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Your competition is leveraging ML.



State of the art machine learning solutions in Computer Vision, Natural Language, Optimizing and more.

Detection.
Prediction.
Recommendation.
Communication.
Automation.

And more.


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Gain new advantages with a team of PhD level professionals.
Accentage delivers unique solutions to your challenges.

Sample Projects.

Neural Machine Translation
A company offering a popular online editor used a rule-based grammatical error correction system for English in their online editor. The project goal was to replace the existing rule-based grammatical error correction system with one based on neural machine translation technology. The team handled all activities from R&D to model deployment.


Computer Vision
A fashion e-commerce firm was taking in about 2000 daily photographs of garments from their warehouse. The photos were initially processed manually by an overseas agency incurring a high unit cost. The project successfully delivered full automation and removed manual handling of photographs. In a follow on project, the workflow was automated so that photographs would be processed and stored automatically.

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Voice Assistant
An established telecom firm wanted a PoC in under a month followed by a first MVP in just three months. One goal was to showcase the MVP at CES in Las Vegas. The project was to develop a platform integrating an intelligent voice assistant with a hardware device allowing voice interaction using a wake word or press of a button.  The MVP integrates speech to text, intent parsing, and text to speech technology with a modular design, so that future skills (activities) can be quickly integrated.


Predictive Analytics: Search Engine Personalization
A major player in online images needed their search personalization system replaced as their service experienced a huge amount of disparity in posts. Personalization was critical to maintain user engagement and retention. The old system had to be replaced with a new system to serve a user base of nearly 1M users, 7M+ posts, 400M+ data points. A new system was deployed in Docker containers with separate GPUs for item-item recommender, user-item recommender, retraining the model and fine-tuning the model. The new system has been in production for 6 months without a single outage with end users reporting outstanding feedback.


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Your turn.

Contact Accentage for an initial conversation.
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  • Home
  • Media Automation
  • Real Estate Automation
  • Workflow Automation
  • Voice Automation
  • About
  • Contact Us
  • Call 800-548-2909