See.Think.Act.Learn.
Sidekick Robotics develops self-improving robots that can see, think, and act with increasing precision, in real time.
Here's a look under the hoodTechnology
Machine Learning at the Core
Long-Horizon Dexterous Reasoning™
Multi-step task planning and execution
At the center of Sidekick's platform is Long-Horizon Dexterous Reasoning™, a new learning approach that enables robots to perform complex, multi-step workflows in the real world.
By autonomously learning to do and undo each task, Sidekick reaches human-level reliability for long-horizon physical work with only a small set of expert demonstrations. Sidekick learns directly from visual demonstrations, translating perception into purposeful motion.
Vision-Language-Action Integration
Vision-Language-Action Architecture
End-to-end transformer-based control
VLAs are transformer-based advanced language models trained on images and robotic actions that demonstrate impressive generalized performance.
We connect our algorithm with a VLA to upgrade its performance to the 95%+ task effectiveness enterprises expect.
End-to-End Visuomotor Learning
Perception to Action Pipeline
Real-time visual feedback and motor control
Sidekick's algorithm learns directly from pixels to physical motion using convolutional neural networks, integrating perception, reasoning, and control into a single adaptive model.
During operation, that same model observes, predicts, and evaluates its own performance, creating a closed feedback loop that strengthens over time.
Continuous Learning Loop
Continuous Improvement Cycle
Fleet-wide learning and optimization
Every deployment makes Sidekick smarter. Demonstrations and real-world feedback feed into a continuous learning pipeline that refines models over time, improving accuracy, dexterity, and reliability with each new task performed.
State-of-the-Art Compute
Edge AI Computing Architecture
High-performance embedded AI hardware
Built for embedded AI performance, Sidekick executes vision and control pipelines locally, combining high-resolution perception with millisecond-level manipulation.
This enables enterprise-grade autonomy in compact, everyday environments, without depending on cloud connectivity.
Product Value
Fully Autonomous — So You Can Free Up Labor for Higher-Value Work
Once deployed, Sidekick operates independently, managing repetitive physical workflows end-to-end, allowing human teams to focus on care, creativity, and connection.
Mobility + Dexterity
Sidekick combines mobile autonomy with dexterous manipulation — giving it the range to navigate real spaces and the finesse to handle complex, delicate physical work.
Gets Better Over Time
Each deployment strengthens the Sidekick AI model, creating a compounding improvement cycle across the fleet.
Designed for the Real World
Starting with the on-premises laundry room in healthcare, Sidekick addresses the growing gap between physical labor demand and human availability — and scales across where physical work is most needed.
Our Belief
We believe that AI shouldn't just write, but it should work in the real world.
Learn more about our work