Physical AI Development
Research, PoC, and implementation support for Physical AI that creates value in the physical world
With the shrinking working-age population and rising needs for field automation, AI-enabling real-world operations in manufacturing, logistics, and retail is an urgent priority. Extending AI utilization — which has been confined to the digital domain — into the physical world and integrating it with robotics makes it possible to simultaneously achieve labor savings and productivity improvement. It is particularly essential for sustaining competitiveness in the manufacturing sector where Japanese enterprises hold their strengths.
Challenges
Do you face these challenges?
- Ensuring Safety in the Physical World
There is a significant gap between training in the simulation environment and behavior in the real environment, and a validation process for demonstrating the safety of robots and AGVs that collaborate with humans has not been established.
- Difficulty in Visualizing ROI
Adopting Physical AI generates costs spanning capital investment, systems integration, and talent development, but labor-cost reductions and efficiency gains cannot be quantified, making it difficult to explain to senior management.
- Data Fragmentation in the Field
Sensor data obtained from existing equipment is not standardized, and building the integrated database required for AI training takes enormous cost and time. Integration with legacy systems is also a significant barrier.
What enableX Can Do
We provide end-to-end support — from designing the data-integration architecture that connects existing equipment with AI systems through implementation. We stay hands-on across building the simulation environment, validating on real equipment, validating safety, and establishing the risk-assessment framework. By designing quantitative KPIs — including reduced workload, improved defect rate, and uplift in equipment utilization — in advance, and through phased ROI visibility, we reliably support investment decisions by senior management.
“Digital intelligence, into the real-world field. enableX sees that implementation through to the end.”
DeepTech Executive Director
Our Professionals
Let's talk in detail
Our expert team will provide tailored proposals
Key Features
Requirements Definition
Requirements definition, hardware selection, and sensor-integration design for Physical AI.
Prototype Validation
Integration of learning models and control systems, and prototype validation in real environments (including safety evaluation).
Transition Support to Production Operations
Transition support to production operations (operating procedures, maintenance, and data-acquisition design).
Why Choose Us
A Realistic Adoption Plan
By organizing the technical outlook and implementation challenges, we are uniquely positioned to define a realistic adoption plan.
Implementation Know-How That Connects to the Physical World
Implementation know-how that connects generative AI and multimodal technologies with the physical world.
Our Professionals
Let's talk in detail
Our expert team will provide tailored proposals
Ready to transform your business?
Discover the value Physical AI Development can deliver to your business.