Business value of autonomous systems

Autonomous systems can make industrial control solutions more adaptable to changing environments, tackle complex processes, and combine human and machine intelligence.

Maximize throughput

Dynamically adapt to multiple and changing optimization goals to maximize the throughput of many processes.

Reduce operation costs

Reduce operation costs by improving process efficiency and reducing machine downtime through autonomous machine calibration and optimization.

Enable new levels of automation

Intelligent control systems can tackle industrial processes that were previously too dynamic and complex to automate.

Manage resources efficiently

Make your people more efficient and your industrial processes more sustainable.

Build intelligent industrial control systems

Program your unique expertise into AI models that deliver impactful results for industrial applications.

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Manufacturing Chemical processing Logistics and supply chain Energy systems Mining

Manufacturing use cases

Explore examples from the manufacturing sector to learn how autonomous solutions are streamlining costs while improving production.

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Business problem

The variation in raw materials, temperature, and humidity can create inconsistent products.

Current limitations

Manual inspection of products that happen periodically create wasted, out-of-spec products and raw materials.

Project Bonsai solution

Optimize production at each stage of extrusion by taking into account all the variables to reduce out of spec product.

Business problem

Machine calibration was a manual, time intensive process, often performed by an out-of-town expert, that requires machine downtime.

Current limitations

A manual process requiring expert human operators averaging 20–25 iterative steps over 2+ hours.

Project Bonsai solution

Achieved 2 micron precision at an average of 4–5 iterative steps over 13 seconds. System achieved superhuman precision (<1 micron) in ~10 iterative steps.

Business problem

Silicon epitaxy is grown in thermal reactors which must be tightly controlled for uniform heating. Different phases of the process require different heat lamp settings to maintain optimal conditions in the reactor (called a recipe).

Current limitations

PID controller provides error correction in order to manage consistent temperature. PID singularly focused on heat distribution and doesn’t consider optimization goals of speed or energy use.

Project Bonsai solution

Minimized time and cost of growing wafer substrate above a target quality consistency.

Business problem

Some repetitive robotic tasks require complex learned behaviors (such as grasping and stacking) which are extremely difficult to program and automate.

Current limitations

Extensive programming and testing applied to limited scenarios that require specialized skills and time-consuming process to automate only subset of tasks.

Project Bonsai solution

Established a new benchmark for programming industrial control systems. The Project Bonsai machine teaching technique imported existing controls, then trained learned sub-concepts separately, and finally trained the overall “grasp and stack” task that performed 45x faster.


More resources for autonomous systems

Bring autonomy to your use case

Ready to bring intelligence and autonomy to your industrial control systems? Our Project Bonsai team will help you determine how autonomous systems will power your business.

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