Data-Centric Data Labeling Done Right
Holistically explore, classify, annotate and validate any unique dataset to power your AI initiatives and business processes.
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Modern, cost-effective data labeling at scale. This is the Watchful way.
Give any user within your organization the ability to use Watchful on their local machine or in a remote environment
Connecting to the Watchful Hub enables organization-wide collaboration, or work can remain on a local machine.
Connect Watchful Hub to any cloud object storage infrastructure to import and export data as well as create a communication layer for your MLOps pipelines.
Automate your machine learning iteration to keep your models up-to-date.
Watchful’s easy-to-use data labeling solution gives you the needed control to quickly create better datasets.
Search
Explore your data with Watchful's robust querying language; review results fast and in real-time.
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Suggestion
As you work, Watchful learns and suggests the most impactful sources of signal for programmatically labeling your data.
Learn moreInteractive Data Labeling
Label a small subset of your data to estimate some initial statistical signals for each class while also creating a validation set to check Watchful's accuracy.
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Modeling
Watchful's label model combines learned statistical signals and hinters to apply probabilistic labels to your dataset; rather than starting small and growing the labeled set of data manually, the full dataset is continuously labeled and validated as you work.
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Watchful for Any Industry
Use Watchful for manufacturing, retail, finance, life sciences, and more.
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“Watchful is the cost of a low-level analyst; eliminates or substantially reduces the need and resources for hand-labeling, QA, model development and maintenance, and ML ops; and we couldn’t afford nor access Watchful’s level of expertise otherwise.”
The next generation of data labeling is now, with Watchful!
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