
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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JOpt.TourOptimizer is an enterprise optimization engine for route planning, scheduling, and resource allocation across logistics, transportation, dispatch, and field service operations. It is built for organizations that need to solve complex planning problems under real-world business constraints rather than simple consumer-grade route calculation. The platform supports vehicle routing and scheduling scenarios such as VRP, CVRP, VRPTW, pickup and delivery, multi-depot planning, heterogeneous fleets, and workforce scheduling.
JOpt.TourOptimizer can model time windows, working hours, visit durations, capacities, skills and expertise levels, territories, zone governance, overnight stays, alternate destinations, and custom business rules. This makes it suitable for production deployments where feasibility, transparency, and operational reliability matter. It is designed to generate practical plans that help teams balance travel time, service commitments, workload distribution, and operational cost in demanding enterprise environments.
The solution is available both as an embedded Java SDK and as a Docker-based REST API with OpenAPI and Swagger support. This allows software vendors, enterprise developers, and system integrators to embed advanced optimization into TMS, ERP, CRM, WMS, dispatch systems, customer platforms, and field service applications. With support for scalable integration and modern service architectures, JOpt.TourOptimizer helps organizations improve planning efficiency, service quality, SLA compliance, transparency, and operational resilience at scale. It also supports enterprise integration strategies that require reproducible optimization runs, structured outputs, and flexible deployment models.
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WellArchitect
WellArchitect, created in collaboration with Baker Hughes Company, serves as a sophisticated system for well planning and survey management, designed to facilitate the integrated planning and drilling of directional well paths, regardless of the presence of earth models. This innovative tool is tailored to effectively manage the complexities of sidetracking, multi-lateral well paths, and re-entry drilling, making it indispensable for personnel across all levels within the industry, both at the office and on-site. The system encompasses trajectory calculations, analyses of target erosion due to positional uncertainties, comprehensive reporting, plotting features, and advanced 3D visualizations. Well paths can be compared against various models, including earth and reservoir models, enhancing decision-making capabilities. Additionally, it integrates robust directional drilling software with cutting-edge visualization technologies and optional reservoir geo-data, marking a significant advancement in the drilling sector. Furthermore, it streamlines the entire process from meticulous planning and survey calculations to efficient data management and collision-risk assessments, ensuring a holistic approach to well operations.
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Aucerna Previso
Aucerna Previso empowers your teams to effectively model the entire interconnected system of extraction, production, and distribution, encompassing various reservoirs, wells, subsea pipelines, compressors, and separators, all the way to the market. This comprehensive solution offers operators advanced capabilities for production forecasting and modeling. The forecasts are driven by market dynamics, with production monitored at a component level and systematically back-allocated through processing plants, pipelines, compressors, wells, and ultimately each reservoir. The software is designed to swiftly and accurately calibrate historical data, predict production profiles, and manage uncertainties in subsurface conditions by generating numerous scenarios essential for optimizing production planning over short, medium, and long-term horizons. Previso incorporates specialized optimization algorithms tailored to the industry, utilizing intelligent block matrix constructions to streamline linear programming, which leads to exceptionally fast solution convergence. This efficiency not only enhances decision-making but also significantly improves overall operational effectiveness.
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