Our team of data scientists and software engineers with vast expertise in data analytics and predictive modeling, and a strong track record in end-to-end development of enterprise-grade solutions.
Wide range of services: from consulting and data science as a service (DSaaS) to solution development and technical support that fit any stage of a data science cycle.
Forecast Business OutcomesWith predictive analytics tools, you can reduce time, effort, and, most importantly, costs in foreseeing business outcomes. This allows you to boost your business performance and operational efficiency.
Anomaly DetectionPrevent critical incidents, fraud, system failures, intrusions, or undesired customer behavior.
Price ForecastingBoost your sales and maximize profits, achieve better price flexibility, and adjust to changes in supply and demand in real-time.
Churn ForecastingImproving retention of current customers and saving on new customer acquisition costs.
Customer SegmentationAutomating identifying and creating customer segments to enhance your consumer's services and enable risk management.
Recommendation EnginesWe're using techniques namely deep learning, social learning, and tensor factorization based on machine learning and neural networks in different industries: healthcare, agriculture, e-commerce, logistics, media, and more. Such cognitive computing methods can take the quality of your recommendations to the next level. In the era of the rising adoption of chatbots, it can be coupled with recommendation engines to provide follow-ups on products.
Predictive Marketing AutomationPredictive marketing combines techniques from machine learning, statistics, and data mining to get a precise picture of customers. This way it shows you potential risks and opportunities, so you take action in advance.
Predictive AdvertisingRunning campaigns based on precise machine learning predictions can improve marketing ROI and reduce advertising waste.
Harvest Time Prediction and Yield EstimateWe apply classification and regression modeling, and time series analysis to make the lives of agribusinesses easier.
Predictive MaintenanceData science and predictive analytics can eliminate downtime at manufacturing by scheduling maintenance before the point of failure. That is how to minimize the number of breakdowns, improve safety and asset reliability, and maximize production hours.
Forecast Business OutcomesWith predictive analytics tools, you can reduce time, effort, and, most importantly, costs in foreseeing business outcomes. This allows you to boost your business performance and operational efficiency. Anomaly DetectionPrevent critical incidents, fraud, system failures, intrusions, or undesired customer behavior. Price ForecastingBoost your sales and maximize profits, achieve better price flexibility, and adjust to changes in supply and demand in real-time.
Churn ForecastingImproving retention of current customers and saving on new customer acquisition costs. Customer SegmentationAutomating identifying and creating customer segments to enhance your consumer's services and enable risk management.
Recommendation EnginesWe're using techniques namely deep learning, social learning, and tensor factorization based on machine learning and neural networks in different industries: healthcare, agriculture, e-commerce, logistics, media, and more. Such cognitive computing methods can take the quality of your recommendations to the next level. In the era of the rising adoption of chatbots, it can be coupled with recommendation engines to provide follow-ups on products.
Predictive Marketing AutomationPredictive marketing combines techniques from machine learning, statistics, and data mining to get a precise picture of customers. This way it shows you potential risks and opportunities, so you take action in advance. Predictive AdvertisingRunning campaigns based on precise machine learning predictions can improve marketing ROI and reduce advertising waste.
Harvest Time Prediction and Yield EstimateWe apply classification and regression modeling, and time series analysis to make the lives of agribusinesses easier. Predictive MaintenanceData science and predictive analytics can eliminate downtime at manufacturing by scheduling maintenance before the point of failure. That is how to minimize the number of breakdowns, improve safety and asset reliability, and maximize production hours.
