Which task creates enough value?
Start with measurable operational pain, not a technology mandate.
We assess task fit, automation alternatives and the most important technical and operational unknowns—before you select a robot or commit pilot budget.
An impressive demonstration is not yet a useful industrial system. Before capital is committed, the task needs a technical, operational and commercial case.
Start with measurable operational pain, not a technology mandate.
Compare humanoids against mobile manipulators, cobots, AMRs and fixed automation.
Define teleoperation, demonstration data, failure recovery and human intervention explicitly.
Plan interfaces, safety, cybersecurity, acceptance tests, support and operating ownership before deployment.
A private three-hour working session and written memo for one important use-case, platform or architecture decision.
Turn a real factory task into a defensible go/no-go decision, platform recommendation, business case and pilot plan.
Engineer, integrate and commission the robot, Physical AI, factory interfaces and operating model as one measurable project.
Each stage earns the right to make the next, larger commitment.
Clarify the task, constraints, stakeholders and whether humanoid morphology creates a real advantage.
Compare platforms, test assumptions, model the economics and define a safe production pilot.
Integrate, commission and measure one robot before expanding capabilities, sites and fleet operations.
Humanoids are most credible where mobility and manipulation must coexist, task variation is meaningful, and redesigning the entire environment is uneconomic.
Variable parts and human-scale fixtures where a fixed cell may be too inflexible.
Move totes, kits and components between existing workstations without rebuilding the facility.
Serve several human-operated machines with controlled loading, unloading and recovery.
Collect visual, thermal or acoustic evidence across changing industrial environments.
ROS 2, robot SDKs, motion planning, perception, controls and tooling interfaces.
Teleoperation, demonstration capture, imitation learning, model adaptation and evaluation.
Digital twins, Isaac Sim, reach analysis, synthetic data, cycle-time and failure testing.
PLCs, MES/WMS, networks, safety engineering, cybersecurity, commissioning and support.
Throughput, disruption, staffing and recovery.
Technical fit, interfaces and maintainability.
Capital, operating cost, scenarios and risk.
Hazards, operating modes and conformity pathway.
Network boundaries, access, logging and updates.
Operational value, strategic learning and scale.
“The implementation of SchmidtFactories has significantly accelerated our internal processes. Our sales team saves valuable time every day on documentation, while engineering and support can access complete information much faster. What mattered most to us was improving speed without adding organizational complexity. The 20% reduction in throughput time clearly demonstrates the value.”

A task family and broad objective are enough. You will receive a personal initial view within one business day.