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Every industry is facing pressure to innovate. The difference is what's at stake if you get it wrong. In asset management, a single misstep can cost you a relationship built over decades.
A NAV error doesn't stay internal, a failed system migration doesn't get a second chance. Reputation here isn't a brand consideration; it's the entire business model. Institutions that have operated for decades intend to operate for many more decades, and they make every technology decision with that in mind.
For founders building in markets like this: heavily regulated, trust-dependent, where a visible failure can be existential - FundGuard's playbook is worth studying closely.
When Lior Yogev co-founded FundGuard, the value proposition was clear: cloud-native infrastructure, real-time data, modern workflows, higher accuracy at meaningfully lower total operating costs.
The problem was equally clear: no large financial institution was going to hand their core operating system to a firm they had never worked with. So FundGuard didn't ask them to.
When a major bank suffered a significant outage with a leading legacy system, it exposed the operational risk embedded in infrastructure many firms had relied on for decades. FundGuard entered as a low-touch contingent NAV solution running alongside existing systems. The ask was narrow, the perceived risk was lower, and it created a path to an initial yes. In a market built on proof over promises, getting inside and showing tangible results mattered more than any pitch.
In most markets, a difficult early customer is a learning experience. In trust-dependent industries with long institutional memories, it's a liability. Early-stage companies don't always get to choose who they work with, but to the extent you can, it matters enormously.
A large institution making a once-in-a-generation system change is already operating at its limit. If they don't have the internal team to manage it, or a clear understanding of what the transition demands from their organization, they will struggle, regardless of how good your product is.
In asset management, every implementation becomes a case study. Choosing customers who are prepared for the journey is often as important as the technology itself.
Migrating a financial institution off a legacy core system is a massive organizational undertaking. Clients have to retrain staff, rewrite procedures, convert years of historical data, and document contingency plans for every possible failure, all while continuing to run their existing operation.
FundGuard built AI-powered data ingestion and workflow tools specifically to compress that process. The biggest barrier in these markets is rarely the doubt that the new solution is better. Institutions know their legacy systems are failing them. The fear is the transition itself, how long it takes, how much it disrupts, and what happens if something goes wrong halfway through. Solving for that will change your first conversation.
As financial institutions move toward agentic operating models, the underlying infrastructure must support them. Legacy platforms, built on overnight batch processing with no real-time data capability, cannot participate in that world.
The institutions making this shift need a partner who has already reached the destination they're heading toward. Agent-to-agent communication only works if both sides are capable of it. FundGuard's clients aren't just buying better infrastructure. They're buying access to a partner operating at the level they're trying to reach.
The pressure to innovate is reaching every corner of the market, including the ones that have resisted it longest. The questions to ask yourself are:
What is your wedge? What version of your value proposition is contained enough to get a yes, and creates the conditions to prove your value in a live environment?
How are you reducing the cost of transition? In legacy markets, the obstacle is rarely the destination. It's the perceived cost, duration, and risk of getting there. Solving for that changes the commercial conversation.
Are your first clients the right ones? In trust-dependent industries, early implementations don't just affect that client. They shape how every subsequent conversation goes. Be as rigorous about who you work with first as you are about what you build.
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