Problem

Mercura addresses the slow, manual, and error-prone process of quoting construction materials. When contractors bid on projects, they send distributors and manufacturers requests through unstructured emails, PDFs, and Excel files, often with incomplete specifications. Inside-sales teams must interpret those requests, compare requirements against product catalogs, select suitable products, and enter the resulting quote into an ERP. The work consumes sales capacity, delays responses, increases errors, and can cause distributors to lose revenue because they cannot process every request.

The clearest use case is quote and tender processing for HVAC, electrical, plumbing, and related construction-supply businesses. Mercura’s customer example shows the economic pain directly: Sanitär Heinze previously handled only about 70% of incoming requests because of capacity constraints, while faster quoting can improve customer satisfaction, win rates, and the time available for follow-up and selling.

Product / Service

Mercura is an AI quote-and-order automation platform delivered as enterprise software integrated with a distributor’s existing ERP, CRM, or ticketing systems. It ingests requests from channels such as email, PDFs, Excel files, and specification documents; extracts product descriptions, manufacturers, part numbers, quantities, deadlines, and customer details; matches line items to the customer’s catalog; and generates a quote that can be transferred into the ERP. Its core workflow is to receive the request, perform smart product matching, and produce an ERP-ready quote in minutes rather than hours or days.

The product combines customer-specific AI models with human review and feedback. Mercura says it fine-tunes models on each customer’s data and uses reinforcement learning from employee feedback to improve matching and accuracy over time. Integrations include SAP, Salesforce, Oracle NetSuite, and other ERP or CRM systems through APIs and related connectors. The intended benefit is to process more requests with the same team, reduce manual data entry and errors, and give sales teams more time to pursue revenue; the company claims that suitable products can be found up to five times faster.

Market

Mercura competes in vertical AI sales automation, specifically AI-powered quoting and order processing for manufacturers and distributors in the construction supply chain. It sits adjacent to CPQ, industrial sales-operations software, and construction-procurement automation, but is differentiated around interpreting unstructured RFQs and specifications and turning them into catalog-matched, ERP-ready quotes. Crunchbase identifies Canals, Quotable Ventures, and Field Materials AI as possible alternatives; Field Materials describes itself as AI construction-procurement software with agents for quotes, purchase orders, AP automation, inventory, and prefab operations, making it a particularly relevant adjacent competitor.

Mercura appears to be commercial rather than pre-revenue. As of the company’s latest website material in the research, more than 60 distributors and manufacturers trust it, and a published customer story reports that Sanitär Heinze now handles 100% of incoming requests with the same team size while reducing tender-processing time by more than 50%. The company was founded in 2024, is an active Y Combinator Winter 2025 company, and third-party funding reports indicate a $2.1 million seed round in December 2025, with total funding reported at $2.6 million across two rounds. No independently verified revenue figure was disclosed in the strongest sources reviewed.