We build autonomous machines and learning systems that move discovery from the whiteboard to the bench – faster, safer and at scale.
Our name is our map: SCI for science, ROB for robotics, IT for intelligent technologies. Each pillar strengthens the others.
Instrumented experiments, rigorous data and reproducible pipelines that turn observations into knowledge.
Manipulators, mobile platforms and lab automation that handle delicate, repetitive and hazardous work with precision.
Machine learning, computer vision and edge AI that give our systems perception, planning and judgment.
A modular platform that connects sensing, robotics and AI into one feedback loop: plan an experiment, run it, learn from the result, repeat.
Each module works on its own and gets stronger together. Start with a single cell and scale to a fully autonomous workflow.
Autonomous inspection of critical infrastructure.
Autonomous synthesis and characterization.
Vision-guided inspection and adaptive assembly.
Open robotics kits for labs and classrooms.
We treat every project like an experiment: clear hypotheses, measurable outcomes and fast iteration with our partners.
We study your process on site, map bottlenecks and define what success looks like in numbers.
Simulation and digital twins let us test robot and AI strategies before any hardware is built.
We prototype quickly, integrating sensors, actuators and learning software into one working system.
Deployed systems keep learning. We measure, refine and scale what works.
Early programs we are building toward. Interested in collaborating? We are open to research and pilot partners.
Tactile sensing and learned grasping policies that let robots handle fragile labware, precision components and soft materials as carefully as a trained technician.
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Active-learning loops that choose the most informative next experiment, cutting the time and cost needed to reach a reliable result.
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Compact, energy-efficient AI that runs on board – enabling robots to perceive and decide in remote environments without relying on the cloud.
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