Data Analytics & Business Intelligence Platforms

A unified SaaS platform capable of real-time vehicle data collection, processing, and predictive analytics with user-friendly interfaces for data visualization, organization, sharing, and collaboration.

Design and develop a web-based platform enabling vehicle data collection, processing, visualization, and collaboration, with strong security and scalability features.

The system must provide data ingestion from various vehicle sources, user authentication and profile management, content organization through collections, quick search functionalities, and collaborative discussion tools integrated within communication platforms.

A web-based platform providing comprehensive vehicle and customer data analysis with dynamic reporting capabilities.

A secure, scalable internal dashboard system capable of centralized franchise management, accurate reporting, user authentication, and seamless navigation with improved user experience.

Development of a comprehensive Lakehouse architecture comprising distinct data layers for raw data ingestion, refined data updating, and analytics-ready data storage, coupled with automation pipelines and BI integration.

Design a Deep Learning-based system for automatic detection and recognition of parking lots from satellite imagery, with platform flexibility and high accuracy.

A comprehensive data platform enabling real-time data ingestion from mobility assets, data preprocessing, advanced analysis, model generation, and visualization, with compatible APIs for integration with other R&D tools.

A comprehensive web-based application enabling automotive data editors to efficiently curate, analyze, and publish vehicle pricing information with integrated analytics and automation capabilities.

Development of a comprehensive data management system incorporating data ingestion, transformation, storage, and distribution components, along with automation modules for key operational processes.

Design and develop a cloud-native, microservices-driven BI ecosystem capable of automated data ingestion, rigorous validation, multidimensional analytics, semantic search, and robust API integrations to support automotive data consumers globally.

Design a cloud-native platform facilitating the creation, testing, and deployment of AI and ML models, with integrated automation, environment management, and scalable architecture.