# Nace AI launches Drex for Finance, a sub-second financial decision model

> Original title: Nace AI has launched Drex for Finance, a model designed for split-second financial tasks, like determining whether a card payment looks f...

- Source: Testing Catalog
- Published: 2026-11-02T18:35:06.000Z
- Bad Influence: https://badinfluence.news/items/z3vqlgy4mtbk76m9u7c33i0zt
- Original: https://x.com/testingcatalog/status/2117324639563141209

## Summary

Nace AI has launched Drex for Finance, a model built for sub-second financial decisions such as flagging a fraudulent card payment. It scores each possible answer from a document or transaction log, with probability outputs. In tests on 3,361 decisions from 48 held-out finance benchmarks, it was right 85.7% of the time, versus 70.9% for GPT-6 Luna.

## Post

Nace AI has launched Drex for Finance, a model designed for split-second financial tasks, like determining whether a card payment looks fraudulent.

It can use a document or a transaction log along with a fixed set of possible answers, then deliver a probability score for each one.

In tests with 3,361 decisions from 48 finance benchmarks not included in training, it was right 85.7% of the time, compared to 70.9% for GPT-6 Luna.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWI1xadWwAEGiHb.jpg&mode=thumb&exp=1793836800&sig=77942c2c2dbddcbf)

## Quoted post @NaceAI

> Announcing Drex for Finance - the multimodal decision model, post-trained for sub-second financial decisions.
> 
> Financial operations require precise, regulatory-grade decisions with zero hallucinations across filings, support, credit risk, live fraud prevention, quant signals, and compliance.
> 
> Evaluated on 48 held-out finance benchmarks:
> - 85.7% accuracy across 3,361 decisions (+14.8% vs. GPT-6 Luna)
> - 77.3 Finance Index (+13.7 vs. Jev 1.14, +11.5 vs. Drex-Max v1.1)
> 
> Trained for sub-second financial intelligence across the entire pipeline:
> - Financial Documents & Filings: Extraction decisions, classification, and clustering
> - Credit & Lending: Automated underwriting, PD modeling, and EWS
> - Fraud & AML: Sub-second transaction scoring, ATO defense, and SAR clustering
> - Markets & Trading: Regime detection, meta-labeling, and LOB execution signals
> - Insurtech & RegTech: Claims fraud detection, sanctions screening, and audit reconciliation
> 
> Available exclusively on Nace Console: https://console.nace.ai

https://x.com/NaceAI/status/2117298824926703953