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MO Tecnologias

Fintech · Bogotá, Colombia · Founded 2016

Innovative credit scoring model for financial companies MoreLess

MO Tecnologias, which now operates as MO Credit Management Platform, was founded in 2016 by Paolo Fidanza and Veronica Crisafulli. The company was established with the goal of promoting financial inclusion by leveraging technology to provide credit access to individuals without a formal credit history. Co-founder Paolo Fidanza, a serial tech entrepreneur with a Master's in Aerospace Engineering, served as CEO until mid-2021. Veronica Crisafulli, who has a background as a strategy consultant for tech and financial firms like Bain & Company and Mastercard, is the current CEO. The founders' combined expertise in technology and strategic finance shaped the company's mission to address the gap in traditional credit systems.

The company operates on a B2B, "Credit-as-a-Service" model, providing its technology to both financial and non-financial companies. Its clients include banks, lenders, digital wallets, and neo-banks, as well as businesses in sectors like consumer-packaged goods, ride-hailing, and gig economy platforms that want to offer credit products to their ecosystems. Revenue is generated through a SaaS model, enabling these client companies to launch, manage, and scale their own credit operations. Headquartered in Bogota, Colombia, the firm has a significant presence in Latin America. A key milestone was a seed funding round on November 9, 2020, led by Mastercard, which is also an institutional investor alongside CZV Capital and Newchip.

MO's core offering is a cloud-native, API-first credit management platform that digitizes the entire credit lifecycle. This platform is divided into two main products: the Credit Card Core and the Lending Core. The system allows clients to create highly configurable credit products, supporting various use cases such as credit cards, Buy Now, Pay Later (BNPL), installment loans, and cash advances with over 200 configurable parameters. A central feature is its proprietary credit scoring technology that uses artificial intelligence, machine learning, and alternative data—including location intelligence through a partnership with Esri—to assess the creditworthiness of individuals with thin or no credit files. This enables lenders to serve unbanked or underbanked populations. The platform's architecture is designed for agile deployment, allowing clients to launch credit programs in weeks rather than months, and integrates with a pre-built ecosystem of partners for services like KYC, risk decisioning, and payment processing.

Keywords: Credit-as-a-Service, loan management platform, alternative credit scoring, financial inclusion, B2B fintech, digital lending, API-first, cloud-native, credit lifecycle management, Paolo Fidanza, Veronica Crisafulli, Latin America fintech, credit core, lending core, BNPL platform, AI credit scoring, machine learning, embedded finance, SaaS, credit risk analysis, unbanked services

Talent graph

MO Tecnologias's talent

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Team profiled 12 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 5 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

1 investor on MO Tecnologias's cap table

Sourced from Dealroom's funding and investor records.

Series B+ 1 investor entered at this stage
Google for Startups Accelerator

Global footprint

Where MO Tecnologias has talent and traffic

Workforce by country
3 countries with
team presence
🇨🇴 Colombia91.1%
🇵🇪 Peru6.7%
🇺🇸 United States2.2%
3 countries shown
Web traffic by country
870 monthly visits
across markets
🇲🇽 Mexico103.4%
Top 1 markets shown

Market sentiment

What the market is saying about MO Tecnologias

An AI-synthesized read of the highest-engagement posts about MO Tecnologias on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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