Hundred GTM brain

Hundred builds a benchtop visual inspection station for contract manufacturers checking incoming precision parts.

category

Automated visual inspection hardware

market profile

  • text: Incoming quality teams often sample parts; escaped defects can disrupt assembly and force urgent sorting.
  • text: The product targets sub-100 micrometer cosmetic defects and retains per-part images for investigations.

personas

  • title: Incoming quality manager
    pains:
    • Sampling lets defective parts escape into assembly.
    • After a quality incident operators must manually sort the entire lot.
  • title: Manufacturing or quality engineer
    pains:
    • Cannot tell whether damage happened at the supplier or on the assembly floor.
    • Root cause investigations lack images of individual parts at receipt.
  • title: Contract manufacturing operations leader
    pains:
    • Bad components can stop a line or scrap finished products.
    • Manual microscopic inspection is labor intensive.

icp

  • text: Contract manufacturers assembling consumer electronics with precision components delivered in trays.
  • text: Factories with high-volume incoming quality checks and cosmetic specifications for small components; company size and geography are not specified.

message pillars

  • text: Inspect the entire incoming lot instead of only a sample.
  • text: Load whole trays and identify pieces to quarantine.
  • text: Keep visual evidence to investigate downstream failures.

objections

  • objection: Can it find our specific defects on our materials?
    response: Bring representative trays and cosmetic specifications to a founder-led evaluation and measure detection and false rejects.
  • objection: Will inspection slow incoming throughput?
    response: Validate tray cycle time against your lot volume and line schedule during a pilot; public throughput is not stated.

competitors

  • name: Wecho
    website: https://www.wechosys.com/cp-view
    why: Offers AI inspection of microtechnical parts laid out in trays.
  • name: Roboworker
    website: https://www.roboworker.com/en/product/inspection-machines-roboinspect-ris/
    why: Sells AI-assisted optical inspection machines for precision parts.
  • name: Instrumental
    website: https://instrumental.com/build-better-handbook/visual-inspection-ai-aws-lookout-landing-ai-instrumental
    why: Provides AI-based visual inspection for manufacturing.

influencers

  • name: Erica Diaz
    url: https://www.ycombinator.com/founders/erica-diaz
    why: Co-founder and CEO with consumer electronics hardware experience.

keywords

  • incoming quality inspection automation
  • precision parts visual inspection
  • automated optical inspection
  • tray inspection machine
  • cosmetic defect detection
  • electronics manufacturing quality control
  • sub 100 micron defect inspection

voice

  • Practical and factory-focused
  • Direct about line-down consequences

signals

  • text: A factory has had a line stop or lot containment event caused by incoming component defects.
  • text: A manufacturer is adding precision electronics assembly capacity or struggling with manual incoming inspection.

pricing

model: unknown

motion

sales_led

channels

  • founder-led sales
  • YC launch
  • website contact

confidence

medium

Founders

  • name: Erica Diaz
    title: Founder/CEO
    role: CEO
    bio: Erica is co-founder and CEO of Hundred (YC F26). Previously spent 5.5+ years at Meta, Google, and Magic Leap designing hardware for consumer electronics, and resolving issues on the ground with vendors in China and Mexico. Columbia University, BS Mechanical Engineering.
  • name: Imani Gosserand
    title: Founder/CPO
    role: CPO
    bio: Co-founder and CPO of Hundred (YC F26). Previously Software Engineer at Twitch working at the intersection of notifications, short-form content, and ML. BS Computer Science from Columbia University
  • name: Iris Liao
    title: Founder/CTO
    role: CTO
    bio: Co-founder and CTO of Hundred (YC F26). Previously Quantitative Researcher at Citadel. Spent the last year researching machine learning methods on 3D meshes and other structured data. MSc Applied Mathematics, Imperial College London BA Mathematics, Columbia University

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