Grand

Name: Grand
Brand: Grand

AI Native

Grand is the first AI-powered credit intelligence platform for the real-world economy.

Est 2025|Raised $5M|1 Ref Customers

LinkedIn 599|Website|FTEs 11|HQ Belfast, United Kingdom

MarketsSupplier Intelligence

01Competitive Landscape

Narrative analysis

- Differentiation claim (vendor statement): the vendor positions the product as continuous monitoring and behavior-based signals for trade relationships rather than a traditional static credit report. This positioning should be validated with reference customers and performance metrics. - Incumbent strengths: established vendors typically provide greater data breadth and longer historical datasets, more visible governance and compliance documentation, and a wider set of packaged integrations with ERPs and credit-management tooling. - Adjacent vendors (example: Beauhurst) also position products as providing frequent updates to company profiles for UK companies, but with different primary use cases (investment and growth insights rather than trade credit decisioning). Buyers should test what "frequent" or "live" means operationally for each vendor. Source: - Industry blog post (Beauhurst)

	Grand (vendor website)	Creditsafe	Dun & Bradstreet (D&B)
Starting Price	Not publicly disclosed (demo required)	Not publicly disclosed (varies by region and product; sales-led)	Varies by product; some public-sector pricing documents exist (varies by SKU/volume)
Primary use case	UK-focused trade counterparty monitoring with continuous signals and decision support (vendor claim)	Business credit reporting and monitoring across multiple markets	Global company intelligence and credit risk management for enterprise customers
Key characteristics	Vendor states continuous monitoring and machine-learning-based recommendations; initial vertical focus on UK construction	Established credit bureau with broad market data and monitoring products	Broad dataset coverage and long-standing enterprise adoption; varied product portfolio
Key limitations	Early-stage vendor maturity; limited public validation and security certification evidence	Users sometimes report data inaccuracies in public discussions (varies by use case)	Can be complex and costly to procure and integrate

01Competitive Landscape

Narrative analysis

Differentiation claim (vendor statement): the vendor positions the product as continuous monitoring and behavior-based signals for trade relationships rather than a traditional static credit report. This positioning should be validated with reference customers and performance metrics.
Incumbent strengths: established vendors typically provide greater data breadth and longer historical datasets, more visible governance and compliance documentation, and a wider set of packaged integrations with ERPs and credit-management tooling.
Adjacent vendors (example: Beauhurst) also position products as providing frequent updates to company profiles for UK companies, but with different primary use cases (investment and growth insights rather than trade credit decisioning). Buyers should test what "frequent" or "live" means operationally for each vendor.

Source:

Industry blog post (Beauhurst)

	Grand (vendor website)	Creditsafe	Dun & Bradstreet (D&B)
Starting Price	Not publicly disclosed (demo required)	Not publicly disclosed (varies by region and product; sales-led)	Varies by product; some public-sector pricing documents exist (varies by SKU/volume)
Primary use case	UK-focused trade counterparty monitoring with continuous signals and decision support (vendor claim)	Business credit reporting and monitoring across multiple markets	Global company intelligence and credit risk management for enterprise customers
Key characteristics	Vendor states continuous monitoring and machine-learning-based recommendations; initial vertical focus on UK construction	Established credit bureau with broad market data and monitoring products	Broad dataset coverage and long-standing enterprise adoption; varied product portfolio
Key limitations	Early-stage vendor maturity; limited public validation and security certification evidence	Users sometimes report data inaccuracies in public discussions (varies by use case)	Can be complex and costly to procure and integrate