About Akreon
Decision systems for uncertain, constrained worlds.
Akreon is David Akre's public technical lab and consulting practice focused on systems that must sense, decide, and act under uncertainty.
The work is built around a simple observation: in real systems, models are incomplete, measurements are noisy, constraints are binding, and action cannot wait for perfect information.
Akreon explores this layer between models and action through technical tutorials, rendered notebooks, essays, videos, and focused consulting work across control, optimization, estimation, simulation, and quantitative decision-making.
Founder
David Akre
Akreon grows out of a deep interest in mathematics and dynamical systems: how systems evolve, what can be inferred from imperfect measurements, and how useful decisions can be made under uncertainty and real constraints.
David’s experience spans fielded autonomous systems in space, autonomous trucking, robotic manipulation, and unmanned ground vehicles. His work has crossed the autonomy stack — from SLAM and state estimation to planning, feedback control, simulation, and the numerical software needed to make those methods operate reliably.
The through-line is a holistic view of decision-making in technical systems. Estimation, planning, and control are not isolated modules; each depends on the same underlying state, models, objectives, constraints, and uncertainty. A decision that looks sound in one layer can fail when timing, observability, actuator limits, numerical behavior, or the rest of the closed loop is ignored.
Akreon studies these systems through a mathematical and implementation-aware lens. Convex optimization is one useful point of view because it makes objectives, constraints, feasibility, and tradeoffs explicit while connecting naturally to control, estimation, and robust decision-making.
The aim is not mathematical machinery for its own sake, but clearer reasoning about the whole system — from model to action.