Axion AI’s Differentiation Strategy: Standing Out When Everyone Claims AI Capabilities
In 2016, explaining AI was Axion’s biggest challenge. “The first question we always got was very simple, what is AI?” recalls Daniele Grassi in a recent Category Visionaries episode. Today, they face the opposite problem: “The biggest problem from us in terms of competition are not other companies that say, are serious players in Syria, but more the, let’s say the smoke again, AI smoke that is out there because now every company says they are doing some kind of AI.”
Early Differentiation Through Focus
From day one, Axion took a focused approach. “We kept differentiated profile from the beginning, focusing strictly on not being a consultancy company, doing consultancy work even if we develop a proprietary core technology, trying to focus on a specific segment of the market,” Daniele explains.
They zeroed in on investment management, specifically “the addition of alpha, so outperformance to the investment strategies.” This narrow focus allowed them to build deep expertise that generalist AI companies couldn’t match.
Building Technical Credibility
Rather than riding the AI hype, they invested heavily in technical excellence. “You cannot really sell smoke, okay? Because yeah, if you sell small and you ride the hype, then you may have short term success, but then if your reputation gets a hit, you’re done,” Daniele emphasizes.
This commitment to substance over sizzle was particularly crucial in financial services, where “the stakes are high. And in large institutions, sometimes it’s better for the people working in it not to make mistakes rather than go beyond expectations in terms of performance.”
The Power of Focused Expertise
Their specialization created natural differentiation: “When we find competitors or other companies like pitching, maybe the same prospect, they often are not as focused as us, not as technology and value focused as us, and not scientifically sound and with a long track record as us.”
This expertise was built through careful collaboration with early clients. “Even starting small, collaborating a lot with the customers so that they get comfortable with your expertise, with your skills, with your professionalism, and work with the customers to create the first application of the technology in the form of solution, which then becomes a product.”
Strategic Positioning Through Partnerships
Rather than relying solely on marketing claims, Axion built credibility through strategic relationships. They joined ING’s acceleration program in Amsterdam, which led to investment and crucial introductions. They brought on industry heavyweight advisors like the president of Work Wand and former Goldman Sachs co-head of Quant.
These relationships provided what Daniele calls “sort of sponsorship from relevant person in the industry they’re selling to,” helping them stand out in a crowded market.
The Future of Differentiation
Looking ahead, Daniele sees AI becoming table stakes: “In five years, AI would be an essential and core component of any investment strategy… It would not just be a matter of like having AI to get energy, would be a matter of having AI to stay in the game.”
But rather than threatening their position, this mainstreaming of AI validates their focus on deep expertise. As AI becomes standard, the ability to implement it effectively becomes the differentiator. “Now, for some areas, it’s like big edge to being able to implement correctly… but yet also for that area in five years, I mean, that would be the base from where you start. It will just be an edge that someone has.”
For founders building in crowded technology categories, Axion’s approach offers valuable lessons:
- Deep specialization creates natural differentiation
- Technical excellence builds lasting credibility
- Strategic relationships provide third-party validation
- Patient capital enables focus on substance over hype
- Industry expertise becomes more valuable as technology becomes commoditized
While everyone can claim AI capabilities, actually delivering value through AI remains a significant challenge. By focusing on deep expertise in a specific domain, Axion has built differentiation that becomes more valuable as AI becomes ubiquitous.