Shiraz AI GTM brain
Shiraz AI deploys robots that learn manufacturing tasks from a single human demonstration for high-mix factories.
category
Adaptive manufacturing roboticsmarket 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 managerpains:
- Cannot consistently staff repetitive tasks as production orders change.
- Idle automation ties up capital when lines are reconfigured.
- title: Manufacturing automation directorpains:
- 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 executivepains:
- 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 AIwhy: Develops general-purpose robots for industrial work and competes for emerging automation projects.
- name: Teslawhy: Its Optimus humanoid initiative targets physical work and is an emerging alternative.
- name: Rethink Roboticswhy: Offers industrial robots for flexible manufacturing automation.
influencers
- name: Mojtaba Mozaffarurl: https://www.linkedin.com/posts/mojtaba-mozaffar_im-proud-to-share-what-we-are-building-at-activity-7493404081361707008-KTJIwhy: Co-founder publicly introducing the product.
- name: Navid Aghasadeghiurl: https://www.linkedin.com/posts/navid-aghasadeghi-356b077b_i-didnt-get-into-robotics-because-of-star-activity-7480731219064713216-VQXcwhy: 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_ledchannels
- X
- product demonstrations
- founder-led outreach
confidence
mediumFounders
- name: Navid Aghasadeghititle: Founder/CEOrole: CEObio: 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 Mozaffartitle: Founder/CTOrole: CTObio: 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.