Long Term Vision

Our long term vision is a fully autonomous factory where every robotic cell, line, and process is orchestrated by a coordinated family of foundation models. These models will embody general robotic intelligence across manufacturing environments, perceiving, reasoning, and acting autonomously in dynamic and unstructured industrial settings. The result will be factories that operate continuously, safely, and profitably with minimal human oversight. Over time, this foundation model system will become the infrastructure layer for physical intelligence, unlocking a new era of manufacturing productivity and global supply chain resilience.

Our Approach

We are beginning this journey by building the first foundational block: task specific manipulation models that automate high value and repetitive operations such as picking and sorting. The system is powered by our proprietary models and training techniques. These models can learn more efficiently from two dimensional video instead of expensive teleoperation rigs. This allows factory workers to teach robots tasks directly using a phone or fixed camera. The models are low latency, have predictable cost, integrate seamlessly with existing factory systems, and are generalizable across customers with only light adaptation. This approach generates measurable return on investment within months while continuously building the dataset and model library required for general robotic intelligence.

Current Focus

We are starting with high value, repetitive tasks that create immediate and measurable financial impact for factory operators. Our first focus areas are pick and sort, case packing, and basic kitting operations, tasks that are essential for production throughput yet constrained by labor shortages, rising injury rates, and process variability. These tasks are ideal entry points because they are repetitive, structured enough for near term automation, and occur across nearly every manufacturing and packaging facility. Automating them unlocks clear return on investment through higher consistency, reduced downtime, and redeployment of workers to higher value activities such as quality control and maintenance.

As our models mature and generalize, we will expand into progressively complex use cases including assembly, tool handling, fixture inspection, and dynamic reconfiguration of production lines. Each new model builds upon the capabilities of earlier ones, creating a compounding effect in both data and performance. The long term objective is to enable a generalist robotic intelligence that can plan, adapt, and execute entire production workflows autonomously, ultimately moving from single task manipulation to full line orchestration across the factory floor.

Our Team

Factory Intelligence is built by a team that bridges frontier AI research and real-world manufacturing. The team has toured over seventy factories across multiple sectors, studying how work is organized and where automation breaks down. This experience is the basis for Factory Intelligence's goal: to build the system that powers intelligent, autonomous industrial systems.