Get Started with Watchful
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Iterative, feedback-driven workflow let’s you know when you are “done” labeling
Engaging and rewarding workflow that gives users a sense of direction and progress towards labeling goal
Integrates with ETL tooling to automatically generate training sets on a schedule
Remove the data labeling bottleneck and accelerate ML adoption in your organization
Rapidly refresh models in production and respond to change in your environments
Empower your team to rapidly prototype, test, and develop without painful labeling efforts
Turn calories into compute with a radically efficient way to distill and scale domain expertise
Fun and engaging workflow that drives users to a labeling score instead of some (often arbitrary) number of labeled samples
Active learning workflow learns from user actions and inputs to suggest the most impactful heuristics
The world changes, quickly. Watchful’s programmatic labeling interface enables organizations to rapidly deploy new models in production by automating the labeling process and removing human-produced labels from the critical path. Generate new labels as a part of an existing ETL pipeline and/or update existing datasets by simply developing heuristics.
With more regulatory and compliance pressure to produce explainable models, developing observability and explainability into the training sets that fuel machine learning models has become a requirement. Watchful makes this easy with inherently observable and explainable statistical techniques that make explainability a priority
Drastically increase your Data Scientists productivity with an engaging, metrics-driven workflow that puts Data Scientists in the driver seat to build their own training data sets in hours or days instead of weeks or months. Rapidly prototype and test new ideas to build a business case while simultaneously improving the performance and longevity of your models in production
Bring transformative, impactful AI applications to more areas of your business by removing one of the biggest bottlenecks, the data. Tackle more complex and otherwise impossible projects to accelerate your AI transformation today.
