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Grand Vision

Grand Vision

Niche Robots Or Humanoids?

Traditional approach has governed to 100s of niche robot existing for very specific tasks, normally offered by 100s of vendors, each with their own separate system, specifications, requirements, and procedures. As a results, end users (factory, warehouse, hospital, and industrial facility operators) cannot afford CAPEX, engineering resources, and time to allocate to 10s of vendors for full automation of each facility’s tasks. As a result, majority of the industrial facilities are still operated by manual labor, because current robotization approach is SLOW, EXPENSIVE, and HARD. The rise of Gen-AI and the quest for practical AI applications have thrust humanoid robots into the spotlight. Despite their impressive engineering, humanoids face significant challenges in industrial settings:

Versatility vs. Specialization

Creating a robot that can perform every physical task is nearly impossible, as humans rely on various machines for daily activities. Humanoids would still need tools and equipment, like forklifts, to complete tasks. Additionally, when robots interact with other machines, each combination must be certified for safety, complicating the integration of humanoids into existing systems unless they operate in areas without humans or regulations evolve.

Efficiency and Task Performance

A single robot designed to perform thousands of tasks cannot excel at all of them. For example, the energy and speed at which a humanoid moves a carton versus a wheeled platform highlight inefficiencies. The demand for high throughput and cost sensitivity in many industries makes it difficult for one humanoid to match the performance and efficiency of specialized machines.


Ultimately, the feasibility of humanoid robots in industrial applications hinges on cost-effectiveness. Can humanoids match or surpass the output of specialized robots at a competitive price?

One System to Offer 10s of Autonomous Robots

Industrial applications require highly specialized robots to keep efficiency high, but the current multi-vendor approach is not also feasible for end users. End-Users demand Fast, Affordable, and Easy robotization, a process that does not require any CAPEX investment, does not require much engineering effort, and can be completed in a few days, as well as a process that can be handled by one company. Starnus has created and is ready to offer this to the market. Starnus has formed the world’s first end-to-end Autonomous Robotization system, which has three main pillars:


Users can build their own facility using drag-and-drop tools in Starnus' simulator platform, input their requirements, choose a robot, simulate the robot in their own facility, and check productivity, expenses, and saving metrics in seconds.


Starnus has developed the world's first Gen-AI-based software connectivity platform for robots, which reduces the integration time of robots from several months, requiring tens of thousands of dollars of investment and requiring a lot of effort from the client's IT department to a few days, without any engineering effort, and for just a few hundred dollars.


Starnus has invented a unique modular 2-step production method for robots that enables Starnus to produce many types of robots with a limited set of modules (just like Lego). As a result, Starnus has created the world’s 1st extremely sustainable and circular robotization system, customers can rent robots with low and fixed prices with flexible and even short-term renting options, because when they return robots to Starnus, the robot is transformed into a new type of robot for a new client in less than an hour. This cross-client usage of modules, allows Starnus to keep renting prices low and fixed, even for a few months of renting terms.

Hire Robots in Days!

Our Aim

Starnus intends to expand its end-to-end robotics system and add numerous autonomous robotization applications to its system by partnering with more robotics companies.

Our Grand Vision

Our Grand Vision is to offer 10s of autonomous robot types by 2030 to perform thousands of industrial tasks, and to deploy them rapidly, affordably, and easily, so that everyone can "Hire Robots in Days".