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PITCH GUIDE

Manufacturing pitch deck guide

Modernizing production for the next century

Manufacturing investors evaluate operational leverage, the speed of enterprise adoption, and whether software or automation genuinely improves throughput and yield. Your pitch should show measurable factory floor impact with paying customer evidence.

57+ Manufacturing investors
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Key metrics to know

Overall Equipment Effectiveness (OEE)

Combined measure of availability, performance, and quality for machinery.

Benchmark: World-class manufacturing: 85% OEE; average is 60%. Show improvement delta.

Yield Improvement

Reduction in defect rate or scrap as a result of your technology.

Benchmark: Even 1-2% yield improvement at scale represents millions in customer savings.

Throughput Increase

Percentage improvement in units produced per shift or per machine.

Benchmark: 10-20% throughput gains are highly compelling for industrial buyers.

Customer Payback Period

Time for the manufacturer to recover the cost of your solution.

Benchmark: Under 12 months is highly attractive; 18-24 months is acceptable.

Annual Recurring Revenue per Site

Recurring software or service revenue per factory or production line.

Benchmark: Show expansion as customers deploy across additional lines or sites.

Must-have slides

1Factory floor impact

Show real results from real production environments

  • Present OEE, yield, or throughput data from live deployments
  • Quantify dollar savings per customer site per year
  • Use named customer case studies where permitted

2Integration and deployment

Address the legacy system integration challenge

  • Show how you connect to existing PLCs, SCADA, and MES systems
  • Demonstrate deployment timeline and IT/OT integration approach
  • Present change management and operator training strategy

3Land-and-expand model

Show how one plant becomes an enterprise relationship

  • Map the journey from pilot line to plant-wide to enterprise rollout
  • Show ACV expansion over 12-24 months from existing customers
  • Explain which production metrics trigger expansion decisions

Common mistakes to avoid

  • !Pitching AI or ML without grounding it in measurable OT outcomes
  • !Underestimating IT/OT integration complexity and legacy system diversity
  • !Not having manufacturing operators or industrial engineers on the team
  • !Ignoring cybersecurity requirements for operational technology systems
  • !Over-indexing on pilot wins without showing enterprise expansion

What investors expect

  • Measurable production improvements from live customer deployments
  • Team with manufacturing domain expertise, not just software engineering
  • Clear integration pathway with major industrial automation platforms
  • Land-and-expand model with documented site-to-enterprise case studies
  • Cybersecurity and OT compliance certifications appropriate to industry verticals

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