Alternatives to Trim

Applied AI research company building foundation models that let robots, drones, and industrial machines act in the physical world.

Rhoda AI builds video-predictive robot foundation models that learn heavy industrial manipulation tasks from a single human demo.

Physical Intelligence (π) builds vision-language-action robot foundation models — one generalist policy for any manipulation task.

Causal world model that simulates open-ended physical futures in real time, from your actions step by step.

Open-source Python SDK and CLI for training and deploying physical AI models — VLA and SLM — from managed cloud compute to real robot hardware.

Skild AI is building an omni-bodied robotic brain to control any robot for any physical task.

The first large-scale open V2V cooperative perception benchmark — 73 scenes, 12K frames, 16 models, from UCLA Mobility Lab.

Open-source Unreal Engine plugin giving computer vision researchers synthetic images with pixel-perfect ground truth.

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI models.

Raw radar data — real or synthetic — feeding end-to-end autonomous driving stacks through your world model.

Industrial robot manipulation platform that learns dexterous tasks from a single sentence and proves each skill with an auditable success rate.

Zeon Systems converts natural-language experiment prompts into simulated, robot-executed wet lab protocols.

License Nuro's proven L4 self-driving system for robotaxis, commercial fleets, and personal vehicles.

Mapless, vehicle-agnostic driving intelligence that scales autonomous driving from L2 to L4 by learning from data instead of relying on HD maps.

Open-source autonomous driving simulator built on code and protocols you can inspect, with Unreal Engine 5.5 and ROS2 integration.

Build-it-yourself open-source quadruped robot kits — Bittle dog, Nybble cat, and the new Quaddle — that you assemble and then program in block code, Python, or

Open-source simulated benchmark for language-conditioned, long-horizon robot manipulation from the University of Freiburg.

Open-core LiDAR SLAM for ROS 2: odometry, LIO, 3D SLAM and geo-referencing you can modify at the source level.

Tactile capture hardware that records touch-aware demonstrations for training dexterous robot policies.

The skill network for AI agents — encode expertise once, activate it autonomously, distribute it across agents.

BSD-licensed C++ libraries for SLAM, 3D vision, and sensor fusion, now at version 3.5.0.

Open source dev kit for AI-native robotics with leader-follower teleoperation.

Multimodal real-world human data for training embodied AI agents

Modular humanoid robot platform for builders collecting data, training skills, and deploying autonomous robots.