Credit Benchmark

Name: Credit Benchmark
Brand: Credit Benchmark

Access the combined risk views of experts from over 40 of the world's leading financial institutions.

Est 2012|Valuation $115.1M|Raised $39.6M|6 Ref Customers

LinkedIn 19K|Website|Web traffic 4K|FTEs 71|HQ London, England, GB

MarketsCounterparty & Credit Risk Intelligence

01Competitive Landscape

Narrative comparison

- Versus traditional credit rating agencies (Moody’s/S&P/Fitch Ratings): - Credit Benchmark differentiates itself by aggregating bank internal views and emphasizing private/unrated coverage with frequent refreshes. - Traditional CRAs remain necessary where policy or regulation requires CRA/NRSRO ratings or for market signaling. - Versus Bloomberg default risk datasets and terminals: - Bloomberg provides broad workflow and data distribution capabilities and also distributes Credit Benchmark content. Credit Benchmark provides a fundamental peer-bank view that can complement market-implied datasets. - Versus Fitch Solutions implied credit scores: - Fitch Solutions' implied scores are often positioned as aligned to Fitch Ratings. Credit Benchmark is derived from bank internal risk processes rather than implied market measures.

Adoption trends / market signals

Industry recognition and vendor claims suggest institutional traction and a network of contributors.
Due to limited public review footprints, adoption appears relationship-driven; purchasers should undertake reference checks and technical validation.

	Credit Benchmark	Moody’s Analytics	Fitch Solutions
Starting Price	Not publicly listed (enterprise)	Typically enterprise (varies by modules/data)	Typically enterprise (varies by datasets/apps)
Best Fit	Banks needing a peer-consensus view with emphasis on private/unrated coverage for benchmarking and surveillance	Institutions needing modeled PD/EDF, macro/portfolio risk tooling, and broad entity databases	Institutions needing Fitch-aligned workflows and implied scores/indicators
Key Strength	Aggregated bank-contributed consensus lens; frequent refresh; focus on private/unrated entities	Large modeling suite and integrated risk software; market-implied and structural-model approaches	Implied scores and indicators aligned with Fitch franchise; integrated datasets within Fitch ecosystem
Key Weakness	Verification complexity; limited publicly accessible end-user reviews; governance complexity; not a regulated CRA	Potential reliance on market signals for some models; can be costly and complex; model risk management overhead	Coverage and methodology suitability may vary; may be less differentiated for private/unrated coverage depending on the use case

01Competitive Landscape

Narrative comparison

Versus traditional credit rating agencies (Moody’s/S&P/Fitch Ratings):
- Credit Benchmark differentiates itself by aggregating bank internal views and emphasizing private/unrated coverage with frequent refreshes.
- Traditional CRAs remain necessary where policy or regulation requires CRA/NRSRO ratings or for market signaling.
Versus Bloomberg default risk datasets and terminals:
- Bloomberg provides broad workflow and data distribution capabilities and also distributes Credit Benchmark content. Credit Benchmark provides a fundamental peer-bank view that can complement market-implied datasets.
Versus Fitch Solutions implied credit scores:
- Fitch Solutions' implied scores are often positioned as aligned to Fitch Ratings. Credit Benchmark is derived from bank internal risk processes rather than implied market measures.

Adoption trends / market signals

Industry recognition and vendor claims suggest institutional traction and a network of contributors.
Due to limited public review footprints, adoption appears relationship-driven; purchasers should undertake reference checks and technical validation.

	Credit Benchmark	Moody’s Analytics	Fitch Solutions
Starting Price	Not publicly listed (enterprise)	Typically enterprise (varies by modules/data)	Typically enterprise (varies by datasets/apps)
Best Fit	Banks needing a peer-consensus view with emphasis on private/unrated coverage for benchmarking and surveillance	Institutions needing modeled PD/EDF, macro/portfolio risk tooling, and broad entity databases	Institutions needing Fitch-aligned workflows and implied scores/indicators
Key Strength	Aggregated bank-contributed consensus lens; frequent refresh; focus on private/unrated entities	Large modeling suite and integrated risk software; market-implied and structural-model approaches	Implied scores and indicators aligned with Fitch franchise; integrated datasets within Fitch ecosystem
Key Weakness	Verification complexity; limited publicly accessible end-user reviews; governance complexity; not a regulated CRA	Potential reliance on market signals for some models; can be costly and complex; model risk management overhead	Coverage and methodology suitability may vary; may be less differentiated for private/unrated coverage depending on the use case