Tranqui FinanzasSummer 2019Active☆Watch⊞Compare

Tranqui Finanzas is one of 1063 Fintech companies tracked from Cali, Valle del Cauca, Colombia; Bogotá, Bogota, Colombia; Remote, on record since 2019. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Debt Management for Latin America.

Tranqui is a debt collection company that has revolutionized the industry with its digital-first approach. Utilizing cutting-edge analytics and machine learning, Tranqui offers a more efficient and effective debt collection experience for users. Our technology-driven approach enables us to analyze user data and behavior patterns to develop personalized communication and repayment plans. This ensures that our users receive a tailored experience that is optimized for their individual needs, resulting in a higher success rate for debt repayment. With Tranqui, users can manage their debt repayment on their own terms, from the comfort of their own homes, thanks to our convenient and flexible digital channels. Our approach not only improves the debt collection experience for users but also helps to improve their overall financial health. Choose Tranqui for a better debt collection experience, with 2x the effectiveness of traditional debt collection methods.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Tranqui Finanzas is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Tranqui Finanzas sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Tranqui Finanzas, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.