Fraud & risk analytics · Alloy Labs, Inc. (Alloy)

Alloy

Identity risk orchestration platform that routes onboarding decisions across 270+ KYC/KYB and fraud data providers.

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Alloy is an identity-decisioning orchestration platform used by banks, credit unions, fintechs and crypto platforms mainly at account opening and ongoing KYC/KYB monitoring. Its core method is vendor-neutral orchestration: rather than owning one proprietary signal, it connects to 270+ third-party data partners (credit bureaus, identity verification vendors, fraud intelligence feeds, watchlist screening, business-verification services) and lets institutions configure which checks run in what order, then applies its own identity-centric 'Fraud Signal' ML model to combine those inputs into a single risk decision. It extends into transaction monitoring (P2P, ACH, wire, card, stablecoins) and perpetual KYC/KYB re-checks after onboarding. Delivered as a cloud SaaS platform with API integration, Alloy differs from Sardine or Sift by not doing its own device/behavioral capture as the primary signal; its value is aggregating and orchestrating other vendors' identity data rather than generating a new one.

At a glance

Vendor Alloy Labs, Inc. (Alloy)
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Banks and fintechs that want to combine multiple third-party identity and fraud data sources into one onboarding decision.

Pricing

Enterprise pricing quoted per institution based on data sources used and application volume; no published rate card.

Pricing has not been verified yet — see the vendor's site.

Features

  • Orchestration across 270+ KYC/KYB and fraud data partners
  • Identity-centric 'Fraud Signal' ML risk model
  • Automated account-opening decisioning
  • Perpetual KYC/KYB monitoring post-onboarding
  • Transaction monitoring across ACH, wire, card, P2P and stablecoins
  • AML/watchlist screening
  • AI assistant for case triage and next-step recommendations
  • Vendor-neutral, configurable decisioning workflows

Integrations

Profile last reviewed September 21, 2026

Alternatives

Sardine Fraud and AML platform leaning on behavioral biometrics, device intelligence and payment/on-chain risk signals. Unit21 No-code rules and case-management platform that lets fraud/AML ops teams build detection logic and investigate without engineers. Sift ML fraud-scoring platform that leans on a cross-customer consortium network plus device and behavioral signals.

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Terms to know

Data quality The degree to which data is accurate, complete, consistent and fit for the purpose it is being used for. Data governance The policies, roles and processes that determine how data is defined, owned, accessed and kept compliant. Machine learning Building models that learn patterns from data to make predictions or decisions, rather than following hand-coded rules. AI copilot An AI tool embedded in a work application that assists a human with suggestions or drafts, rather than working unsupervised. API integration Connecting two systems by having one call the other's application programming interface to exchange data. Transaction monitoring Ongoing, largely automated screening of financial transactions to flag activity that may indicate fraud or laundering.

Related guides

How to choose a fraud detection tool Fraud platforms split by primary signal — biometrics, device data, consortium networks, compliance case management — and by who they're built for.