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Acoustix-AI
Real-time stamping health detection using acoustic signatures
⚠ The Problem
$25B Lost Annually
Manufacturing defects & downtime drain 10% of revenue from a $250B global stamping industry. Current inspection systems lack versatility, create data silos, and deliver low ROI.
COST DRIVERS Scrap & Rework 42% Unplanned Downtime 31% Late Detection 21% Other 6%
💡 The Solution
Edge AI + Digital Signal Processing
⚠ DEFECT DETECTED Normal Normal
1
Capture
Acoustic signals captured via precision sensors around stamping die
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2
Filter
DSP + physics models strip noise, isolate signature
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3
Detect
Edge AI flags anomalies with real-time defect alerts
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4
Predict
Failure prevention through continuous learning and pattern forecasting
📈 Market Size
Massive Opportunity
$25B
TAM / yr
$12B
SAM / yr
$5B
Rev. Potential
🚀 Traction
Momentum Building
4th prototype under construction — advanced Digital Signal Processing + Edge AI
Pilot discussions with Major OEMs targeting Q2 2026
Based in Greenville, SC — BMW, Magna & Gestamp in backyard
🏰 Competitive Moat
Why We Win
Physics-based Sound Models Continuous Learning AI Multi-sensor Integration Industry Ecosystem Wide-range Diagnostics Low-latency Edge Processing
🎯 Milestones & Use of Funds
Roadmap
Q4 2026Launch Gen-1 product
2027Build full manufacturing ecosystem
Q2 2027First revenue generation
Target2–4× ROI delivered to customers
Fund Deployment
$750K–$1MAI model fine-tuning
$150–200KHardware iterations
$500–750KExpand technical team
Total Ask · Seed Round
$1.5M – $2M