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Feature
Ocular AI
Ocular AI Data and Analytics
S
Sepal AI Data and Analytics
Rating
3.2
4.2
Reviews 6 11
Category Data and Analytics Data and Analytics
Description

Ocular AI is the data annotation engine for Generative AI, Computer Vision, and Enterprise AI models. We help you transform unstructured, multi-modal data into golden datasets to power generative AI, frontier models, and computer vision. Ocular Foundry is the most intuitive, data-centric, and fastest platform that lets you label, annotate, version, and deploy your data for training models. It also orchestrates your annotation jobs, improving collaboration with members and annotators. With Ocular Bolt, shift from humans in the loop to experts in the loop to supercharge your data labeling and annotation projects. Our global expert workforce ensures fast, accurate results, no matter the scale or complexity of your data. Companies spend huge amounts on training data, but Foundry and Bolt are AI-native tools that lower costs, reduce manual effort, and accelerate high-quality data collection. We’re replacing outdated, clunky, and expensive data software!

Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI. We partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do. We’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable. Sepal AI was founded in 2024 by engineers and operators from Vercel and Turing. We went through Y Combinator, raised several million dollars from leading investors, and already count multiple Fortune 500s and top AI research labs as paying customers.

Website https://useocular.com https://www.sepalai.com
Positives
"Great tool! Exactly what we needed for our workflow."
Myra Lockman - 4/5
"Easy onboarding process. Everyone picked it up quickly."
Prof. Jarret Brown - 5/5
Negatives
"Customer support was slow to respond to our issues."
Oleta Littel Sr. - 1/5
"Not quite what we expected. Lacking some key features."
Damon Steuber - 1/5
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