TrainzenWinter 2013Inactive☆Watch⊞Compare

Trainzen is one of 262 Edtech companies tracked from Sunnyvale, CA, USA, on record since 2012. By capital raised it ranks in the long tail (ahead of 21% 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”

Educational assessments made easy. Eliminating paper-based exams in…

Terascore is developing an educational tool for teachers to create, administer, and manage tests entirely online. Scores and results are available immediately and teachers get instant analytics on question quality, difficulty, student performance. Any questions created can be stored in a question bank for reuse. Terascore aims to move all tests online and in doing so make learning more effective and teachers more efficient. The results are shortening the feedback loop for learning and are better for teachers and students. Terascore makes creating tests radically easier, as it has a WYSIWYG browser-based test authoring tool. Terascore allows teachers to easily integrate images, links, and videos into tests to make them more fun, engaging, and relevant. The inclusion of mathematic equations is also supported.

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 262 companies in Edtech. 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 21% of sector peers (real $). Modeled value above 21% 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.

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

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