Shiraz AI
Shiraz AI provides an adaptive robotics foundation model that learns new manufacturing tasks from a single human demonstration, without retraining or data collection. The system adapts in context and covers the full workflow from show to learn to work, enabling rapid reconfiguration for production lines that change weekly. It is designed for collaborative deployment alongside human workers in high-mix manufacturing settings.
- Robotics
- Industrial Automation
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Hardware
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
High-mix manufacturing environments change production lines too frequently for traditional automation, which is rigid, expensive, and often sits idle. Factory owners simultaneously struggle to hire enough workers to keep up with shifting production demands.
Solution
Shiraz AI provides an adaptive robotics foundation model that learns new manufacturing tasks from a single human demonstration after deployment. The system adapts in context from that demonstration without any retraining or data-collection campaign, enabling rapid reconfiguration as production lines change. It is designed to work alongside human workers in settings where conventional automation is impractical due to cost or inflexibility. The model covers the full workflow from input (show) through adaptation (learn) to deployment (work), allowing factories to deploy robots on lines that change every week.
Target Audience
Primary customers are factory owners and operators in high-mix manufacturing environments who need flexible automation that can adapt to frequently changing production lines.
Features
- Foundation model that learns from a single demonstration, eliminating the need for retraining or data collection
- In-context adaptation capability for rapid task switching in high-mix environments
- Whole-body control and bimanual manipulation expertise applied from industrial robotics research
- Designed for collaborative deployment alongside human workers in dynamic factory settings
- Operational status, indicating the system is currently deployable in production environments