Top Galileo AI Alternatives
Labelbox
labelbox.com
Labelbox is a data-centric AI platform that allows users to build and utilize AI applications. The platform provides the ability to train and fine-tune models, as well as automate tasks using LLMs (Labelbox Machine Learning Models). In terms of functionality, Labelbox utilizes cookies to enhance th...
V7
v7labs.com
V7 is an AI data engine designed for computer vision and generative AI applications. The platform provides an infrastructure for enterprise training data that includes labeling, workflows, datasets, and has a feature for human-in-the-loop training. It offers multiple annotation properties to improv...
Modal
modal.com
Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.
Lightly AI
lightly.ai
Lightly helps machine learning teams to build better models through better data. It allows companies to select the right data for model training by using active learning. Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. * Balance yo...
Dataloop
dataloop.ai
Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Dataloop's platform is meticulously crafted to cater to developers at the heart of the AI development process, making it simpler and more intuitive to work with data and AI models. D...
Encord
encord.com
Encord is the end-to-end platform to unlock AI from your data. Safely develop, test and deploy predictive and generative AI systems at scale to unlock the value of machine learning. Create high quality training data, leverage active learning pipelines, assess model quality, fine tune models and more...
Cleanlab
cleanlab.ai
Pioneered at MIT and proven at Fortune 500 companies, Cleanlab provides the world's most popular Data-Centric AI software. Most AI and Analytics are impaired by data issues (data entry errors, mislabeling, outliers, ambiguity, near duplicates, data drift, low-quality or unsafe content, etc); Cleanl...