Prism Data vs Upstart (2026)
Both sell a pooled model, and this pair decides whose data built the pool you join. Prism Data's score is consortium trained on millions of anonymised, consumer permissioned records spanning many banks, credit products and customer segments, de identified before it reaches the company, so the contribution is consented and named. Upstart's pool is the marketplace itself: models optimise daily against loan level repayment and delinquency data across more than 100 partners, so every institution's borrower outcomes help price credit for its competitors, and nothing published states whether a partner may decline to contribute or what becomes of its contribution on exit. Neither publishes the assurance layer underneath. Both sit at C on security certifications and C on deployment and data residency in the AI FinTech Index, with no attestation and no hosting region on either side while both run consumer credit decisions at national scale. Buy Prism Data as an input to a policy you own. Buy Upstart as the policy.
- You are lending to thin file, no file or stale file applicants a bureau score cannot assess. FinRegLab's 2019 study with Charles River Associates found cash flow models predicted creditworthiness within protected populations at least as well as traditional scores, and better in select cases.
- The declined applicant has to be able to do something about it. Adverse action reason codes ship with the score, the consumer reporting agency channel carries statutory dispute and correction rights, and the non agency route publishes a sixty day request right.
- You need the data path documented for your examiner. Client systems or any aggregator pull the deposit data, it is de identified before Prism Data receives it, and outputs return through a single endpoint, a decision engine such as Provenir, or Equifax's own open banking product set.
- You want a consumer lending programme rather than components. More than 90 percent of loans complete fully automated across 100 plus bank and credit union partners, spanning personal, auto, home equity and small dollar relief lending under one implementation and one compliance relationship.
- Your fair lending committee wants published outcomes, not assurances. Upstart publishes annual approval and pricing comparisons by borrower race and ethnicity, and the Consumer Financial Protection Bureau reported approval increases of 23 to 29 percent across tested segments based on Upstart's analysis.
- You would rather your counterparty be supervised than merely compliant. 248 state lending licences, a published mortgage licensing identifier, a national bank charter application and a Federal Register submission on how partners should oversee the relationship make this a regulated entity.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Prism Data and Upstart are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Prism Data | Upstart | |
|---|---|---|
| Primary category | Credit Decisioning & Underwriting | Credit Decisioning & Underwriting |
| Founded | Not published | 2012 |
| Headquarters | New York, New York, United States | San Mateo, California, United States |
| Website | www.prismdata.com | www.upstart.com |
Side by Side
| Axis | P Prism Data |
U Upstart |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Prism Data
Prism Data is a New York based cash flow underwriting company whose CashScore turns consumer bank account transaction history into a three digit score lenders drop into existing credit policies alongside a bureau score. The AI FinTech Index grades it A on GLBA and data privacy posture, A on regulatory status and licensure, A on AI governance and bias disclosure, A on liability and recourse and A on core systems and integration depth, and it documents seven of the nine regulatory axes the index tracks. The distinguishing feature is the data path: deposit account data is de identified before the company receives it, and the consortium behind the score is built from anonymised, consumer permissioned records across many banks, products and customer segments. Its weakest disclosures are security certifications and deployment residency, both graded C, with no attestation and no hosting region published.
Source: AI FinTech Index, 2026
Upstart
Upstart is a San Mateo based artificial intelligence lending marketplace through which more than 100 banks and credit unions originate consumer credit using its underwriting models, with more than 90 percent of loans completing fully automated and the partner remaining lender of record. The AI FinTech Index grades it A on regulatory status and licensure, A on AI governance and bias disclosure and A on model risk management and transparency, and it documents six of the nine regulatory axes the index tracks. It maintains 248 state lending licences and has applied for a national bank charter to be held in a separately regulated sister company. Its fair lending evidence originated under a Consumer Financial Protection Bureau no action letter issued in 2017 and terminated in 2022, under which the Bureau reported approval increases of 23 to 29 percent and rate reductions of 15 to 17 percent across tested segments based on Upstart's own analysis. Autonomy and oversight, security certifications and deployment residency are each graded C.
Source: AI FinTech Index, 2026
Common questions
Is Prism Data better than Upstart for consumer lending?
They are not substitutes, so better depends on what you are buying. Prism Data sells an input: a cash flow score and attribute set that drops into a credit policy you continue to own, delivered through any aggregator, a decision engine, a single endpoint interface or a major credit bureau's own product set. Upstart sells the outcome: more than 90 percent of loans fully automated across over 100 bank and credit union partners, with the partner remaining lender of record but the underwriting model supplied and retrained by Upstart daily. If you have a credit policy you intend to keep, Prism Data is the purchase. If the reason you are shopping is that building and maintaining one is the problem, Upstart is. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How much do Prism Data and Upstart cost?
Neither publishes a rate card. Prism Data gives no pricing, packaging or basis of charge, and it sells several scores and attribute sets that would ordinarily price separately, plus a second commercial route through a credit bureau that is equally undescribed. Upstart states that it seeks to set transparent pricing of services for its bank partners, and as a listed company its revenue composition and fee structure appear in periodic filings any prospective partner can read before a sales call. Neither lets you compare a number without negotiating. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Does either vendor let us keep our own underwriting model?
Prism Data does by design. The output is a score plus reason codes that a lender applies inside its own credit policy, positioned as additive to conventional assessment rather than a replacement. Upstart does not, and is explicit about it: the partner sets credit policy, business objectives and risk appetite, but the model weighing more than 3,000 variables belongs to Upstart and retrains against loan level repayment data arriving across the whole partner base each business day. Control at design time is real at Upstart. Control at decision time is not described, with no referral threshold, manual review path or confidence exposure published. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Prism Data and Upstart?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified. Across the nine regulatory axes, Prism Data documents seven at A or B and Upstart six. The AI FinTech Index does not aggregate grades into a composite score, so it declares no overall winner. What the counts measure is how much of the regulatory record a buyer can read before the first sales call, which predicts the length of a diligence process rather than the quality of a control.
Which of the two gives a declined applicant a route to contest the decision?
Prism Data reaches the applicant further. Adverse action reason codes ship with the score, delivery through a consumer reporting agency channel brings the statutory dispute and correction apparatus with it, and the company publishes the mechanics of the alternative path, including a consumer's right to request within sixty days the nature of non agency information used against them. Upstart's applicant relies on the partner bank or credit union, which is lender of record and carries the adverse action and equal credit opportunity duties, and Upstart names fair credit reporting compliance. Neither describes a correction process for a decision traced to a model error rather than to bad data. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Does either one publish how its model performs across demographic groups?
Upstart does. It publishes annual approval and pricing comparisons by borrower race and ethnicity against a benchmark of its own construction, and the Consumer Financial Protection Bureau reported the results under a no action letter issued in 2017, finding approval increases of 23 to 29 percent and average rate reductions of 15 to 17 percent across tested race, ethnicity and gender segments based on Upstart's own analysis. Three qualifications belong on the record: the benchmark is Upstart's own, the Bureau terminated the letter in 2022, and a fair lending monitorship by the law firm Relman Colfax found approval disparities in first quarter 2022 data. Prism Data publishes no demographic breakdown itself, though FinRegLab's 2019 study with Charles River Associates examined cash flow underwriting across six non bank lenders including users of its score and found the models predicted creditworthiness within protected populations at least as well as traditional scores. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Credit Decisioning & Underwriting page.
Both headline performance claims are vendor constructed and neither is an independent result. Upstart states 43 percent more approvals at 33 percent lower rates measured against a benchmark of its own design, and Prism Data's improvement figure is described as an average from its own analysis across client portfolios with no absolute number published.
Upstart's fair lending evidence rests on analyses conducted under a Consumer Financial Protection Bureau no action letter issued in 2017, which the Bureau terminated in 2022, and a fair lending monitorship of the model by the law firm Relman Colfax identified approval disparities in first quarter 2022 data. Upstart's filings separately disclose that one customer generated roughly a third of revenue in the most recent year.