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October 22, 2026

Different is better than better

There is no one in finance who thinks that our current approach to stopping financial crime is working.

Banks feel they’re spending too much time and money while merely scratching the surface of what their compliance operations could accomplish. Analysts feel that they are not empowered to actually go after the bad guys. Government agents are drowning in prophylactic reports, signal buried in noise. And still, somehow, criminals launder a couple trillion dollars a year through the global financial system.

It’s possible that as recently as a few years ago, someone could have said that we were doing the best we could—at least within the constraints of consumer privacy, imperfect data and limited resources. After all, the regulatory standard is for an effective financial crimes program, not a perfect one.

No one today could come to this conclusion.

For the better part of the last 15 years, I’ve been in conversations with dozens of startups trying to fix this system and always the fixes came down to three holy grail ideas.

  1. We must leverage the tools and data sources this industry already trusts and relies on in a centralized way.
  2. We must use technology and intelligence to achieve perpetual, true understanding of customers and transactions.
  3. We must develop an efficient way to draw from an institution’s historical context to improve its go-forward decisions and processes.

Though the words we used to describe these technologies changed, the ideas never waivered. Like many things in fintech, we understood the challenge before us and we knew our mission, but the technology and insights to achieve that mission weren’t quite there yet.

Until now.

From my first conversation with Eli Wachs at Footprint, I could tell that this was not just one more identity and fraud company. Most importantly, Eli and Alex Grinman could clearly articulate why previous efforts hadn’t achieved their goals.

They had built their company differently than others. As Alex explained, the very first thing they built was a vault to securely store consumer data. Every financial company needs to do two contradictory things: they need to collect significant amounts of personally identifiable information AND they need to strictly limit access to that information.

Alex and Eli saw that there were many companies that had earned the right to help you gather the information, and others that had earned the right to help you store it and control it securely. But no one had earned the right do both.

Moreover, they saw that if a company could earn the right to do both, they would be in a position to achieve all three of the holy grail missions above.

And then AI…

What we realized only later is that agentic workflows are a natural extension—and completion—of this technology cycle.

Yes, Footprint can help you gather the information you need from your customers, but only its synchronous AI agents can figure out what additional questions should be asked as you go through onboarding.

Yes, Footprint helps you complete investigations and clear review backlog faster, but only its AI infra gives your institution a comprehensive memory of the learnings from it. Every bank already knows an enormous amount—that knowledge sits in thousands of closed investigations, in the dispositions analysts reached and in the reasons they reached them. Without purpose-built intelligence however, none of it compounds. Footprint has built an AI-powered institutional layer that remembers every prior decision, and uses that memory to make the next decision better—and the policy behind it better, too.

Architecture is destiny

Everyone wants to be a “first principles” thinker, but the future is uncertain. It requires quite a combination of luck and skill to use those first principles to make smart data architecture and business model choices.

The best companies find that those early choices enable just the right balance between speed and optionality. Other founders lose months on refactoring or years beating their heads against the wall of new customer types when they realize that they never earned the right to expand their TAM.

Footprint’s approach to security and commitment to linking digital footprints with unique human identities has now positioned them to act differently than their peers.

Whereas others are automating the investigation process with AI, Footprint is able to weave investigations into the onboarding process itself. Where others use their AI agents to create queues for customer follow-up, Footprint’s agentic system is able to draw from trusted data sources to close the loop, and commit the judgment call to memory.

This is the difference between automating a task and reimagining a function. Most of the category is asking how to close an alert faster. The better question—the one you would ask if you were designing a bank’s financial crimes operation from scratch today—is what the operation is actually for. Not how quickly we investigate, but how we come to understand a customer continuously, how we stop the money before it moves and how every decision we make leaves the next one smarter.


Different is better than better

The future is here, it’s just unevenly distributed. Many financial institutions aren’t ready to move to a fully automated investigations platform. They prefer the security of and trust of real humans—on their own teams or in business process outsourcing and staffing firms.

Some AI-native startups are embracing this reality by building their own outsourcing functions. Footprint is different. For customers that want humans in the loop, Footprint has already partnered with top financial crimes consultants to give their clients the best of both worlds.

My favorite line of the summer was from a founder who told me that “different is better than better.” He said he wasn’t trying to be a better version of another company, he was trying to organize his approach in a different way.

Security first. Humans in partnership. Architected to eliminate, not to automate.

These are the different choices Footprint has made. That’s the vision of something that will finally make a real difference in financial crime.

We couldn’t be happier to double down with Eli, Alex and the whole Footprint team.

‍

There is no one in finance who thinks that our current approach to stopping financial crime is working.

Banks feel they’re spending too much time and money while merely scratching the surface of what their compliance operations could accomplish. Analysts feel that they are not empowered to actually go after the bad guys. Government agents are drowning in prophylactic reports, signal buried in noise. And still, somehow, criminals launder a couple trillion dollars a year through the global financial system.

It’s possible that as recently as a few years ago, someone could have said that we were doing the best we could—at least within the constraints of consumer privacy, imperfect data and limited resources. After all, the regulatory standard is for an effective financial crimes program, not a perfect one.

No one today could come to this conclusion.

For the better part of the last 15 years, I’ve been in conversations with dozens of startups trying to fix this system and always the fixes came down to three holy grail ideas.

  1. We must leverage the tools and data sources this industry already trusts and relies on in a centralized way.
  2. We must use technology and intelligence to achieve perpetual, true understanding of customers and transactions.
  3. We must develop an efficient way to draw from an institution’s historical context to improve its go-forward decisions and processes.

Though the words we used to describe these technologies changed, the ideas never waivered. Like many things in fintech, we understood the challenge before us and we knew our mission, but the technology and insights to achieve that mission weren’t quite there yet.

Until now.

From my first conversation with Eli Wachs at Footprint, I could tell that this was not just one more identity and fraud company. Most importantly, Eli and Alex Grinman could clearly articulate why previous efforts hadn’t achieved their goals.

They had built their company differently than others. As Alex explained, the very first thing they built was a vault to securely store consumer data. Every financial company needs to do two contradictory things: they need to collect significant amounts of personally identifiable information AND they need to strictly limit access to that information.

Alex and Eli saw that there were many companies that had earned the right to help you gather the information, and others that had earned the right to help you store it and control it securely. But no one had earned the right do both.

Moreover, they saw that if a company could earn the right to do both, they would be in a position to achieve all three of the holy grail missions above.

And then AI…

What we realized only later is that agentic workflows are a natural extension—and completion—of this technology cycle.

Yes, Footprint can help you gather the information you need from your customers, but only its synchronous AI agents can figure out what additional questions should be asked as you go through onboarding.

Yes, Footprint helps you complete investigations and clear review backlog faster, but only its AI infra gives your institution a comprehensive memory of the learnings from it. Every bank already knows an enormous amount—that knowledge sits in thousands of closed investigations, in the dispositions analysts reached and in the reasons they reached them. Without purpose-built intelligence however, none of it compounds. Footprint has built an AI-powered institutional layer that remembers every prior decision, and uses that memory to make the next decision better—and the policy behind it better, too.

Architecture is destiny

Everyone wants to be a “first principles” thinker, but the future is uncertain. It requires quite a combination of luck and skill to use those first principles to make smart data architecture and business model choices.

The best companies find that those early choices enable just the right balance between speed and optionality. Other founders lose months on refactoring or years beating their heads against the wall of new customer types when they realize that they never earned the right to expand their TAM.

Footprint’s approach to security and commitment to linking digital footprints with unique human identities has now positioned them to act differently than their peers.

Whereas others are automating the investigation process with AI, Footprint is able to weave investigations into the onboarding process itself. Where others use their AI agents to create queues for customer follow-up, Footprint’s agentic system is able to draw from trusted data sources to close the loop, and commit the judgment call to memory.

This is the difference between automating a task and reimagining a function. Most of the category is asking how to close an alert faster. The better question—the one you would ask if you were designing a bank’s financial crimes operation from scratch today—is what the operation is actually for. Not how quickly we investigate, but how we come to understand a customer continuously, how we stop the money before it moves and how every decision we make leaves the next one smarter.


Different is better than better

The future is here, it’s just unevenly distributed. Many financial institutions aren’t ready to move to a fully automated investigations platform. They prefer the security of and trust of real humans—on their own teams or in business process outsourcing and staffing firms.

Some AI-native startups are embracing this reality by building their own outsourcing functions. Footprint is different. For customers that want humans in the loop, Footprint has already partnered with top financial crimes consultants to give their clients the best of both worlds.

My favorite line of the summer was from a founder who told me that “different is better than better.” He said he wasn’t trying to be a better version of another company, he was trying to organize his approach in a different way.

Security first. Humans in partnership. Architected to eliminate, not to automate.

These are the different choices Footprint has made. That’s the vision of something that will finally make a real difference in financial crime.

We couldn’t be happier to double down with Eli, Alex and the whole Footprint team.

‍

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01

Settlement Collapse

Value transfer moves from days - corresponding banking, T+1 securities - to seconds. Working capital tied up in float is released.

02

Cost Collapse

Marginal transaction cost approaches zero: fractions of a cent, versus 1-6% on card and corresponding rails.

03

Programmability

Money becomes an object that carries logic - escrow, splits, rebates, compliance - executed by code, not back offices.

Pure infrastructure with no revenue accrual

General-purpose infrastructure without a revenue model we can underwrite.

Speculative asset creation

Speculative tokens or projects where returns are driven primarily by short-duration trading cycles.

Regulatory-arbitrage plays

Companies whose primary edge is operating where they have not yet been regulated carry compliance risk we are not compensated for.

Pure infrastructure with no revenue accrual

Layer-1 chains and general-purpose middleware — outside our circle of competence and typically outside our stage.

Speculative asset creation

NFT platforms, memecoins, prediction markets styled as products — mapping to none of the five functions; structurally uninvestable for us.

Three structural truths cut across all five functions.

(a)

Regulated-first wins

The 2020/21 cycle proved permissionless purity does not survive contact with real financial regulation. GENIUS, MiCA, CLARITY and the UK/Singapore regimes are producing founders who start from “how do we get licensed” and build backwards — precisely the founder profile QED has always preferred.
(b)

Incumbents upgraded, not disintermediated

JPMorgan, Citi, Bank of America and Wells Fargo are jointly building a tokenized-deposit network; Visa launched a stablecoin platform in July 2026; 140+ businesses signed an open stablecoin standard. Banks migrate — and new-generation infrastructure companies own the picks and shovels of that migration.
(c)

Emerging markets feel it first

Every function improves most where the fiat experience is worst: cross-border payments, dollar access, investment product availability, working-capital finance. Those are exactly the geographies where QED has fintech ventures’ deepest footprint. Our geographic distribution is not incidental to the tokenization thesis — it is the thesis.

Emerging markets feel it first

Every function improves most where the fiat experience is worst: cross-border payments, dollar access, investment product availability, working-capital finance. Those are exactly the geographies where QED has fintech venture's deepest footprint. Our geographic distribution is not incidental to the tokenization thesis — it is the thesis.

‍

Regulated-first wins

The 2020/21 cycle proved permissionless purity does not survive contact with real financial regulation. GENIUS, MiCA, CLARITY and the UK/Singapore regimes are producing founders who start from “how do we get licensed” and build backwards — precisely the founder profile QED has always preferred.

‍

Incumbents upgraded, not disintermediated

JPMorgan, Citi, Bank of America and Wells Fargo are jointly building a tokenized-deposit network; Visa launched a stablecoin platform in July 2026; 140+ businesses signed an open stablecoin standard. Banks migrate — and new-generation infrastructure companies own the picks and shovels of that migration.

‍

Identity and compliance

KYC, fraud and transaction monitoring get rebuilt on-chain rather than removed. QED portfolio company Footprint sits here.

Trade & working-capital finance

Finkargo( LatAm import finance) and OatFi(B2B working-capital infrastructure) sit directly on flows whose logical settlement layer is stablecoin.

Collateralized digital-asset lending

Tokenized Treasuries, equities and stablecoin holdings as instant, programmable collateral.

On-chain private credt

Maple, Centrifuge and emerging institutional protocols - credit funds migrating to programmable rails.

Why QED is advanced

Credit is QED's craft: distinguishing lending businesses from fintechs pretending to be one, charge-offs earned from charge-offs deferred. On-chain credit is a straight-line extension, not a stretch.