JOpt.TourOptimizer
JOpt.TourOptimizer is an enterprise route optimization and scheduling engine for logistics, dispatch, transportation, and field service operations. It solves VRP, CVRP, VRPTW, pickup and delivery, multi-depot planning, heterogeneous fleet routing, and workforce scheduling under real-world business constraints.
The platform supports time windows, working hours, capacities, skills and expertise levels, territories, zone governance, overnight stays, alternate destinations, and custom business rules. Available as a Java SDK and Docker-based REST API with OpenAPI/Swagger, JOpt.TourOptimizer integrates into existing software platforms.
It helps organizations improve planning efficiency, service quality, transparency, SLA compliance, and operational reliability at scale. It is designed for software vendors, enterprise developers, and operations teams that need scalable optimization technology for production use, not just basic route calculation.
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Bidtracer
Bidtracer has been built specifically for the MEP/BAC industry for both construction and service side including but not limited to CRM, Bid Management, Invitation to Bid, BAC Estimating, BAC Engineering, Project Management, Service Agreement, Service Work Orders, Service Repair, Service Projects all built natively in the cloud. Estimating/engineering established live pricing with numerous manufacturers such as JCI, Distech Controls, ABB, Carrier, ALC and many peripheral distributors such as Kele, Alps, Belimo, Siral, Bray. If you haven’t imported it yet, we can import it multiple times throughout the year. Our system caters to businesses of all sizes and accommodates users from various roles such as: estimators, engineers, PMs, sales, executive, and field workers. It includes rich reporting features with customizable reports, charts, and graphs to enable companies to analyze their data in real-time.
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RelationalAI
RelationalAI is a next-generation database system for intelligent data applications based on relational knowledge graphs. Data-centric application design brings data and logic together into composable models. Intelligent data applications understand and make use of each relation that exists in a model. relational provides a knowledge graph system to express knowledge as executable models. These models can be easily extended through declarative, human-readable programs. RelationalAI’s expressive, declarative language leads to a 10-100x reduction in code. Applications are developed faster, with superior quality by bringing non-technical domain experts into the creation process and by automating away complex programming tasks. Take advantage of the extensible graph data model as the foundation of data-centric architecture. Integrate models to discover new relationships and break down barriers between applications.
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