Standor is an AI‑driven robotic chair that automatically moves users between sitting, a 135° leaning (perching) position, and supported standing. Using embedded sensors and machine‑learning models trained on clinical research, it personalizes transition timing and provides dynamic support to improve circulation and reduce musculoskeletal strain. The chair integrates with standard standing desks, offering hands‑free ergonomic adjustments for corporate offices, co‑working spaces, and remote workers.
Funding
Funding not disclosed
Founders
Product
Problem
Prolonged static sitting or standing at work leads to musculoskeletal strain, reduced blood flow, and decreased productivity. Existing ergonomic solutions often require manual adjustments and do not promote regular postural variation.
Solution
Standor offers an AI‑driven robotic chair that automatically transitions users between sitting, a supported leaning (perching) position, and standing. The chair’s adaptive platform uses machine‑learning models trained on clinical research to personalize movement patterns and timing for each individual. By integrating with standing desks, the system enables seamless, hands‑free posture changes that encourage regular movement, improve circulation, and reduce ergonomic risk. Real‑time sensor data informs the AI to continuously refine support, delivering a continuously optimized ergonomic experience throughout the workday.
Target Audience
Primary customers are corporate offices, co‑working spaces, and remote workers seeking advanced ergonomic furniture to enhance employee well‑being and productivity.
Features
- Automated three‑position transitions (sitting, 135° leaning, supported standing) without user intervention
- Embedded AI that learns individual user biomechanics and adjusts movement cadence accordingly
- Dynamic support mechanisms that stimulate blood flow and maintain musculoskeletal health
- Seamless mechanical integration with standard standing desks for smooth height and posture changes
- Sensor suite (force, position, motion) feeding data to a cloud‑based analytics engine for ongoing performance optimization
- Clinically‑backed posture algorithms derived from ergonomic research and aggregated user data