PandaiSummer 2021Active☆Watch⊞Compare

Pandai is one of 381 SaaS / Software companies tracked from Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, on record since 2021. By capital raised it ranks in the upper tier (ahead of 86% 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”

Learning app for school students in Southeast Asia

💡 What is Pandai? Pandai is an app that helps students get better grades in school. Pandai provides gamified quizzes aligned to a specific school curriculum, from which students can learn, practice, get feedback, and diagnose their weaknesses. 🔥 Why do we build this? In Southeast Asia, the education system is competitive and exam-oriented. There is a huge demand for interventions (tutors, workbooks, and extra classes) to help students perform better in school. Pandai fills the demand with a solution that is better than the alternatives. 👨‍🏫 Who We Are The three founders are based in Malaysia and have known each other since high school, 23 years ago. After we graduated (from MIT & other US colleges), we started our first education company in 2007, focusing on coaching school students in STEM subjects. We worked closely with students (many of them from underprivileged backgrounds) and saw firsthand the impact we’ve had on them. We then realized that with technology, we could reach more students and bring more impact. Hence, we released Pandai in 2020. 🚀 Present & Future Currently, we have launched in our home ground Malaysia in 2020. So far, 280,000 students have completed 83 million questions on Pandai, and 92% of users have seen some improvement in their academic performance. We plan to expand to Southeast Asia and other emerging markets, a market of 100M+ school students. Pandai is designed to be scalable, and our content (also available in English) can be mapped to other curricula from other countries.

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 381 companies in SaaS / Software. 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 86% of sector peers (real $). Modeled value above 86% 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.

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

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