Ad marketing agencies aim to increase marketing conversions by sending targeted ads to specific users.
A leading web based ad agency and notification company needed to develop a system that would understand user interests, cluster users into segments, predict ad copy, and select a device and time for engaging the user.


The data they were able to collect didn’t allow them to identify all of the features needed and didn’t process it correctly to predict the best outcomes.

The Solution

Fusemachines created and deployed a neural network based factorization model that trains itself on live data and tunes itself automatically multiple times a day based on live performance. Fusemachines also developed critical data infrastructure for their ML pipeline reducing the time and resources needed to train models, iterate segments and improve ROI.

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A web platform that focuses on providing leadership coaching to managers by using feedback from employees regardless of where they’re located.

Fusemachines made it easy for them to scale their team on demand.

AI to be reproducible, accountable, collaborative, and continuously delivered

Fusemachines saved Dotscience $48,000 annually per engineer, enabling Dotscience to confidently take their product to market.

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