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Refaqt

Refaqt provides a cloud‑based manufacturing orchestration platform that connects CAD and PLM data to production resources, automatically generating work orders, BOMs, and routing sheets. The system offers real‑time shop‑floor monitoring, capacity‑aware scheduling, and analytics for cost, lead‑time, and quality forecasts, enabling hardware startups, OEMs, and mid‑size manufacturers to manage product development through to production in a single digital workflow.

Leuven, BelgiumFounded 2021150+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Product developers and manufacturers often rely on disjointed tools and manual handoffs to move a design from concept to physical production, resulting in delayed time‑to‑market, increased errors, and limited visibility into factory operations.

Solution

Refaqt offers a cloud‑based manufacturing orchestration platform that links digital design data directly to production resources. Users upload CAD models, bill‑of‑materials, and process specifications, which the system translates into executable manufacturing orders. Real‑time shop‑floor telemetry and automated workflow routing keep stakeholders informed of progress and enable rapid adjustments without external intermediaries. Integrated analytics provide cost estimates, lead‑time forecasts, and quality metrics, allowing businesses to maintain end‑to‑end control over the product creation lifecycle.

Target Audience

The platform is aimed at hardware startups, OEMs, and mid‑size manufacturers that need a unified digital interface to manage product development through to production.

Features

  • Native integration with major CAD and PLM systems via RESTful APIs and secure file transfer protocols
  • Automated generation of manufacturing work orders, BOMs, and routing sheets from uploaded design intent
  • Real‑time shop‑floor monitoring through IoT sensor ingestion, providing status dashboards and exception alerts
  • Production scheduling engine that optimizes machine allocation and capacity based on defined constraints
  • Version‑controlled design repository with change‑track audit trails to ensure traceability and compliance
  • Cloud‑hosted analytics module delivering cost, lead‑time, and quality forecasts using statistical modeling
  • Role‑based access control and end‑to‑end encryption to protect intellectual property throughout the workflow
  • Export capabilities for ERP and MES systems via standard EDI and API connectors
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