Alternatives to Twolabs

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

Autonomous robots that patrol data center aisles 24/7, using thermal, visual, and acoustic sensing to catch failures before they cost you uptime.

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

Autonomous greenhouse robots for harvesting, trimming, and de-leafing

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

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

Autonomous underwater vehicles paired with a cloud data platform for repeatable, high-resolution seabed intelligence.

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 data layer for Physical AI: log, query, transform, visualize, and train multimodal robotics data on one toolchain.

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

Vision Lab produces expert-validated action labels and hand pose data for robot manipulation policies.

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

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

Multimodal real-world human data for training embodied AI agents

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

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

Wind- and solar-powered autonomous USVs for maritime ISR, anti-submarine warfare, seafloor mapping, and metocean survey.

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

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

Turnkey robotic parcel sorting and stacking systems for high-volume last-mile warehouses, running on the AmbiOS physical AI platform.

Physical AI infrastructure for building, testing, and operating autonomous vehicles, drones, trucks, and industrial machines.

Boston Dynamics Spot: legged inspection robot for industrial and hazardous sites.

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.

Physical AI platform whose Newton world model fuses sensor, video, and time-series data into real-time operational intelligence.

Open-source SDK that streams depth, RGB, and IMU data from RealSense stereo cameras.

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

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

Brumby (formerly GrazeMate) is autonomous drone mustering and daily aerial pasture monitoring for rotational cattle grazing.