InfinaSummer 2021Active☆Watch⊞Compare

Infina is one of 196 Crypto / Web3 companies tracked from Ho Chi Minh City, Ho Chi Minh City, Vietnam; Ho Chi Minh City, Vietnam, on record since 2021. By capital raised it ranks in the long tail (ahead of 38% of sector peers), and in the long tail 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”

Leading wealth management and investing platform in Vietnam

Infina is Vietnam's leading wealth management and investing platform (like Groww of Inida and Ajaib of Indonesia). Its mission is to empower retail investors by make investing accessible, frictionless, and safe. The platform is multi-asset, offering stock trading, mutual funds, and fixed-income products, with more asset classes to be added. Infina was founded by James L. Vuong, a Silicon Valley engineer turned VC investor (IDG Ventures) and serial entrepreneur with a prior successful exit in Vietnam (Reddit of Vietnam, which was acquired by LINE corporation in 2017). Investing apps are seeing explosive growth in many markets around the world, including in Vietnam. There is a growing middle class who are hungry to invest in assets like stocks and crypto. We are building Infina to capture this huge opportunity to democratize investing in South East Asia.

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 196 companies in Crypto / Web3. 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 38% of sector peers (real $). Modeled value above 38% 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.

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

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