For ManufacturersZEROCK for Makers
Drawings, inspection records,
veteran expertise.
Retrieve everything in seconds
Search 150,000+ drawings in 30 seconds for similar designs. Structure veteran expertise with AI knowledge graph technology that understands design intent and past defect patterns—not just keyword matching. SOC2 Type II certified, AES-256 encrypted, AWS Tokyo Region. We never train models on your data.
Knowledge Challenges in Manufacturing
Finding past drawings takes 30+ minutes each time, with no way to know if similar designs already exist
Veteran engineers approaching retirement, but tacit knowledge (sound, vibration, touch-based judgment) cannot be formalized
Embedded software testing depends on specific QA engineers, with test case creation alone taking days
No way to cross-search past defect records and corrective action history for root cause investigation
Manual linking between drawings and specifications leads to frequent tracking gaps during design changes
Previous AI/DX tools failed due to data preparation barriers. 'AI doesn't work' sentiment lingers on the shop floor
1.57M
Workers lost from manufacturing in Japan over the past 20 years. The 2025 problem makes knowledge transfer even more critical
Source: METI Manufacturing White Paper 2024
6 AI Features That Solve Manufacturing Challenges
AI Similar Drawing Search
Upload drawings (PDF, TIFF, DXF), 3D models, and specifications. AI knowledge graph technology (GraphRAG) analyzes design intent, materials, and dimensions—finding past drawings with similar design philosophy in 30 seconds, not just keyword matches. Engineers review and select from candidates. Formats: PDF, TIFF, DXF, STEP, IGES, Excel, Word
Knowledge Transfer Base
Structure veteran judgment criteria, troubleshooting procedures, and machining know-how with AI knowledge graph technology. Eliminate 'only that person knows.' Junior engineers learn naturally through dialogue.
Embedded Software Test Agent
Agent Mode analyzes specifications to auto-generate test case candidates. Comprehensively identifies IoT device combination patterns. Generated test cases appear on a dashboard where test engineers review, edit, and approve before execution. Nothing runs without approval. Dashboard tracks adoption rates and defect detection for continuous improvement.
Quality Defect Traceability
AI cross-searches past defect records, corrective actions, and 4M change history. Analyzes similar defect patterns and suggests preventive measures. ISO 9001 compliant.
Design Change Impact Analysis
GraphRAG maps dependencies across drawings, BOMs, specs, and inspection standards. Auto-detect impact scope during design changes to prevent tracking gaps.
Cost Estimation AI Assistant
Reference past similar product costs and machining times to auto-generate rough estimates for new projects. Data-driven estimation without relying on veteran intuition.
Agent Mode in Manufacturing Scenarios
Pre-design investigation for new parts
List similar past drawings to a φ25×L120 SUS304 shaft, along with any quality defect history from those designs
Displayed 8 similar drawings with similarity scores by dimensions, material, and surface treatment. Also output corrective action history for 'heat treatment distortion' defects found in 3 of those designs. Results are continuously refined through feedback
Embedded software test automation
Read the spec for the new temperature sensor module and generate test cases including boundary value and abnormal condition tests
Auto-generated 52 test cases from spec. Covered temperature range boundaries (-40°C to +85°C), communication timeouts, and sensor failure failsafe behavior
Veteran knowledge retrieval
Search past trouble records for how to handle porosity in aluminum die casting
Summarized 12 records from past 5 years. Classified into 3 patterns: 'Lower melt temp by 10°C,' 'Gate position change,' 'Vacuum optimization.' Displayed success rate for each approach. Experts can review and adjust results
Design change impact identification
Check the impact scope if motor bracket A-2341 plate thickness changes from 2.0mm to 2.5mm
Identified 5 related drawings, 3-level BOM, 2 inspection standards, 1 assembly procedure. Flagged that upper assembly strength recalculation needed due to weight increase
Before and After Implementation
Manufacturing Implementation Results
Automotive Parts Manufacturer (1,200 employees)
1,200 employees, 45 in engineering
We loaded 30 years of 150,000 drawings into ZEROCK. What used to take designers 30 minutes to find now appears instantly with a text search. Since defect history is linked, we've stopped repeating the same mistakes. TIMEWELL engineers completed data migration in 2 weeks. Almost zero burden on our team.
— Design Department Director
Before
30 min/searchAfter
30 sec/searchElectronics Manufacturer (500 employees)
500 employees, 12 in QA
With IoT product variations increasing, manual testing reached its limits. ZEROCK's Agent Mode auto-generates test cases from specs, letting our QA engineers focus on critical edge cases.
— Quality Assurance Manager
Before
2 weeks/modelAfter
3 days/modelPrecision Parts Manufacturer (380 employees)
We decided to adopt ZEROCK ahead of 3 veteran engineers retiring. We had failed with an AI chatbot before, so we were skeptical—but seeing the search demo with our actual drawings convinced us. Within 2 months, drawing search was no longer person-dependent, and junior engineers' design review quality improved.
— Manufacturing Technology Director
Manufacturing ROI Simulation
Monthly cost reduction for a manufacturer with 10 engineers
Current Monthly Cost
* Calculated at ¥5,000/hr × 10 engineers (custom estimates available for your team size)
After ZEROCK
347.5 hours/month saved
ZEROCK費用
¥300,000* Includes implementation support, data migration, and ongoing support. No hidden fees
Monthly cost savings
¥1,437,500
ROI 379%
Payback period: ~3 months
More Ways to Use ZEROCK
AI活用準備度診断
10問・3分で、貴社のAI導入準備状況を可視化
As the 2025 problem accelerates,
see a real demo with your drawings
In a 30-minute online demo, experience AI search with your actual drawing data. A dedicated consultant with manufacturing experience will guide you. After the demo: 2-week free trial → contract at your pace.