BaseFrame: AI agents for hardware design that catch risks and tradeoffs early

BaseFrame

AI agents for hardware design that catch risks and tradeoffs early

Active

AI agents for hardware design that catch risks and tradeoffs early

BaseFrame helps hardware teams build more efficiently by identifying design gaps, data-driven tradeoffs, and component availability issues before the first board is spun, catching fatal mistakes while they are still cheap to fix. We want to speed-up hardware teams so that they can build the cool innovations they are trying to bring to life with fewer bottlenecks. The current hardware workflow is a broken sequence of handoffs: you finalize a design and send it to procurement, only to discover weeks later that there was an oversight or a critical component has a massive lead time. How It Works • Project Scoping: Specialized AI agents ask you questions to scope out the project and uncover gaps, drilling down with follow up questions if needed or handing off to the next agent when sufficient. It provides suggestions and recommendations for each question, making sure we have thought about everything early on. • Validations: Once the questions are answered, we consolidate them into a document and run parallel agents to once again find issues, contradictions, or areas of improvement. • BOM Generation: Our AI splits the scope into a block diagram and generates a Bill of Materials (BOM) for each by parsing diagrams and tables from datasheets, getting price and lead time data from top vendors, and internal vendor communications. • Versioning & Parallel Agents: You can branch designs and use parallel agents to simulate multiple architectures simultaneously, revealing quantitative tradeoffs in cost, price, and lead times We met during our first week of college and became roommates at Berkeley, and are excited to make physical innovation easier!

Active Founders

Vaibhav Agrawal

Founder

Co-Founder of BaseFrame (W26). Previously a Fellow at Sutter Hill Ventures. Worked on the data ingestion infrastructure at Sigma Computing and remote agents orchestration and containerization at Augment Code.

Vaibhav Agrawal

Founder

Anshul Paul

Founder

Co-Founder and CEO of BaseFrame (W26). Previously first full-time employee and founding engineer at HappyRobot, where I worked on omni-channel AI communication, AI evals, and enterprise system integrations. Helped grow company to 100+ in size and Seed to Series B. Majored in EECS and Business at UC Berkeley M.E.T.

Anshul Paul

Founder

Company Launches

BaseFrame: Bring confidence and clarity to your hardware designs

See original launch post

TL;DR: BaseFrame helps hardware teams build more efficiently by identifying design gaps, data-driven tradeoffs, and component availability issues before the first board is spun, catching fatal mistakes while they are still cheap to fix.

https://youtu.be/ZgsWj-y5hQY

Hey All! We’re Anshul and Vaibhav from BaseFrame.

Why:

We want to speed-up hardware teams so that they can build the cool innovations they are trying to bring to life with fewer bottlenecks

The current hardware workflow is a broken sequence of handoffs: you finalize a design and send it to procurement, only to discover weeks later that there was an oversight or a critical component has a massive lead time.

How It Works

Project Scoping: Specialized AI agents ask you questions to scope out the project and uncover gaps, drilling down with follow up questions if needed or handing off to the next agent when sufficient. It provides suggestions and recommendations for each question, making sure we have thought about everything early on.
Validations: Once the questions are answered, we consolidate them into a document and run parallel agents to once again find issues, contradictions, or areas of improvement.
BOM Generation: Our AI splits the scope into a block diagram and generates a Bill of Materials (BOM) for each by parsing diagrams and tables from datasheets, getting price and lead time data from top vendors, and internal vendor communications.
Versioning & Parallel Agents: You can branch designs and use parallel agents to simulate multiple architectures simultaneously, revealing quantitative tradeoffs in cost, price, and lead times

About us:

We met during our first week of college and became roommates at Berkeley

Anshul was the founding engineer at HappyRobot and worked on the core omni-channel AI communications features, AI observability and evals, and white glove integrations for enterprise customers.

Vaibhav was a Sutter Hill Venture fellow. He worked on the data ingestion infrastructure at Sigma Computing and worked on remote agent orchestration and containerization for Augment Code.

We’d love to get in touch!

Email: team@baseframe.co

Website: https://baseframe.co

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