Top Modal Alternatives
Labelbox
labelbox.com
Labelbox is a data-centric AI platform trusted by world-class organizations to quickly and efficiently launch their initiatives with LLMS, generative AI, and more. Whether your goal is to build AI at low costs and high velocity or use AI technology to automate tasks and find insights, Labelbox can d...
V7
v7labs.com
V7 offers a complete toolkit for your training data engine: Automated labeling tools, models in the loop, annotation services, and a powerful API. The world's best deep learning teams use V7 Darwin to orchestrate their data through models and humans to generate ground truth.
Galileo AI
usegalileo.ai
Galileo AI is revolutionizing the way UI design is done in the age of generative AI. Galileo's state-of-the-art AI creates high-quality UI designs from natural language, empowering people to design beyond their imagination.
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...
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...
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...
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...