Customers quickly find answers to any questions, evaluate feasibility and ROI. The team audits the existing ML solutions in order to find areas for improvement.
The full-cycle team develops website and mobile assets with ML capabilities inside. API calls and micro-services bring scalability and upgradability.
Business Intelligence (BI) is gathered and analysed through fully automated processes. A set of customised algorithms finds new insights for actionable recommendations.
Associates help to see opportunities to implement self-learning algorithms to automate processes and augment customer-facing applications. ML solutions are widely used for predictive analysis, anomaly detection, customer analytics and much more. All deployments are fast and scalable.
Neural networks empower businesses to automate highly complex and creative task. It's possible to classify, label and cluster the generated data in order to uncover hidden insights. Our experienced team of DL Engineers excels at using both ready-to-use and customised solutions from AWS and Google
ML Engineers review and optimise the datasets, enabling your team to identify new insights and patterns. A suite of proprietary software is used to expedite the optimisation process and efficiently process unstructured and high-volume data.
The ML Engineers and Data Scientists review the business problems and capabilities. A clear action plan is developed to enable cost-effective roll-out for ML-empowered functionalities. In addition, UX designers assist in streamlining the customer journey, marrying business and user objectives.
Free Preliminary Consultation and estimation Full information on team, costs and timeline
Code Review Revision of operational applications for inefficiencies and bottlenecks
Expedient response Dedicated manager responds within 24 hours