Predict
BADAS
Put your own clips through BADAS and watch what it predicts.
Test your own clips
[ Industries · Developers and researchers ]
Build on the real world, already collected
Every leap in AI so far has run on data that was already lying around. There is no crawl of the physical world and no shortcut to making one: somebody has to drive the roads, for years, and keep what happened next attached to what was seen. That is what Empiric Earth has, and it is open to build on.
[ R&D use cases ]
How we help R&D teams innovate
01Training at scale
Training or fine-tuning on real-world driving at scale, rather than on generated approximations of it
02World models
Grounding a world model in physical reality, with outcomes attached rather than inferred
03Behaviour datasets
Building a dataset around one specific behaviour, found by what happens in the footage rather than by whatever anyone labelled it
04Local inference
Running a prediction model locally and building your own layer on top of it
05Evaluation
Evaluating against a published harness with category definitions fixed before the run
06Reproducibility
Publishing work others can actually reproduce, because the data and the benchmark definitions are reachable
07New domains
Taking motion prediction somewhere it has not been applied yet
[ R&D solutions ]Real-world intelligence
Real-world intelligence
and the models built on it
Local
BADAS-Open
Downloadable if you want something local to build against.
Build against it locallyCorpus
Atlas
Atlas is the corpus itself, searchable by what happens in it, with millions of curated driving videos and targeted collection when the thing you need is not in there yet.
Search the corpus by event[ Contact ]
How can we help you with your next breakthrough?
Tell us more about what you are building.
[ Enquiry ]
We reply within one business day.