QUASH.ai

Organizations that should not choose this product include:

1. Organizations that require extensive third-party validation now (e.g., peer-review platforms, audited performance benchmarks) as public review coverage is limited.
2. Organizations that require publicly verifiable SOC 2 Type II and/or ISO 27001 certification as a precondition for pilots or engagement; QUASH’s public materials may be insufficient.
3. Use cases that require extensive, out-of-the-box regulatory tooling (adverse action reason codes, pre-built fairness dashboards, model registries) without a willingness to build supplemental governance.
4. Procurement teams that require transparent self-serve pricing; QUASH appears to be sales-led with no public tiers.

For a B2B fintech decisioning platform, accessible third-party review coverage on mainstream platforms is limited:

• G2: No QUASH.ai credit decisioning product listing with reviews was found in this research.
• TrustRadius: No clear QUASH.ai product page with user reviews was found.
• Gartner Peer Insights: No QUASH.ai listing was located via accessible search results.

This limits the ability to validate vendor claims via an independent customer review corpus.

On QUASH’s website, vendor-published outcomes include:

• A reported significant increase in net profit for a named customer, with implementation cost reportedly a small percentage of that profit.
• A vendor-stated improvement in predictive capacity for a named bank.
• A claimed client metric indicating strong separation power between good and bad borrowers.
• A testimonial describing an ongoing integration roadmap at a customer.

These outcomes are published by the vendor and were not found to be independently audited in public sources reviewed.

1. Crediavance (vendor-claimed): Reported a sizable additional net profit with implementation cost reported to be a small fraction of that profit; linked to delinquency reduction.

   • Critical evaluation: No methodology, time window, cohort definition, or counterfactual are described publicly. Treat as directional until independently verified.

2. Coopeuch (vendor-quoted testimonial): Describes moving from proof-of-concept to an integration roadmap and contracting steps in 1H 2026.

   • Critical evaluation: This is an in-progress adoption statement and does not yet provide measurable outcomes.

3. Banco Falabella / client metrics: Vendor states a notable improvement in predictive capacity and a strong separation power metric.

   • Critical evaluation: Metrics are not defined (e.g., which predictive or uplift measures), and the evaluation design is not disclosed.

QUASH.ai is a B2B credit risk evaluation and decisioning platform intended to help lenders (banks, credit unions, finance companies, microfinance institutions, and some retailers) assess borrower creditworthiness using a combination of:

• Alternative/digital-footprint data (the site references using email and phone signals for near-real-time scoring)
• Machine learning models and configurable policies/rules
• Workflow automation and APIs for integration into origination flows

Vendor messaging states the product is designed to extend credit consideration to applicants who might be rejected by traditional bureaus while also asserting improved risk separation and lower delinquency.