Essential website cookies are necessary to provide you with services available through the website, autosave your settings and preferences, and to enhance the performance and security of the website - you have the right not to accept them through you web browser's settings, but your access to some functionality and areas of our website may be restricted.
Analytics cookies: (our own and third-party : Google, HotJar) – you can accept these cookies below:
Marketing cookies (third-party cookies: Hubspot, Facebook, LinkedIn) – you can accept these cookies below:
AI helps businesses deliver goods and services more efficiently by continuously optimizing processes and resources, improving quality and reliability, and preventing downtime needed for maintenance.
Making customer experience more tailored, more personalized and more convenient is a way to build their loyalty and increase generated revenue streams.
Automating routine tasks and processes allows employees to focus on higher level, business-critical activities while simultaneously reducing human error rate and improving cost efficiency.
Use computer vision tasks and techniques to derive actionable insights from images and other visual data.
Discover patterns, relationships and similarities in unstructured data using deep neural networks, associative structures and clustering methods.
Analyze historical data and real-time event streams and produce accurate predictions and forecasts to make better informed business decisions.
Recognize unusual patterns in the data that do not conform to the expected standards and identify point, contextual and collective anomalies.
We perform a comprehensive review of your data to ensure it meets the needed criteria before it can be used for machine learning.
After designing ML model applicable to your specific business case, it needs to be iteratively trained, tested and optimized based on the model’s output.
The trained packaged model is deployed to target production environments and integrated with data pipelines to process latest data and output valuable results.
Analyze customers behavior and recommend products they are most likely to purchase
Identify the most prospectful customers and optimize marketing activities
Increase customer retention rate by identifying and understanding churn causes
Enhance user experience with claims pre-assessment and automatic damage evaluation
Automatically process forms and extract data from textual and visual input to improve service efficiency
Identify unusual behavior and automatically detect fraudulent transactions or claimsunderstanding churn causes
Evaluate visual input from assembly lines to identify and eliminate faults and ensure high quality
Analyze real-time and historical sensor data to detect and prevent machinery failures
Anticipate future demand trends and optimize logistics and supply chainunderstanding churn causes