Total complaints
1
Filed since Regu
1 consumer complaints recorded in the CFPB Consumer Complaint Database, with breakdowns by product, state, and complaint year.
1 consumer complaints filed with the CFPB
This profile shows Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data's complaint history from CFPB public records. 1 consumers have filed complaints since Regu. The company has a 0% timely response rate and has provided relief in 0% of cases.
Total complaints
1
Filed since Regu
Timely response
0%
CFPB-tracked response window
Relief rate
0%
Closed with monetary or non-monetary relief
CFPB benchmark: response within 15 calendar days of filing.
Share closed with monetary or non-monetary relief.
How Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data's 1 complaints split across CFPB product categories. Resolution rate badge = % closed with monetary or non-monetary relief.
| Product | Complaints |
|---|---|
| I am working today '' ( manual follow-up ) Demand for Immediate Action Pursuant to 12 U.S.C. 5563 | 1 |
| State | Complaints |
|---|---|
| including factors such as educational background. This data set has been widely criticized as reinforcing XXXX and socioeconomic bias. | 1 |
| Issue | Complaints |
|---|---|
| but part of a larger pattern of AI discrimination and regulatory evasion. I am requesting an immediate investigation into upstart and XXXX XXXX XXXX ( FDIC # XXXX ) | 1 |
Source: CFPB Consumer Complaint Database CFPB Consumer Complaint Database
Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data has accumulated 1 consumer complaint in the CFPB public database, with filings active across 1 U.S. state. Of those submissions, 1 includes a consumer narrative — the verbatim description of the reported problem that the CFPB collects alongside each filing. The earliest complaint on file dates back to Regu, and the most recent logged activity is Regulatory, giving this record a multi-year window of observable consumer sentiment.
Looking at response behavior, Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data reports a 0% timely-response rate and has closed 0% of cases with a written explanation to the consumer. 0% of complaints were closed with monetary or non-monetary relief — an outcome signal that tracks how often consumers walked away with some form of remediation. A further 0% of responses were formally disputed by the consumer after the company replied, a useful marker of resolution quality independent of sheer volume. The most-reported product category for this record is "I am working today '' ( manual follow-up ) Demand for Immediate Action Pursuant to 12 U.S.C. 5563", and the single most common underlying issue is "but part of a larger pattern of AI discrimination and regulatory evasion. I am requesting an immediate investigation into upstart and XXXX XXXX XXXX ( FDIC # XXXX )".
Complaint volume is heavily influenced by company size, customer base, and market footprint — larger financial institutions routinely carry more filings purely because they serve more consumers. A complaint is a consumer-reported allegation, not proven wrongdoing, and a timely or relief-flagged closure does not by itself confirm fault. Use this page as one input among many when evaluating Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data: cross-check against the CFPB Consumer Complaint Database directly, review your own contract terms, and consult a licensed professional for financial, legal, or regulatory advice. This page is informational only.
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Disclaimer: This data is from CFPB public records. PlainComplaint does not provide financial advice. A complaint does not indicate that a company has violated any law or regulation. Complaint volumes are influenced by company size, customer base, and market presence. Use this data as one of many inputs when evaluating a company.
Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data has received 1 consumer complaints filed with the Consumer Financial Protection Bureau.
Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data has a 0% timely response rate to CFPB complaints.
The most common issue reported against Upstarts platform relies on Machine Learning ( ML ) and Artificial Intelligence ( AI ) to evaluate creditworthiness using non-traditional data is "but part of a larger pattern of AI discrimination and regulatory evasion. I am requesting an immediate investigation into upstart and XXXX XXXX XXXX ( FDIC # XXXX )" in the "I am working today '' ( manual follow-up ) Demand for Immediate Action Pursuant to 12 U.S.C. 5563" product category.
Read our methodology — how this data is sourced, computed, and verified.