Maker's Row
Speya vs Maker's Row
Maker's Row connects brands with US manufacturers. Speya is an AI sourcing engine with global reach and automated vetting.
By the Speya team
·
Updated
Side by side
How Speya compares.
Capability
Speya
Maker's Row
Supplier discovery
Describe it in plain language
Manual browse
Vetting
Every supplier AI-vetted
Basic profiles
Coverage
Millions of suppliers, global
US only, thousands
Speed to shortlist
Minutes
Hours to days
Autonomy
Runs the whole case with Speya Auto
None
Built for
Enterprise procurement
US SMB brands
Background
The platform, in brief.
Maker's Row is a marketplace that helps brands find US-based manufacturers, with a directory of several thousand factories and tools to start projects. It is popular with smaller, product-based businesses sourcing domestically.
The gap
Where it falls short for modern procurement.
Maker’s Row is US-only and relatively small, built for smaller brands. You browse and contact factories yourself, there is no AI discovery or automated vetting, and global sourcing is out of scope.
Authority
Why you can trust this comparison.
This comparison comes from the team that builds Speya, used for supplier discovery by IKEA, Roche, Clas Ohlson, Rusta, Ahlsell and STARK Group, plus PwC and Deloitte. We state where we fit and where we do not.
Enterprise procurement
IKEA, Roche, Clas Ohlson, Rusta, Ahlsell and STARK Group source with Speya.
Global consultancies
PwC and Deloitte run client sourcing on the platform.
Independently audited
ISO 27001 and SOC 2 Type II, third-party audited.
EU by default
Hosted in the EU. Supplier data never leaves EU borders.
S
Speya
The Speya team, building AI supplier discovery for enterprise procurement. We cover sourcing, supplier data, risk and compliance.
Last updated
The difference
Why teams choose Speya.
Speya is built for how procurement works now. You describe the need, Speya discovers and AI-vets suppliers across millions worldwide, ranks them into tiers, and can run the whole case on its own. You get a defensible shortlist in minutes, with the evidence beside every name.
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