Pradient
Pradient
Pradient combines AI engineering, data infrastructure, and business operations experience to build software that works in the real world.
Paul has experience helping executive teams make faster decisions, reduce operational costs, and unlock new revenue from their data using LLMs. Before co-founding Pradient, Paul researched AI policy at TSD Communications in Washington, DC, studying how emerging regulation shapes the way companies can and should adopt AI.
At Pradient, Paul leads product development, client strategy, and the technical architecture of our AI platforms.
George brings an economics background from UC Berkeley and experience Led data infrastructure rollouts across international platforms in private equity.
At Pradient, George oversees operations, data infrastructure, and the systems that keep our products running reliably at scale.
Pradient is intentionally small. We believe a focused team of skilled generalists can outperform a large team of specialists, especially in the fast-moving AI landscape where the ability to learn quickly and adapt matters more than deep expertise in any single tool that might be obsolete in six months.
We're growing carefully. If you're interested in joining a team that's building AI software with real customers and real impact, check out our open positions.
Whether you're interested in hiring us or joining us, we'd love to hear from you.