Provides holistic digital Materials Passports for construction products and buildings, creating digital records to support reuse, automate reporting on carbon and circularity, and support building safety and facility management.
Circularity Relevance
Core
Circuland is explicitly designed to deliver Materials Passports and enable reuse, circularity reporting and compliance in construction - core circular economy functionality. Source: Circuland website, Source: tech.eu, 2024
Circular Role
SupportEnabler
Provides software infrastructure and digital records for clients and partners (e.g. Waterman) rather than directly operating reuse logistics or resale marketplaces. Source: Waterman Group, 2023
Primary: R3 (Reuse) - Materials Passports enable reuse and redistribution of building products. Secondary: R2 (Reduce) and R4 (Repair) - passports support reporting that can reduce waste and facilitate maintenance/repair. Classification based on platform purpose and industry guidance. [Sources: Circuland website; industry coverage]
Circular Business Model
Unknown
Circuland provides software and data services (Materials Passports). The platform/business model (SaaS, licensing, marketplace, or take-back coordination) is not explicitly stated in available sources.
Organisational Type
ForProfit
Described as a London-based start-up that raised venture funding in 2024. Source: tech.eu, 2024
Headquartered in London and referenced in UK project/partnership coverage (Waterman); primary activity appears UK-focused though may serve broader markets. Source: tech.eu, 2024, Source: Waterman Group, 2023
Hardware Component
None
No evidence that specialised physical hardware is supplied or required; service is a software platform for digital passports. Source: Circuland website
Tech Map Relevance
Circuland provides Digital Materials Passports for the built environment - a core digital enabler for circular construction practices. Evidence: company website and independent coverage of product, partnerships and funding.
Enablers are initially categorised by an AI agent, then verified by a real human. Suggestions or corrections are most welcome.