NomadicML Joins The Autoware Foundation!
A yound team of pioneers in Visual Reasoning AI Agents for Autonomous Systems, NomadicML, has joined Autoware Foundation as an industry member!
NomadicML brings deep expertise in machine learning infrastructure — powering the processing of millions of hours of driving footage to enable scalable, end-to-end AI development. Their vision strongly aligns with Autoware’s mission, as they see tremendous synergy with our open-source approach to autonomous driving.
As part of their membership, they commit to:
🔹 Integrate the NomadicML Platform and offer utility for intelligent data curation to automatically identify valuable training data
🔹 Provide dedicated resources and consultation to support Autoware’s AI-first, end-to-end model development
⚙️ In addition, at later stages of their engagement, NomadicML will help design and implement modern MLOps pipelines for efficient large-scale model training, enabling faster iteration and scalability for Autoware’s AI-first future.
Here’s a good example of how NomadicML can be useful to the community:
📝 In a recent blog post, they demonstrated how their two-step pipeline transforms the open-source Honda Driving Dataset (HDD) from raw video into structured, training-ready datasets. This showcases how the NomadicML Platform can streamline data curation and accelerate model development.
🔗 Read the full post here: Efficiently Curating Video Driving Datasets using the NomadicML Platform
NomadicML will initially participate in the Privately Owned Vehicle Working Group, while also exploring opportunities to contribute across other working groups as their journey with Autoware evolves.
🎉 We’re excited to have NomadicML on board and look forward to accelerating Autoware’s transition to an AI-first future together! 🚀💡
Visit NomadicML’s website to learn more about them ⤵️
