# Featurespace: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 6 judge labels across 2 categories by 4 of 14 models. Page: https://www.gane.ai/index/finance/vendors/featurespace

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [AML and transaction monitoring](https://www.gane.ai/index/finance/tax/aml-and-transaction-monitoring/index.md) | 0% | 36 | 0% | 3 |
| [Ecommerce fraud prevention](https://www.gane.ai/index/finance/receivables/ecommerce-fraud-prevention/index.md) | 0% | 69 | 33% | 3 |

## What the models said for it

- "Best for Real-Time Detection ... More popular with banks and larger institutions" (MiniMax M2.5, Ecommerce fraud)
- "Featurespace (for advanced analytics)" (DeepSeek V4 Flash, AML monitoring)

## And against it

- "Avoid overly enterprise-focused options like Featurespace or Abrigo" (Grok 4.20, Ecommerce fraud)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 1 | 2 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named Featurespace, from 11 of the 11 answers that named it (only the models that return a source list).

### Domains cited

- fraud.net: 7
- bureau.id: 4
- eps.edenred.com: 4
- g2.com: 4
- shuftipro.com: 4
- capterra.com: 3
- fraudio.com: 3
- github.com: 3
- goodfirms.co: 3
- guideflow.com: 3

### Pages cited

- https://eps.edenred.com/blog/top-fraud-detection-tools: 4
- https://bureau.id/resources/blog/transaction-monitoring-software: 3
- https://fraud.net/resources/best-ai-tools-for-preventing-payment-fraud: 3
- https://github.com/ishandutta2007/Awesome-AML-Transaction-Monitoring: 3
- https://goodfirms.co/aml-software: 3
- https://fintechspecs.com/blog/best-aml-transaction-monitoring-software-fintech: 2
- https://fraud.net/resources/best-payment-fraud-services-for-enterprises: 2
- https://fraud.net/resources/best-real-time-fraud-detection-tools-for-online-payments: 2

## In its own words

What Featurespace's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Positioning: Fraud and financial crime management (https://featurespace.com/)
- For: financial institutions (https://featurespace.com/)
- Customers named: NatWest, Worldpay, Danske Bank, TSYS, Akbank, Central 1, Circulo de Crédito, Eftpos

## What it publishes

Every page featurespace.com exposes, read 2026-10-05: 50 addresses. By kind, pages and the last 90 days:

- case study: 16 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 1 pages, 0 in the last 90 days, latest undated
- podcast or video: 1 pages, 0 in the last 90 days, latest undated

## Record

- Method: https://www.gane.ai/index/finance/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/finance.