Applied Intuition
@AppliedInt
Applied Intuition is the physical AI company bringing intelligence to every moving machine on the planet.
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Our work with @dstlmod is shaping how the @BritishArmy can effectively deploy swarms of autonomous systems to deliver operational effect.
We led the Disrupter Group, bringing together Rowden, Evolve Dynamics and SAIF Autonomy to deliver this capability Test Bed in just a matter of months.
Learn more about our work:
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At this year’s Agentic AI Summit hosted by @BerkeleyRDI, our Chief Scientist, @Wei_ZHAN_ shared some of the cutting edge research he has been leading in the physical AI space.
As the industry races to deploy L2++ ADAS with imitation-learning-based E2E, Wei tackled a key question: what if end-to-end autonomy could be trained without imitation at all, relying only on reinforcement learning? An idea that runs against the current status quo.
Here are some of his insights
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Think big. That’s always been a driving motivator for us, and now we have a partner to match our ambition. Today, we’re proud to announce Applied Intuition’s strategic collaboration with HUMAIN to deploy physical AI across Saudi Arabia, starting with autonomous trucking. This is a major step toward our goal of making a billion machines intelligent.
Together, we will deploy thousands of autonomous trucks throughout key Saudi logistics corridors by 2030. This will make it the largest autonomous trucking network in the world, and our Self-Driving System and Vehicle OS technology will be the centerpiece of this collaboration with HUMAIN.
This is physical AI at national scale.
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Building the autonomy flywheel—data → sim / train / eval → insights— is incredibly hard, takes deep domain expertise and years to get right.
Dana brings a decade of Applied Intuition's infra, tooling, and data expertise into a single agentic platform to solve autonomy's hardest problems:
🔷 Curate datasets from petabytes of fleet data, across every domain
🔷 Reconstruct scenes with Gaussian splatting and run neural simulations
🔷 Augment behaviors with RL-trained agents and generate diverse sensor data with world models
🔷 Query results and build dashboards that turn every result into action
Our PM, Gautham Sholingar, gives a peek inside ⬇️
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