The deployment platform
for robotics.
Your company's agentic ML engineer specialized in robotics policy deployment.
At the edge, every bit, ounce, watt matters.
While you focus on the hardware, the data, and picking the smartest base model, Haptic Agent optimizes your policy for real-world deployments. We carry the recipes that work for robotics and run them on your AWS, GCP, or Lambda, or our robotics-first infra.
OpenVLA-7B · compression path
Model size
14.0 GB
Accuracy (LIBERO-Spatial)
97.0%
model
FP16
Your fleet's ML systems engineer.
Designed for you or your agents to work with.
Picks the recipes.
Quantization, pruning, distillation, hardware-specific compilation. We carry the recipes that work for your model and your chip.
Picks promising runs, babysits, loops to your goal.
Knows the recipes that work for your model and chip. Kills bad runs early to save GPU. Tries a new config until it hits your goal. Your cloud or ours.
Carries every lesson forward.
Each job teaches the next, and the platform compounds. We learn from new embodiments, tasks, and techniques — yours and the wider industry's. Your next deployment starts smarter than your last.
We build in public.
We build in the open and are open-source first, so the best way to get to know us is to read our tech blog or check out our GitHub. Everything we learn from our customers or problems goes back into the blog and the tools we ship. We'd love to hear from you.
The Hardest Part of Shrinking a Robotics Model
Shrinking Pi0.5 by 2.9× on disk and 2.8× faster. The paper gives you the recipe; the pipeline tax is what makes it hard in production.
02 APR 2026The Software-First Robotics Founder
Software-first founders are entering robotics with different assumptions, different problems, and different expectations. Here is what we are hearing.
06 MAR 2026There Is Plenty of Room (and Pain!) in Physical AI Research
To inspire builders, here is a list of problems that keep coming up again and again in physical AI research papers.