SandBox Semiconductor

We build software solutions to automate process development for semiconductor manufacturing.

[SandBox Semiconductor @SandBoxSemi]

2️⃣ Robust Visualization Capabilities ➡ SandBox Studio™ AI enables process engineers to leverage their experience and intuition by visualizing n-dimensional process spaces with its Quilt® process mapping capabilities.

[SandBox Semiconductor @SandBoxSemi]

We built SandBox Studio™ AI as a toolkit to address a number of the challenges in AI / ML adoption for process engineering teams. See @SemiEngineering's recent article about continued AI / ML adoption within semiconductor fabs.

[Semiconductor Engineering @SemiEngineering]

Fabs Begin Ramping Up Machine Learning
New models can debug processes and boost yield, but there are lots of caveats
https://t.co/mvbp5EWwKP

#semiconductor #fabs #MachineLearning #ML #semiconductormanufacturing #yield #AI

[SandBox Semiconductor @SandBoxSemi]

At its core, SandBox Studio™ AI provides two key value drivers for process engineers:

1️⃣ Physics-based ➡ with a fundamentally physical approach, SandBox Studio™ AI accurately predicts process behavior amidst process noise.

[SandBox Semiconductor @SandBoxSemi]

Our CEO chats with @SiliconSemi about SandBox, early exposure to the #semiconductor industry, goals for the future, and education and talent development for the industry as a whole.

https://t.co/uKt5l8eXXT

#processdevelopment #semiconductormanufacturing #AI

[SandBox Semiconductor @SandBoxSemi]

Thanks to @SemiWiki for featuring Meghali Chopra in their CEO Interviews series. Read their Q&A about Sandbox’s approach, recent updates, and mission and vision.

https://t.co/UegYryoGon
#semconductors #processdevelopment #semiconductormanufacturing #AI

[SandBox Semiconductor @SandBoxSemi]

@SiliconSemi A few of the topics covered in the video:
➡️How physics-enabled AI provides real-time process optimization feedback
➡️How more accurate, faster models can uncover opportunities for recipes previously not thought to be possible
➡️How AI and process engineers can work together

[SandBox Semiconductor @SandBoxSemi]

We got to talk to @SiliconSemi about how SandBox got started and our solutions for #semiconductor manufacturing process development.

https://t.co/xZX2mMar0A

[SandBox Semiconductor @SandBoxSemi]

The SandBox team is in Portland this week at #AVS69. If you’re attending be sure to add this talk to your calendar on Thursday at 3:40 pm: Rapid Optimization of Gap-Fill Recipes Using Machine Learning
@AVS_Members

https://t.co/4mQYDWmPQU

[SandBox Semiconductor @SandBoxSemi]

Our physics-based AI suite turns “tribal knowledge” into a more predictable streamlined approach to recipe development that fits within the necessary parameters while simultaneously achieving the required CD and across the wafer variation.
https://t.co/lWryyMSykn

[SandBox Semiconductor @SandBoxSemi]

“Smarter manufacturing will help to improve the efficiency, quality, and sustainability of the production process optimising the performance and yield of the chips by adjusting process parameters and equipment settings in real time.”
@new_electronics
https://t.co/031lxILPpN

[SandBox Semiconductor @SandBoxSemi]

Thanks for including us as a Manufacturing Maverick Best Texas Start-up. We appreciate the innovative and entrepreneurial spirit of Austin and it’s been a great community to call home base. Congrats to the others on this great, diverse list. https://t.co/8Q83ZaEBPT

[SandBox Semiconductor @SandBoxSemi]

We met w/ @CounterPointTR to discuss how complexities related to the chip manufacturing process are increasing with foundry process node advancements. Here is what Sr. Research Analyst
@ashwath_rao80 had to say:

[SandBox Semiconductor @SandBoxSemi]

Great read from @MaxMaxfield at @EEJournalTFM on advanced chip manufacturing processes. He breaks down our SandBox Studio™ AI platform and why these tools are increasingly important for processor engineers working on the most complex and advanced chips.

https://t.co/gFydfKqCQk

[SandBox Semiconductor @SandBoxSemi]

We talked w/ @SemiEngineering about about how #AI and #ML is being used in fabs. With our AI-enabled tools we can optimize the models for predictions across the process space, ultimately making process development up to 8x faster.

https://t.co/ltDC2YOv5Y

[SandBox Semiconductor @SandBoxSemi]

Thanks @ashwath_rao80 & the @CounterPointTR team for sharing their insights on how SandBox Studio AI™ is impacting the chip manufacturing process.

[SandBox Semiconductor @SandBoxSemi]

Thanks @nick_flaherty @eeNewsEurope for talking with our CEO and co-founder about some of the #semiconductor industry’s biggest challenges and our future goals for making improvements across the value chain.

https://t.co/tdJ90tPqoA

[SandBox Semiconductor @SandBoxSemi]

We announced today new capabilities and tools for SandBox Studio™ AI to accelerate and manage image processing analysis and speed up innovation in advanced chips. Weave™ addresses the important hybrid metrology challenge :
https://t.co/eXXpOiBWV8

[SandBox Semiconductor @SandBoxSemi]

Never heard of SandBox? Here's what we do: SandBox Studio™ AI enables process engineers to build their own high accuracy physics-based and machine learning etch models to rapidly predict process outcomes and accelerate recipe development.
https://t.co/cTefhr5sQv

[SandBox Semiconductor @SandBoxSemi]

Process engineering teams who use Sandbox Studio™ AI can reduce process development time by up to 75% over traditional approaches. Contact us to find out more.

[SandBox Semiconductor @SandBoxSemi]

Using a physics-based approach that efficiently applies AI to process development streamlines the pathway to optimal recipe creation. Our SandBox Studio™ AI platform reduces costs, helps you get to market faster, and enables new processes.
https://t.co/lWryyMSykn