Case studies and clients
How we build data-driven custom solutions for companies to boost their KPI's.
Proven track record
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
Based on text inputs we use machine learning models to understand content and unstructured information.
- Sentiment analysis
- Entity recognition
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
An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.
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!
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.