Shiraz AI GTM brain

Shiraz AI deploys robots that learn manufacturing tasks from a single human demonstration for high-mix factories.

category

Adaptive manufacturing robotics

market profile

  • text: High-mix manufacturing changes tasks frequently, making fixed automation difficult to amortize.
  • text: Manufacturers face labor shortages alongside automation that can be too rigid for changing lines.

personas

  • title: Contract manufacturing plant manager
    pains:
    • Cannot consistently staff repetitive tasks as production orders change.
    • Idle automation ties up capital when lines are reconfigured.
  • title: Manufacturing automation director
    pains:
    • Programming and tooling a robot for every short run creates expensive changeovers.
    • Needs the equipment, model and installation to work together on the factory floor.
  • title: Operations executive
    pains:
    • Needs proof that flexible robotics can improve throughput without disrupting production.
    • Must justify deployment economics for variable product mixes.

icp

  • text: Contract manufacturers running high-mix production with frequent line changes and manual manipulation tasks.
  • text: Factories with a staffing gap and existing equipment that sits idle as work changes; company size is not publicly specified.

message pillars

  • text: Teach a new task with one human demonstration.
  • text: Avoid a new training campaign for each task.
  • text: Deliver a working integrated system on the customer's line.

objections

  • objection: Our product mix changes too often for robotics to pay off.
    response: Offer a task-specific demonstration and validate changeover time and output on the actual line.
  • objection: Who handles integration and deployment?
    response: Shiraz says it delivers hardware, the model and on-site deployment; scope a site assessment before committing.

competitors

  • name: Figure AI
    why: Develops general-purpose robots for industrial work and competes for emerging automation projects.
  • name: Tesla
    why: Its Optimus humanoid initiative targets physical work and is an emerging alternative.
  • name: Rethink Robotics
    why: Offers industrial robots for flexible manufacturing automation.

influencers

  • name: Mojtaba Mozaffar
    url: https://www.linkedin.com/posts/mojtaba-mozaffar_im-proud-to-share-what-we-are-building-at-activity-7493404081361707008-KTJI
    why: Co-founder publicly introducing the product.
  • name: Navid Aghasadeghi
    url: https://www.linkedin.com/posts/navid-aghasadeghi-356b077b_i-didnt-get-into-robotics-because-of-star-activity-7480731219064713216-VQXc
    why: Co-founder discussing the company's manufacturing robotics thesis.

keywords

  • high mix manufacturing automation
  • robot learning from demonstration
  • contract manufacturing robots
  • flexible robotic manipulation
  • rapid robot changeover
  • factory labor shortage automation

voice

  • Practical and factory-focused
  • Confident
  • Demonstration-led

signals

  • text: A contract manufacturer adds new SKUs or frequently changes production lines.
  • text: A plant reports persistent production hiring gaps or underused fixed automation.

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • X
  • product demonstrations
  • founder-led outreach

confidence

medium

Founders

  • name: Navid Aghasadeghi
    title: Founder/CEO
    role: CEO
    bio: Founder at Shiraz AI (YC S26). Previously Senior Staff Robotics Engineer at Boston Dynamics, where he was part of the core team that brought Spot from R&D to commercial deployment and led industrial manipulation. Previously Principal Robotics Engineer at Rethink Robotics, where he developed full-stack controls for Sawyer and led force control development. Also founded GenZArt, an AI consumer app that scaled to 1M users. PhD in ECE from UIUC.
  • name: Mojtaba Mozaffar
    title: Founder/CTO
    role: CTO
    bio: Founder at Shiraz AI. Previously Senior Applied Scientist and tech lead at Amazon Robotics, leading high-impact work in perception, policy learning, and manipulation. Before that, Research Assistant Professor at Northwestern directing AI and robotics research. PhD in Mechanical Engineering and Robotics from Northwestern.

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