, eventually selling it to a large multinational chemical company. These experiences fostered resilience and adaptability, traits that would prove invaluable in his subsequent endeavors.
Transitioning back to his passion for technology, Ricardo founded Incode in 2015. Initially, the company focused on a photo-sharing app utilizing facial recognition—a precursor to technologies like Facebook's facial features. However, recognizing the potential and pitfalls of facial recognition, Ricardo pivoted Incode towards identity verification through document scanning and biometrics.
Notable Quote:
"We pivoted into doing something more interesting, which is how do you verify someone's identity by scanning their document and doing biometrics." (02:09)
The onset of the COVID-19 pandemic accelerated the need for secure digital identity solutions, propelling Incode into a position of industry prominence.
Daniel probes into what makes a company acquisition-worthy. Ricardo believes it hinges on solving significant, unsolved problems with superior solutions. He highlights that founders often possess a unique advantage: the ability to identify gaps in the market without preconceived notions.
Notable Quote:
"Founders have an inherent advantage... if you don’t have that context, it’s much easier to see it." (05:10)
His experiences across various industries underscore the importance of innovation and understanding market needs, which have been instrumental in Incode's growth and acquisition appeal.
A significant portion of the discussion centers on the rise of AI-driven scams. Ricardo recounts incidents where deepfakes have been used to manipulate financial transactions and corporate operations, underscoring the urgent need for robust identity verification.
Notable Quote:
"Our treasurer was almost tricked to sending money to fund the escrow account for an M and A. And it was very credible." (08:37)
Incode addresses these challenges by leveraging advanced AI to authenticate identities, making it exponentially harder for fraudsters to deceive systems and individuals.
Incode's efforts have not gone unnoticed. Recently named a top visionary company in its field, Ricardo underscores that true recognition comes from customer trust. Serving clients like Citibank, Chime, and even national election bodies, Incode plays a pivotal role in reducing fraud and fostering genuine interactions.
Notable Quote:
"The best recognition we get is the trust of our customers." (10:01)
Ricardo also highlights the broader societal impact, drawing parallels to India's digital biometric system, which transformed trust levels and economic stability.
Daniel and Ricardo explore the shifting paradigm from competitive to collaborative approaches in combating fraud. Ricardo envisions a networked ecosystem where companies and governmental bodies share data to enhance security and trustworthiness.
Notable Quote:
"We are going into the era of collaboration... instead of competition." (21:13)
Incode is building a private network that integrates data from various sources, making fraudulent activities exceedingly difficult and fostering a safer digital environment.
Looking ahead, Ricardo is optimistic about AI's potential to revolutionize democratic processes. He foresees a future where voting is entirely digital, secure, and highly granular, enabling more nuanced and efficient decision-making.
Notable Quote:
"Voting is going to be digital... it’s going to get to a granular level where you can vote on specific topics swiftly." (22:35)
An example of Incode's impact is their collaboration with the state of Nevada to verify contested votes, demonstrating the practical applications of their technology in reinforcing democratic integrity.
The episode concludes with Ricardo emphasizing the critical importance of trust in the digital age. As AI continues to evolve, so does the sophistication of scams, making solutions like those offered by Incode indispensable.
Notable Quote:
"Without trust, the world will fall apart." (11:47)
Ricardo's vision is clear: by enhancing identity verification and fostering collaboration, we can mitigate the risks posed by AI-driven fraud and build a more secure, trustworthy global society.
Resilience and Adaptability: Ricardo's entrepreneurial journey underscores the importance of learning from failures and pivoting strategies to meet evolving market needs.
AI-Driven Solutions: Incode leverages advanced AI to address complex identity verification challenges, significantly reducing the potential for fraud.
Trust as Foundation: Building and maintaining trust with customers and society at large is paramount for sustainable business growth and societal well-being.
Collaborative Ecosystems: The future of combating fraud lies in collaborative networks that integrate data and resources across industries and governments.
Democratic integrity: AI has the potential to transform democratic processes, making voting more secure, efficient, and accessible.
For those interested in learning more about Ricardo Amper and Incode, Ricardo can be reached via email at ampere@incode.com or through Incode's Twitter handle.