Manufacturing

Understand the work Design the right AI

Make technical knowledge, expertise, and equipment data usable in development and operations. Address operational challenges through AI agents and physical AI.

Knowledge transfer and technical assistance

Define the target task, available data, and evaluation criteria before selecting an implementation approach.

Equipment understanding through sound and sensors

Define the target task, available data, and evaluation criteria before selecting an implementation approach.

Robot motion and environment simulation

Define the target task, available data, and evaluation criteria before selecting an implementation approach.

AI agents

Development / In-house development support / FDE

Sound AI

Recognition and generation / Acoustic data / Acoustic simulation

Robotics

Development / Simulation / Motion validation / Training and evaluation data

Discover and validate

Map the target workflow and environment, then use prototypes or simulation to assess feasibility.

Build and evaluate

Implement the agreed scope and evaluate against defined quality and operating conditions.

Respect operational constraints

Account for data availability, connectivity, equipment, and the people using the system.

Turn findings into improvements

Document findings and unresolved questions, then agree on the next development priorities.

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Consulting + AI development
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From problem definition and feasibility validation to AI agents, physical AI development, and ongoing improvementDiscuss AI Business & Development