Legacy Benchmark
48
months
Traditional Global OEMs
Wolfsburg / Tokyo / Detroit
Automotive OEM Solution
From Japan.
Vehicle Development,
Beyond the
18-Month Era.
The pillar of competitiveness in automotive development has shifted ? not only to individual performance, but to development processes that can rapidly integrate complex requirements and enable decisive decision-making. Nature Architects leverages 'Generative Engineering' to identify the winning path from the early stages of vehicle development.
Core Message
What is being demanded is not
simply a reduction in design man-hours.
In an era of ever-increasing complexity,
the question is how quickly
you can reach confident decisions.
Why Now ? 01
The Limits of Design Capability
Are Becoming a Competitive Turning Point.
The complexity of product development has already surpassed a critical threshold.
Requirements such as NVH, weight reduction, crash safety, and thermal management are interdependent, making it impossible to reach optimal solutions only by experience and intuition.
Why Now ? 02 ? Context
A New Pillar Is Emerging
in the Development Cycle.
Current Competitive Standard
24
months
Chinese Domestic OEMs
BYD, XPeng, Geely and others
New Benchmark
18
months
German-Chinese JV Automaker
E/E Architecture, January 2026
The Next Competitive Pillar
1X
months
Beyond 18 months with 'Generative Engineering'.
Why Now ? 03 ? Industry Recognition
This Shift Is Beginning
to Be Voiced by the Industry Itself.
“
Honestly, the biggest challenge is changing the process.
Thomas UlbrichVolkswagen Group China CTO
Caijing Interview ? February 2026
Caijing Interview ? February 2026
“
Virtual verification tools have shortened front-end development without compromising verification rigor.
Han SanchuCARIAD China CEO
Smart EV 2026 Forum Presentation
Smart EV 2026 Forum Presentation
Beyond 18 Months
Process Innovation to Go
Beyond the 18-Month Era.
With Generative Engineering, 3D verification is rapidly cycled from the planning and conceptual design stages of vehicle development, enabling the design space to be learned early.
By transitioning to plan-driven development with sufficient decision-making data in hand, we contribute to the process innovation needed to go beyond the 18-month era.
01 / Learn First
Learn the Design Space
Before Planning.
Before requirements are fully locked in, multiple proposals covering body structure, crash, NVH, thermal, and cost are verified in 3D to identify the winning path at an early stage.
02 / Generative Engineering
Generation, Verification, and Interpretation
in a Single Loop.
Generative Geometry, Generative Simulation, and Generative Awareness are connected to rapidly cycle from initial design generation to next-iteration proposals.
03 / Beyond 18
Advance to Detailed Development
with Sufficient Confidence.
By reducing uncertainty in the early stages and suppressing rework in the latter half of development, we contribute to improvements in development lead time, cost, and decision-making speed.
Case Study
Crash Safety Design
by Generative Engineering.
In automotive platform development, crash safety is one of the heaviest verification loops.
Generative Engineering enables a large number of structural hypotheses to be 3D-verified at the initial stage, finding a "fundamentally sound" concept before moving to detailed development.
01 / Heavy Cycle
Conventionally,
Each Cycle Is Heavy.
Crash safety design requires creating structural proposals, building CAE models, setting mesh and contact conditions, running analysis, interpreting results, and reflecting findings back into the design. Conventionally, verifying one proposal and reflecting it into the next iteration required at minimum two weeks.
02 / 10 Ideas per Day
With Generative Engineering,
10 Proposals per Day.
Generative Geometry generates structural candidates, Generative Simulation converts them into continuously analyzable models, and Generative Awareness interprets the analysis results. This targets a verification cycle of 10 proposals per day in the initial stages.
03 / Good Concept
Extracting Fundamentally Sound Concepts
from a Large Pool of Candidates.
Rather than simply increasing the number of proposals, from the perspectives of load transfer, energy absorption, occupant protection, battery protection, weight reduction, and manufacturability, we identify structural concepts that will perform well in later stages.
Conventional
Create 1 proposal
→
Build model
→
Analysis
→
Interpret results
→
Reflect in design
1 cycle in approx. 2 weeks. Development focused on finding and fixing problems.
Generative
Engineering
Engineering
Generate multiple proposals
→
Auto-modeling
→
Parallel verification
→
Interpret results
→
Generate next proposals
10 proposals per day. Development focused on finding fundamentally sound structural concepts.
Shifting Crash Safety Design from Heavy Downstream Verification to a Fast Learning Loop at the Upstream Stage.
From the earliest stages of platform development, Nature Architects accelerates the cycle of generating structural concepts, verifying them in 3D, interpreting results, and feeding them into the next iteration. By identifying "fundamentally sound" concepts from a large pool of candidates, we raise the confidence of decisions made before entering detailed development.
Kai Suto
須藤 海
須藤 海
CEO, Nature Architects
"Nature Architects dramatically accelerates the automotive development process. We transform design from 'a process that proceeds according to plan' into 'a process of learning toward the right answer.'"
What will be demanded in vehicle development going forward is not individual technical capability alone. The question is how quickly you can reach confident decisions amid the interplay of weight reduction, crash safety, NVH, thermal management, cost, and manufacturability. We shift development from plan-driven to learning-driven, creating a state where a vast design space can be explored, compared, and verified in a short time.