High-Accuracy CAD Annotation and Review Project
Delivering mission-critical data for AI-powered manufacturing intelligence
500
CAD Drawings
15
Annotation Fields
95%+
Accuracy Rate
30
Days Delivery
About the Client
Tbrain partnered with a leading AI-powered manufacturing company valued at nearly $3 billion on NASDAQ.
This industry leader connects businesses with a vast network of manufacturing partners worldwide, offering services ranging from CNC machining and 3D printing to injection molding, sheet metal fabrication, serving industries including aerospace, automotive, healthcare, robotics, and consumer products.
Project Objective
🎯
Accuracy
At least 95% accuracy rate required
⚡
Speed
Strict 30-day timeline
🔧
Solution
Complete turnkey process from scratch
The Challenge
⏱️Intense Time Pressure & Scale
Process and annotate 500 complex CAD drawings across 15 annotation fields within just one month. Manual approaches would cause unacceptable delays and high error rates.
🚫No Established Process
Client had no formalized annotation platform or workflow, requiring Tbrain to engineer a dedicated solution from the ground up.
👨🔧Specialized Talent Shortage
Required deep mechanical engineering expertise for CAD drawing interpretation. Client lacked sufficient in-house subject matter experts.
✓High Quality Standard
Strict mandate requiring minimum 95% accuracy rate to be deemed acceptable for AI training purposes.
Tbrain's Strategic Solution
We designed a comprehensive strategy built on three foundational pillars: Multi-Layer Quality Assurance, Strategic Platform Integration, and Elite Subject Matter Experts.
5-Layer Quality Assurance Framework
Layer 1
MAKER
Annotation Execution
Domain-trained makers perform detailed interpretation and initial annotation across all 15 fields
↓
Layer 2
REVIEW
100% Peer Review
Expert mechanical engineer validates technical accuracy and provides actionable feedback
↓
Parallel Statistical Quality Gates
Layer 3
SAMPLE 1
Independent QA analyst validates random sample
Layer 4
SAMPLE 2
Concurrent second QA analyst validates separate sample
⚠️ If either sample fails → Entire batch rejected
↓
Layer 5
FINAL QA
Client Acceptance
Seamless validation of pre-polished, high-quality data by client team
🔧
Platform Integration
Leveraged Labelbox for intelligent workload distribution, collaborative annotation, and complete audit trails
👨🎓
Elite Team Assembly
University lecturers, top-10 US engineering graduates, and Associate Professors with 20+ years experience
✓
Quality First
Proprietary validation tools and batched delivery to ensure zero surprises at project conclusion
Implementation Process
1
Project Kick-off & Setup
Deep-dive requirements meetings, Statement of Work (SOW) development, Labelbox configuration, and comprehensive team onboarding
2
Annotation & Review Cycle
Continuous high-velocity loop: Task distribution → Maker annotation (100 drawings/week) → Expert review → Parallel sample testing → QA validation
3
Finalization & Delivery
Batched submission (5 batches of 100), proprietary tool validation, secure data export, and complete project handover with detailed reporting
Outstanding Outcome
95%+
High Pass Rate Achieved
Exceeded the ambitious 95% requirement with exceptionally high accuracy validated by client's rigorous internal checks
30
Days On-Time Delivery
All 500 complex drawings completed precisely within strict timeline, preventing costly downstream delays
Client Benefits
- Scalable & Replicable Workflow: Established validated process serves as powerful benchmark for ongoing business needs
- Zero Strain on Internal Resources: Client's engineering team remained focused on core innovation and revenue-generating activities
- Turnkey Solution Delivered: Complete end-to-end process from scratch with zero rework required
- AI Initiative Protected: Strategic timeline preserved with absolute confidence in data foundation
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