Good morning everyone. Today we will talk about why banks are working on blockchain in 2026 . And we'll talk about what works in manufacturing today manufacturing today and what doesn't. I am Rodrigo, she mentioned the CEO of Eden Node. And we'll talk about what will change when financial institutions actually move production workloads to blockchain, and what infrastructure is needed for that.
So, most of the world's money still runs on software written in the 1970s. And I just thought about this analogy this morning. You can imagine that we have streaming music today. And imagine that they play music on record players players to then bring it to us. This is truly absurd, and the transition of institutions to blockchain today is a kind of dial-up to broadband moment for those of you who knew how dial-up internet worked.
This is how many financial transactions happen behind the scenes today. Um, and so in 2026, all these pilot projects that have been going on for the last few years are going into production. And that's when institutional cryptocurrency goes into production. As you all have heard, the New all have heard, the New York Stock Exchange is working on 24/7 tokenized trading. Tokenized assets become collateral.
Pilot projects are being converted into production. Um, independent steps, they all converge this year. And so we asked what was really happening, and it was because the regulatory clock was ticking. We've all heard about the Genus Act, the Clearance Act. Um, these steps this year are really the main step of what's causing this.
So before we get to that, just a quick introduction about myself, I spent eight years developing blockchain infrastructure for production from the first commit line on the infrastructure graph to the launch of edode. Today, we have processed 1.88 trillion requests across our decentralized network and created the data layer on which cryptocurrency operates. So now we are creating the one that institutions need. And why now?
We're going to have the Genius Act coming up soon , Mika, and if you look at all these jurisdictions around the world, they're following suit. They really see the United States as a leader and, um, see this, um, as a need to keep up with the times to bring the world to, um, a similar, um, level of formality. So compliance systems have moved from white papers to laws, and institutions waiting for tools will miss this window. This has created a sense of a kind of fear of missing out ( missing out ( FOMO), I think, in institutions that see institutions that see , ahem, other banks rushing to move it online. And therefore there is a desire to keep up with the times and not lose market share, not lose, um, status, your statue in the world.
So we see that with stablecoins stablecoins , ahem, all over the world, and especially this year and especially this year , January 27th, with the Genius Act, ahem, it has become a mandatory feature for every regulated institution. So, about seven months from today, and we know that banks and institutions have a long procurement cycle, so there is a sense of urgency here in 2026. Personally, I have traveled the world for the past eight months, been to conferences, spoken to hundreds of institutions around the world, and we see this in every jurisdiction. Um, these stablecoins, tokenization platforms, uh, they're all being considered. They're all, uh, developing rapidly because there's this sense of wanting to lay the groundwork for implementing these rules and be a part of what's happening.
And so we're going to talk now about what I've seen, uh, over the last eight months in these conversations, and we're going to talk specifically about data and infrastructure, and what these, uh, institutions are thinking about and paying attention to. And so we find that, uh, banks are making incorrect assumptions about blockchain. So their data stacks were built for a world with final add registers, uh add registers, uh , nightly batch windows, transfers, bank transfers, and none of that really exists here. So traditionally, reorganization or extreme cases are assumed. So, in the case of blockchains, reorganization is when a chain moves forward and then you need to go back and then follow a new chain.
And this is something that happens a lot, uh happens a lot, uh , and this is one of the problems on the data side of blockchains that people don't really think about when they think about moving, uh, their data on- chain and using blockchains as a source of trusted information. Reorganizations are actually a normal phenomenon. Uh normal phenomenon. Uh , the big data warehouses that are commonly used today, like Snowflake, Postgress, BigQuery, there's a perception that they just work "out of the box" for blockchain data, but that's not the case. Uh, off-the-shelf tools don't work with blockchain data.
Er, data accuracy is simply taken for granted with current blockchain solutions, and data is not always accurate and is rarely cryptographically verifiable. So when institutions use the wrong tools, three things go wrong. First, it is data freshness, which means how relevant the data is from the moment it enters the blockchain and is finally processed. Auditability means how you can track and trace it, and verifiability means how you can verify the accuracy of the data, i.e.
the copies of the data you are viewing that come from the underlying chain. So the cost of getting this wrong, bad data puts capital at risk . Outdated provision leads to liquidation disruption, inaccurate balances lead to compliance violations, poor executions versus poor condition. Um, and you really can't have inaccuracies when you're dealing with financial data, and financial actions taken based on and relying on that data, and 247 Markets won't stop for you. I mean, we're moving at an extremely fast pace, and, um, the first movers are increasing their advantage, and we're seeing that happening today.
So, there are five really essential elements to an institutional infrastructure that are necessary when it comes to data. You need subsecond data freshness. It's from block to request in less than a second every time. You need a verified cryptographic line cryptographic line . Um, you need access to multiple chains because now we see assets and transactions happening across many different chains.
The graph itself indexes over 90 chains. So for that you need a single interface. You need a local deployment option because we also see in many jurisdictions many jurisdictions where with regulation, data sovereignty and its provenance is an important aspect. So we see that in the Middle East, in Brazil, in Japan, there are certain jurisdictions that require financial institutions to use native SQL. So this is a query language that has been around for decades, that all data engineers speak.
This is what AI also speaks natively. So this is a requirement. So for institutions listening institutions listening , here are the questions you should ask to evaluate each provider. Number one: can you prove this data? Can you create an audit log, or is this a " " trust me, bro" aspect with the data?
A lot of data these days is purchased, uh, from third-party companies that provide data in bulk, so you're relying on that third party to provide that accurate data, and often they're not there data, and often they're not there . Uh, can the data be hosted locally under control, or both ? Uh, do they meet the standards of Genius and Micah? And these are some red flags to look out for and evaluate vendors for. So the analysis is provided without the source data, uh, that you can't create historical evidence on demand, which is very important, and that's why we at edge node created a product called AMP.
This is a blockchain called AMP. This is a blockchain data platform created for financial institutions migrating to onchain. It is native to SQL. It is capable of local operation. Er, has a verified extraction with full data provenance.
This is a single API for 100 chains. It is linked to an existing data stack. And if you think about a holistic business in a financial institution, on the right you have off-chain data. So you have an existing infrastructure stack built for the traditional financial world, and now we're adding all these things related to onchain: stablecoins, tokenization, you know, real assets, etc. And let's say, from the perspective of a CFO or a CEO, to have a holistic view, ah, a 360-degree view of the business: actually, you lack the infrastructure on the on-chain side, ah.
And this will allow you to combine on-chain/off-chain data to then conduct data analysis. We just heard Farouk in the previous report talking about the lack of data and how these financial institutions don't have access to the data and so they think there's some activity going on, hmm; and so we need this infrastructure to make better decisions, um, because data is fundamental to everything we do. So these are some production metrics, ahem, measured on an institutional scale on AMP; It's extremely fast, um: 747 milliseconds to update data, um, coming off the chain coming off the chain , 100, 100 times better, um, compared to industry standard pipelines. 4350 times faster filling. This is, um, reading historical data.
2.3 times more efficient storage, um, than existing industry standard conveyors. Um industry standard conveyors. Um , you can pay per request forever, um, or license the platform directly. Um, with option A, fee per request, your cost scales linearly based on usage.
Um, you're not responsible for its deployment or economics, and that's predictable for pilot projects, but painful at production scale production scale , as your costs increase with consumption. Or you can license the platform where your existing storage remains. AMP provides an on-chain layer, so you have verified fresh native SQL data. Um, you can run locally or inside your security perimeter. Um security perimeter.
Um , it's a fixed license fee, predictable at predictable at any scale, so you're responsible for the deployment, the data, the economics, and at scale in institutions it makes a big difference, so with AMP compliance it becomes proven, and that's where, um, it's important. So with stablecoins stablecoins , some of the use cases we have are, uh, fallback attestations, compliance , automated reporting for 24/7 trading pipeline markets, and your existing stack stays in place and AMP provides the onchain layer. So, the conclusion is that banks are moving to blockchain. Er, the existing tools weren't built for this, and AMP was actually built for tokenized deposits, while the existing systems were designed for older systems. So you have the proven real-time blockchain analytics and compliance data that AMP provides, and institutions that are moving online now will own the financial infrastructure of the next decade.
And that's what I tell every institutional CTO CTO when I'm on the road and having these meetings. Uh, scalable consumption punishes you for your success, while AMP rewards you. So, as I mentioned, uh, if you buy in bulk, uh, as your business grows, as your needs grow, uh, your costs go up, uh costs go up, uh , when you use a pay-per- request model or a pay-per-data model. And AMP provides, uh, white- glove deployment on-site, uh, and verifiability is an important factor. And so, uh, AMP provides cryptographic proof that the data stored in your cloud environment and your copy of your database cryptographically matches what's on- chain, uh, and is 100 % complete and accurate.
So the future of finance is multi-chain, and the infrastructure choices infrastructure choices made now determine who will scale, uh, the next decade. We see this happening, uh, in 2026. Today, there is a race to innovate, uh, to move existing rails to blockchain rails, and these procurement cycles take time. And so, with this regulatory clarity, uh, the tables are set on who will be the leaders as we race into the next decade, and we're seeing firsthand that, uh, these, uh, choices of who the vendors are, what the infrastructure stacks are, uh, are going to be extremely important to who leads. And as mentioned earlier, a lot of people in financial institutions are not blockchain natives, so they, um, come from the traditional world of finance.
We see a lot of job openings popping up online for digital asset managers. We are looking for people who have come from cryptocurrencies themselves to transition into traditional finance and really need help navigating this new world. So we, um, offer consulting services to help navigate this space because there are so many vendors. Who will you choose? Who is the best, um, what is the best tool for this particular need, um, need?
So, um, I see that there is a big challenge facing financial institutions, so there is pressure. It goes from top to bottom. But this is a truly exciting time. We are truly creating a new way for this $750 trillion global transaction market to operate . Today, when we think about sending, for example, a Zel or Venmo payment, we don't think about what's happening behind the scenes.
That is, everything goes into this black box. And again, we are working on systems that are several decades old, and tomorrow we will click "Send will click "Send ". It will still be invisible to us, but it will run on the rails of the blockchain. So AMP, the data infrastructure that we provide, what others provide, others provide, is kind of the plumbing, the infrastructure that underlies what makes all of this work. Uh, and that's why we're here.
We help build this future. And, uh, it's really exciting to be a part of it. So thank you all for your time today. I hope you enjoy the rest of the conference.
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