MOGOPLUS Launches Insight Suite on Google Cloud Marketplace

May 13, 2025
MOGOPLUS has announced the availability of its Insight Suite for Credit Decisioning on Google Cloud Marketplace, offering enhanced data-driven solutions for lenders.
MOGOPLUS Launches Insight Suite on Google Cloud Marketplace

MOGOPLUS has launched its Insight Suite for Credit Decisioning on the Google Cloud Marketplace. This move aims to assist lenders in reducing origination costs, speeding up decision-making, and enhancing customer experiences through personalized services.

The Insight Suite provides data enrichment and analytics to support decision-making across the lending lifecycle. It includes products like GoCat for data categorization, GoVerify for financial profiling and income verification, and GoLend for serviceability assessments. These tools are designed to help enterprises make informed, data-driven lending decisions.

MOGOPLUS, a Partner level partner in the Build Engagement Model for Google Cloud, expressed enthusiasm about the launch, highlighting the ease of access to their AI-led solutions via Google Cloud's infrastructure. The partnership allows MOGOPLUS to securely scale and support customers, enabling banks and lenders to realize operational improvements and greater accuracy in lending decisions.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Guide
23 AI meeting assistants for financial advisors

23 AI meeting assistants for financial advisors

What each one captures, what it keeps and which records it changes, from standalone apps to the AI built into advisor CRMs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.