CareerTuWinter 2019Inactive☆Watch⊞Compare

CareerTu is one of 41 Data / Analytics companies tracked from New York, NY, USA, on record since 2018. By capital raised it ranks in the upper tier (ahead of 76% of sector peers), and in the upper tier 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”

Online school for Chinese to learn in-demand digital skills

CareerTu is an online school for today’s most in-demand digital skills, starting with digital marketing, data analytics, and product design. We teach our students real-world business problems via capstone projects to make sure they are equipped with the must-have technical skills. 250+ top companies hired CareerTu students in 14 countries - including Google, Facebook, Microsoft, Amazon, Spotify, Pinterest, LVMH, TikTok, Expedia, Alibaba, Tencent, Meituan etc. CareerTu's mission is to teach students the industry’s most relevant and in-demand skills, making them the ideal hire at their dream companies, in return providing businesses with experienced and reliable talents to increase their efficiency. 华语数字化技能学习平台。通过系统学习高薪数字化技能, 迅速培养新兴行业紧缺的人，为全球14个国家的科技和新零售企业, 不断输送优秀人才。

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 41 companies in Data / Analytics. 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 76% of sector peers (real $). Modeled value above 76% 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.

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

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