Every fielded fleet needs an off-robot stack: a data & simulation platform to develop and validate, robot operations to run it in production, and developer tooling to ship and harden the software behind it. Each layer is a set of named, scoped engagements, and every name is backed by a system running in production.
The engineering backbone: OTA updates and CI/CD, logs and KPIs, and the mission-critical architecture that gets robotics software through enterprise procurement.
The most demanding passage: systems integration, mixed-vendor fleet management, perception that holds up in the real world, and the operator experience to run — and rescue — the machines.
The deepest layer and the least mapped: training data that compounds, model pipelines with CI/CD discipline, and simulation that makes "it works" falsifiable.
That's what a Pathfinding Sprint is for. Two weeks, and you'll know.