Perspectives from the QuantSpark team
Opinions and working notes from the people who do the work, written in their own name. For our written reports, see Reports.
How AI Coding Assistants are Transforming Software Development: Power, Potential, and Best Practices
AI coding assistants like GitHub Copilot are reshaping software development, enabling faster prototyping and creative problem-solving. While powerful, thoughtful deployment with clear best practices…
The Brunelleschi Lesson: Why Operational AI Demands Both Human Ingenuity and Structural Rigour
Successfully implementing enterprise AI requires a dual focus: engaged human ingenuity and robust data infrastructure. Neglecting either side leads to underperformance, a lesson discernible from historical breakthroughs in art and science.
QuantSpark: Turning AI Ambition into Operational Reality for Private Equity
QuantSpark partners with private equity firms and their portfolio companies to deliver end-to-end AI transformation, combining strategy, AI, and software engineering to build high-ROI applications
From McKinsey deck to working software: where strategy consultancies fall short
The largest consultancies sell brilliant strategy and then hand it off to systems integrators who deliver eighteen months later. There is a better way.
The four-week prototype: validating AI investments before committing budget
A prototype is not a demo. Done well it answers three questions before you spend the rest of your AI budget on the wrong thing.
Why FTSE 100 retailers are abandoning enterprise SaaS for custom AI
Off-the-shelf retail analytics is reaching the limits of what it can do for category leaders. Custom AI is starting to win, and the economics make sense.
Risk modelling beyond VaR: what asset managers need in 2026
Value at Risk was good enough for a different market. The combination of crypto exposure, climate stress and regulatory pressure means asset managers need richer risk models.
How private equity firms source deals 3x faster with AI
Deal sourcing is mostly searching, reading, comparing and remembering. AI is good at all four. The PE firms that have figured this out are running circles around the ones that have not.
The hidden cost of regulatory reporting and how to cut it by 80%
Most asset managers spend 4 to 6 percent of their operating budget on regulatory reporting they cannot use for anything else. It does not have to be this way.