Who We Are
The best solutions often come from those who've lived the problem firsthand.
Deck's founding team brings together an unusual combination of backgrounds: former investment bankers and private equity professionals, senior national security personnel, cryptographers, and deep infrastructure engineers. We've spent our careers tackling complex problems that sit at the intersection of data security, business automation, and operational scale.
This diversity isn't accidental. Building AI tools for investment workflows requires understanding both the nuanced requirements of deal evaluation and the technical infrastructure needed to handle sensitive financial data responsibly. Our previous work, from structuring transactions and all-nighters to building secure systems for critical national infrastructure, taught us that the most effective automation solutions enhance human judgment rather than replace it.
When we started conversations with early customers, a consistent theme emerged: existing tools either oversimplified the complexity of investment analysis or created new operational burdens that offset their benefits. Teams needed something that understood the real workflow challenges, from synthesizing management presentations into investment committee memos to maintaining consistency across IC deck templates while preserving analytical rigor.
Our backgrounds gave us appreciation for what it takes to build systems that investment professionals can actually rely on. Security protocols that protect sensitive deal information. AI models trained to understand the context and nuance that matter in private equity due diligence. Infrastructure that scales with deal flow without compromising on accuracy or speed.
The most interesting technical challenges often live at the boundaries between disciplines. How do you automate investment memo creation while preserving the analytical narrative that makes each deal unique? How do you build AI for private equity diligence that enhances rather than replaces professional judgment? How do you ensure that tools designed to save time don't introduce new risks or blind spots?
These questions require both deep technical expertise and genuine understanding of how investment teams actually work. Our team's combined experience in high-stakes environments, where both precision and speed matter, shapes how we approach these challenges.
We're always interested in discussions about data responsible AI development in financial contexts. The intersection of data security, model transparency, and workflow automation raises fascinating questions that the industry is still working through collectively.
If you're thinking about how AI tools can enhance your investment process, or if you have perspectives on building technology that investment professionals can genuinely trust, we'd love to continue the conversation.
Interested in learning more about how HelloDeck approaches investment workflow automation? Get in touch to discuss your team's specific challenges.
