(Page 70) Database of 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).

Q: I've discovered an outdated/inaccurate company profile here. How do I report it?

If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the <a href="contact" style="color:black; border-bottom:2px dotted #999999;">contact page here</a> — our team will have it rectified within the day.<br />In normal instances, jobs older than 30 days are automatically flagged as 'expired' by the system.

Filter and search through our comprehensive database of companies.

Organization	Founded	Size
Buildt Fully Agentic SWE	2022	11 - 50 employees
Arpari Multibank treasury management	2022	6 - 10 employees
Mable First personalized migraine clinic using genetics and telehealth.	2019	6 - 10 employees
Driver AI Context for Codebases	2023	11 - 50 employees
Seabound Carbon capture equipment for ships	2021	11 - 50 employees
Northwind Tele-dermatology for chronic skin conditions	2021	6 - 10 employees
Intryc Intryc uses AI to automate quality assurance for customer support	2023	11 - 50 employees
Bite Ninja Remote labor for restaurants	2021	11 - 50 employees
Flowly Our mobile app reduces chronic pain for 100 million Americans.	2019	1 - 5 employees
Reclaim Protocol, Questbook User data verification across Employment, Academic Creds, Retail…	2021	11 - 50 employees
HyperGlue Business intelligence on text	2020	1 - 5 employees
Gridware Protecting the grid today, preparing the grid for tomorrow	2020	51 - 250 employees
Accept.inc (formerly BoardRE) BoardRE is a new type of mortgage company that upgrades any offer…	-	51 - 250 employees
Meadow Point of Sale and Compliance SaaS for Cannabis Dispensaries	2014	11 - 50 employees
Indee Labs Enabling T cell immunotherapy discovery, development and manufacturing	2015	1 - 5 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
Perfekto Grocery subscription service against food waste in Latam	2021	11 - 50 employees
Quickchat Conversation Design platform to build Al Assistants tailored to your…	2018	6 - 10 employees
Windsor AI Powered Personalized Videos	2018	1 - 5 employees
Pabio Sales AI that helps revenue teams move faster and close more deals.	2020	1 - 5 employees