Floowed vs Zest AI: Credit Scoring Meets Credit Decisioning

TL;DR

Floowed and Zest AI are partial competitors that started in different places. Zest AI is a machine learning scoring engine that extended into decisioning workflows; the score is the anchor. Floowed is a credit decisioning platform with no proprietary score: it ingests documents, runs your policy in a no-code canvas, and orchestrates any score (FICO, Zest, CredoLab, in-house) into a final decision. Different center of gravity, different buyer, different geography.

The short answer

Pick Zest AI if you are a US bank, credit union, or auto lender that wants a custom ML underwriting model trained on FCRA-compliant bureau data, with the regulatory documentation and Model Risk Management package that US examiners expect. Zest is the strongest pure-play in that lane, with named customers like Citibank, Discover, Truist, and dozens of credit unions.

Pick Floowed if you are a lender outside the US, or if you want a score-agnostic decisioning layer where your credit officers edit policy in plain English, document intake is automated end to end, and you are live in a week instead of a quarter. Floowed runs globally with HQ in Singapore. For the underlying category split, see our deeper write-up on credit decisioning vs credit scoring.

Quick comparison

Are they actually competitors?

Honestly, only partly. Zest AI began life in 2009 as ZestFinance, a machine learning scoring company. Scoring is still the gravitational center of the product, even as the company has built out auto-decisioning, fraud detection (Zest Protect, launched August 2024), Model Risk Management documentation, and a Temenos-native embed (April 2025). Zest now markets itself as "AI-Automated Credit Underwriting" and claims to auto-decision 80% of applications. That is a real decisioning footprint, and in the US it overlaps with what Floowed does.

Floowed went the other way. We built decisioning first and never shipped a score. The Decisioning Canvas is where credit officers compose policy: ingest a payslip, pull a bureau report, call a fraud signal, branch on debt-to-income, escalate edge cases for human review. Any score can plug in as an input, including Zest's. We are the orchestration layer, not the model factory.

Geography settles the rest. Zest AI is US-only. FCRA and MRM compliance, the bureau data they train on, and the credit union channel they sell into are all US-specific. In Southeast Asia, Latin America, Africa, and most of Europe, Zest is not on the shortlist. Floowed is. So in the US, we overlap on the decisioning workflow story. Outside the US, we are not in the same room.

Where Zest AI is stronger

• ML scoring depth. Sixteen years of model development on FCRA-compliant bureau data. If you want a custom ML model that lifts approvals on protected classes (Zest cites a +30% average), this is the strongest pure-play option in the US.
• Model Risk Management documentation. Zest auto-generates the model validation, fairness testing, and ongoing monitoring artifacts that US regulators expect. This is non-trivial work that they package well.
• US credit union and bank relationships. Citibank, Discover, Truist, Freddie Mac, First National Bank of Omaha, VyStar, Suncoast, Golden 1. Deep references in the segments they sell to.
• LOS-native distribution. Native Temenos integration as of April 2025, plus MeridianLink and Origence partnerships. If you already run Temenos, Zest is a click away.
• Fraud module. Zest Protect bundles fraud detection with scoring, distributed through MeridianLink since February 2025. Useful if you want one vendor for both signals.

Where Floowed is stronger

• Score-agnostic decisioning. Floowed runs your policy across any combination of FICO, Zest, CredoLab, Trusting Social, in-house models, or your own rules. You are not locked into one model vendor's worldview.
• Plain-English policy editing. The Decisioning Canvas lets credit officers edit rules directly. No data scientist required to change a cut-off, add an exception, or branch on a new attribute.
• Native document intelligence. Floowed reads handwritten, scanned, and photographed bank statements, payslips, and IDs end to end. In emerging markets where digital bureau coverage is thin, this is the bottleneck. Zest does not solve it.
• Global coverage. Singapore HQ, customers across Southeast Asia and beyond. Zest does not operate outside the US.
• Transparent pricing and same-week activation. Core at $399/mo on annual, Scale at $799 annual or $999 monthly, Enterprise custom. No procurement RFP, no professional services minimum, no six-month implementation. Live in a week.

When to choose Zest AI

You are a US bank, credit union, or specialty lender. Your bottleneck is approval rates on thin-file or protected-class applicants, and you believe a custom ML model will move the curve. You have the regulatory appetite and budget for an enterprise SaaS contract, you can absorb an implementation cycle, and your LOS is Temenos, MeridianLink, or Origence so the integration is mostly done. You want one vendor for scoring, decisioning, and fraud, and you are comfortable with a model-led rather than policy-led approach.

When to choose Floowed

You operate outside the US, or you operate in the US but want a decisioning layer that does not lock you into one model vendor. Your credit officers want to own policy directly, in plain English, without filing a ticket every time a cut-off needs to move. Document intake is a real bottleneck: bank statements arrive as photos, payslips are scanned, IDs are mixed formats. You want to be live this month, not next quarter. You may already use a score (Zest, FICO, CredoLab, your own) and you want decisioning that orchestrates it, not replaces it. For adjacent comparisons, see Floowed vs Taktile and Floowed vs Provenir.

Pricing

Floowed publishes pricing. Core is $399/mo on annual billing, $499 monthly. Scale is $799/mo annual or $999/mo monthly. Enterprise is custom. No professional services minimum, no implementation fee floor. Most customers are live in the first week.

Zest AI is enterprise SaaS, custom contracts, pricing not publicly disclosed. There is no free trial, only a sales-led demo cycle. Implementation is a project, not a self-serve flow. Buyers should expect a six- to twelve-week procurement and integration timeline depending on LOS readiness.

Geography

Zest AI is United States only. Their value is built on FCRA-compliant bureau data, US Model Risk Management documentation, and distribution through US LOS partners and credit union service organizations. There is no Zest entity, sales motion, or compliance package in Southeast Asia, Latin America, Africa, or Europe.

Floowed is global. HQ is Singapore. Customers run across multiple jurisdictions. The platform does not depend on any one bureau or regulatory regime, which is part of why score-agnostic decisioning matters: a lender in the Philippines, Indonesia, or the UK does not have FICO or a Zest model to plug in, but they still need a decisioning layer.

The bottom line

Credit scoring tells you the risk of a borrower. Credit decisioning tells you what to do about it. Zest AI is the strongest US pure-play on the scoring side, with a credible decisioning extension layered on top of an ML model. Floowed is decisioning that orchestrates any score, runs globally, lets credit officers own policy directly, and reads the documents that real-world underwriting actually arrives in. If you are a US lender choosing a model factory, Zest is on the shortlist. If you are anyone else choosing how to make decisions, Floowed is.

FAQ

Is Zest AI available outside the US?

No. Zest AI operates in the United States only. Their compliance package (FCRA, Model Risk Management) and bureau data partnerships are US-specific. There is no SEA, LATAM, or EU presence as of this writing.

Is Zest AI a scoring platform or a decisioning platform?

Both, with scoring as the anchor. Zest started as ZestFinance in 2009 building ML credit scoring models. They have since extended into auto-decisioning, workflow automation, MRM documentation, and fraud detection. The product still leads with the model, with decisioning bundled around it.

Can Floowed integrate with Zest AI scores as inputs?

In principle, yes. Floowed is score-agnostic by design. If a US lender uses a Zest model and wants Floowed as the decisioning and document intelligence layer on top, the score becomes one input alongside bureau data, KYC signals, and document-extracted attributes. In practice this is rare today because Zest customers are typically already using Zest's own decisioning workflow.

How does Zest AI's auto-decisioning differ from Floowed's Decisioning Canvas?

Zest's auto-decisioning is model-led. The ML model produces a score and the workflow optimizes cut-offs around it, with credit teams tuning policy through the Model Management System. Floowed's Decisioning Canvas is policy-led. Credit officers compose rules in plain English, branch on any attribute (including external scores), and edit policy directly without retraining a model.

What is Model Risk Management and does Floowed support it?

Model Risk Management is the US regulatory framework (SR 11-7 and related guidance) requiring banks to validate, monitor, and document the models they use in lending decisions. Zest auto-generates this documentation for their ML models. Floowed does not produce a proprietary score, so MRM in the Zest sense does not apply. Floowed does provide full audit trails, version history, and decision logs for every policy change in the canvas, which supports the equivalent governance need for rules-based decisioning.

Does Zest AI have native document intelligence?

Not as a primary capability. Zest is built around structured bureau and application data. Document intake (handwritten bank statements, scanned payslips, photographed IDs) is not the lane they sell into. Floowed treats it as a first-class part of the platform.

Book a walkthrough

See the Decisioning Canvas with your own policy and your own documents. Book a 45-minute walkthrough and we will show you how Floowed sits across documents, data, and decisioning, with any score you choose plugged in.