Our highly skilled and experienced AI-enabled Digital Workforce enables your organization to be more productive, with a better employee experience and improved customer satisfaction.
Access industry benchmarks, latest innovations, and automation know-how in one centralized learning nexus, continually enriched by the WorkFusion community
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Get steady improvements with network effects
As Digital Workers learn on the job, the WorkFusion Network accumulates knowledge, enabling all Network participants to share and improve, while still maintaining scrupulous security and data privacy. As part of the Network, Digital Workers receive continuous updates, resulting in higher accuracy and broader model coverage.
Benefit from the newest innovations
WorkFusion’s team of AI researchers keeps tabs on the state of the art so you don’t have to. WorkFusion customers can opt-in to adopting recommended improvements, which come with a full suite of testing and monitoring capabilities to ensure that updates perform well on their test data and continue to perform in production.
Set goals with industry benchmarking
WorkFusion Network aggregates performance results, allowing customers to compare their performance to industry benchmarks. This enables customers to answer questions like "How well is my Digital Worker doing compared to other Workers doing the same task at other companies?" or "Do I need to label more data and train my Digital Worker to perform at the industry standard or am I already there?"
Avoid 'cold start' problem with Solution Catalog
Discover and employ more Digital Workers with our Solution Catalog, a library of ready Digital Workers as well as their critical components, such as ML models, connectors, workflows, etc., available for you to build your own Digital Workers using the no-/low-code approach.
Want to see WorkFusion Network in action?
Request demo
Want to see WorkFusion Network in action?
Request demo
Your private data is protected
WorkFusion Network uses differential privacy and other innovative technologies to make sure your private data is protected at all times.
The data used for model training cannot be re-engineered.
