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Quipu

AI-generated working estimate based on public information / opinion & commentary, not a statement of fact / corrections & rebuttals welcome

Quipu

A “credit bureau” for the informal economy

B
NARRATIVE VALUE
Certainty
●●○ medium
ABCDEFG

There is no confirmed −; independently verified + decide the position (B). No unreachable strike-through.= non-additive meter

As of: 2026-Q2Status: ActiveCustomer type: Micro-entrepreneursCeiling reason: No confirmed −
History2026-Q2BHistory grows each quarter

Quipu: A “credit bureau” for the informal economy. The letter is B; certainty is medium. Unconfirmed concerns are placed under “Watching.” (As of 2026-Q2; estimate based on public information.)

Main narrative

Quipu is a Colombia-born “credit bureau for the informal economy” that assesses the repayment capacity of micro-businesses and the self-employed who lack formal credit history, using alternative data — social media, inventory, daily transactions — and AI. Its name comes from the quipu, the knotted cords the Inca used for records. In 2021, Mercedes Bidart and others incubated it at MIT DesignX. In Colombia, only 9% of 6 million micro-entrepreneurs can access formal credit, and many rely on predatory informal lenders. Rather than competing with banks, Quipu positions itself as a technology base that provides an alternative-score API to financial institutions, opening credit to “people who were previously invisible.” A GenAI assistant, “Edubot,” on WhatsApp also helps run their businesses. It has scored 300,000 people cumulatively, lent to about 26,000 businesses (over $7 million), about 50–60% of users are women, and 90% of them are “blacklisted” by existing credit records. It has been named to Fast Company's most innovative companies in Latin America (2022), the Mastercard and data.org AI challenge, and the Cartier Women's Initiative (2024).

One person’s story (N1)

+ before → after

Rosa, in Barranquilla, Colombia, began sewing colorful hand-woven totes and bucket bags at home, and her daughter built a following on Instagram and Facebook. When she tried to hire people and open a shop, she hit the wall of the informal economy — her business was growing, but with no formal credit history she was denied a loan. Quipu said, “We want to see not your past payment record but your present and your potential,” making her creditworthiness visible with alternative data.

Source nature: Mastercard(Newsroom) / P2 independent media (Mastercard). Positive effects are not used to offset negatives.

Positive / negative effects

+ effects

  • Quipu uses alternative data and AI to assess the repayment capacity of micro-businesses without formal credit history, having scored 300,000 people cumulatively and lent over $7 million to about 26,000 businesses. About 50–60% of users are women, 90% of them “blacklisted” by existing credit records. Rather than competing with banks, it opens its score API to financial institutions. It has been named to Fast Company's most innovative companies in Latin America (2022), the Mastercard × data.org AI2AI challenge, and the Cartier Women's Initiative (2024).P1 independent evaluation (Fast Company / Mastercard / Cartier) / data.org / Center for a Digital Future

− effects (confirmed)

  • No confirmed −.
Watching (unconfirmed; not counted in the assessment)
  • General over-indebtedness and interest-transparency risks of interest-bearing lending to vulnerable groups (no confirmed harm verified)
  • Independent verification of reach and loan figures
Looking ahead (not included in the assessment)
  • Expanding integration of the alternative-score API into financial institutions, spreading across Latin America, and strengthening technology and data via fundraising.

A second look

The core + is financial inclusion and access to working capital for informal businesses (especially women) excluded from credit (people), backed by Fast Company, Mastercard, Cartier, and Mercy Corps Ventures. That said, at its core this is interest-bearing lending to a vulnerable group, and interest levels, repayment-term transparency, and over-indebtedness risk are structurally attached. It is said to be fairer than predatory lenders, but as no confirmed harm is verified, it is kept under watch. Reach and loan figures rest mainly on self-reporting.

Sources

+N1Mastercard(Newsroom)|2025-09-24|🔗
+ effectdata.org / Center for a Digital Future|2026-05-27|🔗
Watching2026|🔗

How to read this assessment

A Independently verified +, with no confirmed −
B Leans +, with independent backing
C Mixed. A confirmed − sets the ceiling, or much is unverified
D A serious confirmed − sets the ceiling
E A serious − reaches the core of the organization
F Serious and systemic, with little redeeming +
G Only extreme cases
Out of scope An entity whose core purpose is illegal
On hold Independent evidence is scarce on both + and −
  • Reachable upper bound (ceiling): a confirmed − sets the ceiling, and independently verified + decide the position within it. + do not cancel out −.
  • The weight of evidence is not symmetric: only confirmed − are counted; the volume of disputes or allegations goes under “Watching.” + are counted from independent evidence, while an organization’s own PR is treated as “reference.”
  • Size is not value: scale is not used in the assessment. Matters that stay within money or competition—investors, shareholders, sanctions, trade secrets—are also excluded.
  • The letter (assessment) and certainty (how reliable the information is) are separate axes.

This is a translation; the Japanese version is authoritative. The assessments here are generated automatically by AI based on published criteria. The operator does not alter individual results. Because they are AI-generated they may contain errors, and they are opinion and commentary, not statements of fact. Where evidence is insufficient, the entry is marked “On hold.” Requests for correction are accepted via the form.

Terms: Narrative Value = an assessment (A–G) of the distance between the story an organization tells and its reality / Ceiling meter = a visualization of the reachable upper bound / Watching = unconfirmed matters not counted / Protected stakeholders = people, animals, nature, and future generations. | Generated by: AI | As of: 2026-Q2 | Back to top