Intrinsic offers an AI‑driven software platform that simplifies robot automation by providing a unified development environment, Flowstate, where users can create digital twins, add perception and motion‑planning skills, and generate collision‑free trajectories without deep robotics expertise. The platform’s ready‑to‑use capabilities and containerized IntrinsicOS enable rapid design, simulation, and deployment of production‑grade automation solutions across cloud and on‑premise systems.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial robots remain difficult and costly to program, integrate, and maintain, which keeps them out of reach for the majority of manufacturers and small‑to‑mid‑size businesses that could benefit from automation.
Solution
Intrinsic provides an AI‑driven software platform that abstracts robot hardware behind a unified development environment called Flowstate. Users design a digital twin of their workcell, add perception, motion‑planning, and sensor‑control skills from a catalog, and compose them with visual behavior trees or code. The platform automatically generates collision‑free trajectories, trains pose‑estimation models from CAD files using synthetic data, and enables real‑time force and distance control. Solutions are containerized on IntrinsicOS, allowing seamless deployment from cloud simulation to on‑premise industrial PCs and integration with existing shop‑floor systems via standard interfaces. This end‑to‑end stack reduces the expertise, time, and cost required to bring robot automation into production.
Target Audience
Primary customers are manufacturing engineers, system integrators, and robotics developers at midsize and large industrial firms seeking to automate assembly, material handling, or inspection tasks.
Features
- Flowstate IDE with graphical UI and Python/C++ SDK for rapid solution building
- Digital twin simulation for layout, collision checking, and iterative debugging
- One‑click AI perception skill creation (object detection and pose estimation) from CAD models using synthetic data
- Automated motion‑planning that produces collision‑free trajectories with configurable speed, acceleration, and joint limits
- Real‑time sensor‑based control skills for force, torque, and distance thresholds across multiple robot brands
- IntrinsicOS runs containerized workloads on both cloud and on‑premise industrial PCs, ensuring consistent execution
- Built‑in cloud services for authentication, encryption, ML pipelines, and remote monitoring of deployed solutions