We're building the AI operating system for private capital, embedding agentic AI into core investment processes without compromising quality, compliance, or accountability. Investors can move faster without losing control over their decisions.
Agentic AI is a natural fit for investment work. It can analyze faster, monitor continuously, and execute workflows at scale.
But investing is not just speed or automation. It demands accountability: every decision must be explainable, every output verifiable, and every process aligned with strict standards for compliance, reporting, and investor trust.
Black box systems, untraceable outputs, and uncontrolled automation do not belong in high-stakes investment decision-making.
We believe AI should strengthen judgment, not bypass it. The future is not autonomous systems operating unchecked, but accountable systems working alongside investment professionals.
Xlagent brings agentic AI into core investment processes with full transparency, control, and compliance. As investment firms go agentic, Xlagent is the trusted infrastructure behind them.
The Xlagent Team.
Co-Founder & CEO
Diederik started in transaction advisory at EY, then joined the investment team of a private equity real estate firm, where he saw ambitious firms constantly bottlenecked by document-driven processes.
He started Xlagent on a simple conviction: the next generation of investment firms will work alongside AI agents, and the gap between early movers and the rest will be significant. He is building the tools he could only dream of as an analyst.
Co-Founder & CTO
Ignace spent years building software for the medical industry, where the confidentiality of every record is non-negotiable. He brings that standard to Xlagent, building an infrastructure where your most sensitive data is treated the same way.
He co-founded Xlagent to build at the frontier of AI agents in high-stakes industries, where the potential impact is enormous and the standards have to match.