Intelligence for the real world
Joined February 2026
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You can't dump terabytes of robotics data onto a laptop and point an agent at it, but that’s what we do with most smaller shapes of data
We made working with physical data as easy as working with CSV files.
Today, we are launching Interlatent Dataroom
Interlatent retweeted
Annotating and processing 15k episodes (5.7+ days, 200+ tasks) of open-source robot eval datasets containing failures
For safe deployment, we must cheaply understand failures and unexpected behavior
We are moving on from hosted infrastructure and wanted to share our work for everybody to bolster the future of robotics
from independent tinkerers to small teams building in their garage, we support you.
For a sneak peak of our new quest, go to
interlatent.com
Interlatent retweeted
We will be slowly opensourcing our entire robotics deployment infrastructure on our open source repo
we realized that a full-stack platform for robotics is best kept open for teams to integrate and build upon
and that doing this is most aligned with our mission of spreading physical AI
github.com/interlatent/inter…
We are in the wild west of autonomous Robots
We interviewed researchers from NVIDIA, Tesla, Deepmind, AGIBOT, Allen Institute
Along with factory managers and independent researchers
To map out what the global field looks like now and where it's headed
Here's what we found.
thank you to @DJiafei @ChipHaze @aryanmadhaverma @saba_khalilnaji @avisingh599 Asjad and everyone who contributed.
our platform spins up on-demand cloud GPUs for you to run inference and record data
Our v0 includes cloud inference on huggingface models on @LeRobotHF's SO-101 and @i2rt_robotics's YAMs
We will be including more robots onto the sdk in the coming days
Interlatent retweeted
first forward deployment at @almond_robotics
cloud inference and evals working through interlatent on Axol
super powerful robot, first time i felt like a robot could hurt me