Prediction optimizes for accuracy; real decisions optimize for commitment under uncertainty. In irreversible choices, the most important outcomes are never observed, which makes prediction alone insufficient. Decision-centric AI instead minimizes regret and risk across unseen futures—not just performance on today’s data.
We work at the intersection of data, systems, and human judgment, building learning systems that operate within real-world uncertainty and complexity.
Rather than isolated models or short-lived experiments, we focus on complete AI systems designed end to end, shaped by constraints, and built to persist over time.
Each solution is approached with care, accounting for data integrity, system reliability, human interaction, and the demands of long-term operation.
We focus on building systems that behave well beyond controlled settings. That means clear design, careful engineering, and an emphasis on reliability over presentation.
LastArray is a small, closely aligned team of researchers and engineers. We measure success by whether the systems we build continue to function as intended and earn trust as conditions evolve over time.








