Engineering and R&D teams at large manufacturing, industrial equipment, and energy companies use Reeva to build their own engineering data model, connecting technical records with expert reasoning so teams can reuse proven designs, improve sourcing, and prevent repeat issues.
Talk to our teamReeva connects design, cost, supplier, quality, and service evidence across technical files and business systems. A dynamic ontology organizes it into an engineering data model unique to your company: a living record of products, parts, and relationships, with every fact linked to its source.
Reeva captures the reasoning behind engineering corrections, exceptions, and decisions. Experts can review conflicts, explain their judgment, and approve model updates, so the model learns from engineers as the company works and preserves their reasoning and evidence for future teams.
Teams and AI agents built on Reeva can populate catalogs, find reusable designs, and compare sourcing options using cost and quality history. Each draws on the same engineering data model and can contribute approved facts and decisions back to it.
Start new programs with designs, tests, and decisions from across the company. Teams can reuse proven engineering, reduce duplicated work, and free capacity for new products and challenges.
Bring historical costs, supplier quality, and service experience into design and sourcing decisions. Evaluate tradeoffs earlier, identify components to standardize or reuse, and consider more of a product’s lifetime costs.
Use past failures, approved fixes, and expert reasoning to catch recurring issues earlier. Preserve decision context behind requirements and changes through project delivery, handover, and operations.