Customer Success Stories

Real projects, real results, real customers who trust Geppetto for precision manufacturing.

Transparency

Transparent Breakdown Promise

Every quote ships with AI pre-check, expert validation, and an itemized cost structure.

8-Hour Expert Review

AI feasibility check within 2 hours, followed by detailed engineer review and recommendations before you approve budgets.

Auditable Cost Breakdown

Material, machining, finishing, and operations are itemized so founders and finance teams know exactly what they pay for.

72-Hour Production Rhythm

Capacity is reserved the moment you approve, with standard parts produced and shipped in 72 hours and milestones shared in real time.

Transparent milestones from upload to shipment

Zero hidden fees · Bilingual engineers · Startup cash-flow friendly

0-2h

AI feasibility scan & DFM feedback

2-8h

Expert breakdown + quote delivery

<72h

Production, QA, and logistics prep

Proven Results Across Industries

Real metrics from 100+ successful manufacturing partnerships

100+
Companies Served
Across 15 industries
85%
Avg. Cost Reduction
vs traditional suppliers
24h
Average delivery
vs 2-3 weeks traditional
98%
Customer satisfaction
Would recommend us

🌟 Featured Success Stories

How our flexible manufacturing transformed their business outcomes

🤖
Robotics • 48h delivery

Robotics Precision Components — 48h Iteration Partner

Shenzhen Humanoid Robotics Co., Ltd.

Joint housings with ±0.01 mm tolerance iterated in 48h through AI CAM, apprentice execution, and transparent QA logs.

• AI-generated 5-axis toolpaths kept iterations predictable.
• Apprentice + expert execution achieved Ra0.6 surfaces.
• Transparent breakdown exposed machining, QA, freight costs.
• 47% total cost reduction vs legacy supplier.
Deliveries
48h
Iterations
10+
Result
Saved six months of development time and enabled rapid Series-A readiness.
View full case →
✈️
Aerospace • 72h multi-axis

Complex Structural Part Demo — Aerospace-Grade Surfaces in 72h

Confidential Aerospace Prototype Program

Topology-optimized bracket with 2.5 mm walls proved manufacturable in 72h using AI CAM, adaptive roughing, and transparent QA logs.

• AI CAM cut programming time from 30 days to hours.
• Material utilization jumped from 12% to >30%.
• 156 threaded holes machined without deformation.
• Cycle + QA logs synced to the customer’s digital thread.
Cycle time
72h
Material saved
30-40%
Result
Manufacturability evidence cleared the wind-tunnel gate on schedule.
View full case →
🏥
Medical Devices • QA full-stack

Medical Titanium Components — Regulatory-Ready Precision

Confidential MedTech Startup

Medical-grade Ti-6Al-4V components reached Ra0.3 surfaces with FDA-ready traceability while launching production within 72h.

• Titanium-specific AI library set optimal feeds and speeds.
• Inline monitoring prevented deformation and tool wear.
• CMM + material certs delivered in FDA-ready format.
• 30–35% cost reduction vs medical incumbents.
Surface finish
Ra0.3
QA compliance
100%
Result
Regulatory submissions stayed on schedule with zero scrap setbacks.
View full case →

📊 Detailed Success Analysis

🤖 Robotics Success Blueprint

How flexible manufacturing unleashes hardware iteration speed.

Single-piece production for every iteration sprint.
72H production + shipping kept investors updated weekly.
Precision logs fed directly into their digital twin environment.
““Geppetto’s transparency and speed took us from concept to demo in record time.””
— CTO, Humanoid Robotics Startup

✈️ Aerospace Freeform Success

How multi-axis automation de-risks structural innovation.

AI CAM shrank programming from weeks to hours.
Material planning plus adaptive roughing improved utilization 2.5×.
Full QA + log data connected to the customer’s digital thread.

🏥 Medical Device Reliability

Precision + compliance from prototype to pre-production.

Titanium machining with Ra0.2 µm finish and documentation.
DFM checklist aligned with FDA submission timelines.
Long-term partnership covering pilot and production phases.

"For the first time, I understood exactly what I was paying for. The transparency let us fund another prototype iteration."

Hardware Startup Founder • Electronics Industry

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