(Page 2) Database of Robotics Companies

Q: What is the purpose of this database?

Our Companies Database is a user-friendly database to search, filter, and discover companies around the world by their industry, size, funding stage, and more.

Q: How often is data of companies updated?

Data on companies in this database updates once every few weeks (on average once a month).

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Filter and search through our comprehensive database of Robotics companies.

Robotics

Organization	Founded	Size
Mbodi AI Industrial Robots that Learn and Operate Like Humans	2024	6 - 10 employees
Weave Robotics Personal robots for the home--that ship in 2025	2024	6 - 10 employees
Corvus Robotics Autonomous drones to help warehouses scan inventory.	2017	11 - 50 employees
Saphira AI The Enablement Layer for Physical AI	2024	6 - 10 employees
Bear Flag Robotics Autonomous driving technology for farm tractors.	-	6 - 10 employees
Albacore Inc. Drone submarines	2025	11 - 50 employees
Orangewood Labs Orangewood Labs makes worlds most affordable and easiest AI robot arms	2017	11 - 50 employees
Splash Inc. Autonomous patrol-boats for National Security	2024	6 - 10 employees
Sola Copilot for Robotic Process Automation	2023	1 - 5 employees
Cerulion Open source operating system for robots	2024	1 - 5 employees
Cyberdontics Automated tooth cutting for dentists using imaging, AI and robotics	2020	11 - 50 employees
Voltair Autonomous Drones for Earth Observation	2025	1 - 5 employees
SBX Robotics Synthetic data for better vision.	2020	1 - 5 employees
Beanstalk Great tasting produce, farmed around the corner	-	11 - 50 employees
Impossible Metals Underwater robotic vehicles that collect battery metals responsibly	2020	11 - 50 employees
Segments.ai Build better computer vision models by building better datasets	2020	6 - 10 employees
Starsky Robotics Driverless Trucks, for real.	-	11 - 50 employees
Vooma Automation platform for logistics	2022	11 - 50 employees
Abundant Hello! 👋We are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI.We specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training.By the numbers: • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises • Billions of training tokens generated each month, 2x month over month • Exclusive, global network of over 500 domain expertsWe believe humans are inherently creative, and thrive by pushing the frontier.We are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods.Based in San Francisco, CA. We enjoy good food and good company.-- more info below --Abundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.Our founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers.Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before.What happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”.Abundant works with the most advanced AI labs and startups, as well as F500 enterprises.	2024	6 - 10 employees
Mighty Buildings 3D printing beautiful, high-quality, and sustainable homes.	2017	51 - 250 employees