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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