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Autopatt — ShowOhio Pitch Competition

2025

Pitched a startup concept, 'Autopatt,' automating pattern recognition in micro-manufacturing to improve precision alignment and efficiency.

Autopatt — ShowOhio Pitch Competition
Computer VisionAutomationEntrepreneurshipStartup PitchPattern Recognition

Overview

Competed in the ShowOhio Pitch Competition with a prototype and business strategy for 'Autopatt,' an automation tool powered by pattern recognition. The project focused on improving alignment accuracy in microresistor placement within photolithography processes—an area critical to semiconductor manufacturing efficiency.

"Your approach to manufacturing automation could have significant industry applications." – Competition panel judge

Key Features

  • Developed early-stage prototype leveraging image recognition for micro-scale pattern detection.
  • Simulated automation pipeline capable of reducing human error in fine alignment tasks.
  • Designed pitch deck combining technical feasibility with go-to-market strategy.
  • Incorporated team expertise across engineering, computer vision, and entrepreneurship.
  • Structured solution as scalable, with adaptability to multiple manufacturing contexts.

Applications

Tech Stack

Key Achievements

  • Presented to experienced judges and industry mentors as part of ShowOhio competition.
  • Received strong feedback on technical vision and business potential (award/placement TBD).
  • Gained valuable entrepreneurial experience in high-pressure, competitive environment.

Impact

Addressed billion-dollar inefficiencies in microelectronics manufacturing through automation.Proposed cost-savings potential via reduced error rates, minimized rework, and yield improvements.Showcased importance of interdisciplinary approaches—linking technical innovation to business outcomes.Contributed to ongoing student entrepreneurship ecosystem at Ohio State.