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Case studies and clients

How we build data-driven custom solutions for companies to boost their KPI's.

Medium Earth Orbit satellite monitoring solution for the gateways and their customers' terminals by predicting weather-related outages in minutes.

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Applying Predictive Maintenance with Machine Learning approach, we developed a solution to detect potentially hazardous scenarios for an oil well company.

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Proven track record

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Expertise

Computer vision

Computer vision

We use deep learning and other state-of-the-art techniques to gain valuable insights from images and videos.

  • Object detection and tracking
  • Search of visually similar images
  • Person pose and gaze estimation
Natural language processing

Natural language processing

Based on text inputs we use machine learning models to understand content and unstructured information.

  • Sentiment analysis
  • Entity recognition
  • Chatbots
Forecasting models

Forecasting models

We leverage time series analysis and anomaly detection to accurately predict future events.

  • Pricing automation and optimization
  • Customer profiling and segmentation
  • Recommender systems

Learn more in our blog

Wondering what else we have been doing? Check out our latest blog posts.

How Machine Learning is reshaping Price Optimization

How Machine Learning is reshaping Price Optimization

An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.

Javier CoutoJavier Couto
Machine learning edge devices: benchmark report

Machine learning edge devices: benchmark report

Jetson Nano, Google Coral or Raspberry Pi? In this report, we benchmarked five novel edge devices using popular machine learning frameworks. See here the performance outcomes!

Juan Pablo GonzalezJuan Pablo Gonzalez
Real estate and machine learning: takeaways from Inman Connect 2020

Real estate and machine learning: takeaways from Inman Connect 2020

Inman Connect 2020 recap from the Machine Learning perspective: the actual real estate landscape, and future opportunities. Learn how iBuyers changed the real estate industry and how to use your available data.

Martin FagioliMartin Fagioli
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Get in touch

Do you have a project in mind?
We'd love to e-meet you!

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Contact

  • hello@tryolabs.com
  • Phone: (+598) 2716 8997
  • US: 44 Montgomery St,
    San Francisco, CA
  • Luxembourg: 9 rue du Laboratoire
  • Uruguay: Rambla Gandhi 655/701,
    Montevideo
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