“Can a machine-learning fraud API become the default risk decisioning layer across every consumer-facing digital business?”
Sift began in 2011 as a machine-learning fraud detection API (Sift Science) primarily focused on payment fraud and chargebacks. It expanded into a broader Digital Trust & Safety platform covering account takeover, fake account creation, content abuse, and dispute management, rebranding to 'Sift' in 2019. Sift is a fraud infrastructure vendor — it is a provider for embedded finance stacks, not a consumer of them, so its own embedded finance footprint is intentionally minimal.
Sift processes payments through checkout.
Sift uses footprint for KYC and identity verification.
The Embedded Finance Index 2026 maps 2 layers in Sift's stack: Payments / PSP (checkout); KYC (footprint).
Sift is founded in 2011 and headquartered in San Francisco, California, USA.
Sift has raised $157M+ in total (latest round: Growth, April 2021; valuation: $1B+ (2021)).
Get a read on where your own stack stands against Sift and the rest of its category — what they built versus bought, which providers they use, and where the gaps in your own strategy and competitive set actually are.