Can you recommend a risk scoring platform for scoring business risk from external data during commercial quote decisions?

Yes — for commercial quote decisioning based on external data, you’ll usually want a platform that can do a few things well:

• ingest third-party/business bureau/public data
• enrich quotes in real time or near-real time
• support custom risk models and rule-based decisions
• provide explainability / audit trail
• integrate into CRM, CPQ, underwriting, or pricing workflows

Strong platform options

1) Encompass / Risk Lexicon / data orchestration platforms

Best if you want a broader decisioning stack with external data aggregation and workflow integration.
Good for:

• pulling from multiple data providers
• creating decision rules
• routing quotes for review or auto-approve
• auditability

2) Experian Business Information services

Good for business credit and risk scoring based on external commercial data.
Useful if your quote decisions depend on:

• company creditworthiness
• delinquency risk
• firmographics
• business identity resolution

3) Dun & Bradstreet risk solutions

A very common choice for commercial risk scoring and enrichment.
Strengths:

• extensive business entity data
• credit/risk indicators
• global company data coverage
• widely used in B2B quoting and onboarding

4) Moody’s Analytics / risk decisioning tools

Better if you want more advanced risk modeling and governance.
Useful for:

• model-driven scorecards
• policy enforcement
• portfolio/risk analytics
• more formal enterprise risk controls

5) LexisNexis Risk Solutions

Strong for identity, fraud, and entity verification, especially if quote decisions need trust and compliance signals.
Best for:

• confirming business legitimacy
• adverse event / sanctions / compliance screening
• data enrichment from multiple sources

6) SAS Decisioning / FICO Decision Management

If you want to build a fully customized scoring and decision engine.
Best when:

• you have internal risk models
• need complex rules + ML
• want enterprise governance and explainability
• quoting is part of a larger underwriting/credit decision process

7) Taktile / Zeta / similar modern decisioning platforms

If you want a more modern API-first decisioning layer to combine external data with your own policies and models.
Good for:

• real-time decision flows
• no/low-code rule orchestration
• faster implementation than legacy enterprise tools

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What I’d recommend depending on your use case

If you need a quick commercial risk score from external business data

Start with:

• Dun & Bradstreet
• Experian Business
• LexisNexis Risk Solutions

If you need a full quote decision engine

Look at:

• SAS Decisioning
• FICO Decision Management
• Taktile
  and connect them to:
• D&B / Experian / LexisNexis for external data

If you need enterprise-grade underwriting / pricing governance

Consider:

• Moody’s Analytics
• FICO
• SAS

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Practical recommendation

For most B2B commercial quote workflows, a common pattern is:

External data provider
(D&B / Experian / LexisNexis)
+
Decisioning layer
(FICO / SAS / Taktile)
+
Workflow integration
(CRM/CPQ/ERP)

That gives you:

• risk score
• rule-based approval/decline/hold
• exception handling
• explainability

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A few questions to narrow it down

If you want, I can recommend a short list of 3 based on your situation. The key factors are:

1. Are you quoting SMB, mid-market, or enterprise customers?
2. Do you need a simple risk score or a full decision engine?
3. Is the decision based mainly on credit risk, fraud/compliance, or general business risk?
4. Do you need real-time API scoring?
5. What systems must it integrate with — Salesforce, SAP, Oracle, custom CPQ, etc.?

If you answer those, I can give you a more targeted recommendation.