RocketLitSummer 2016Active☆Watch⊞Compare

RocketLit is one of 262 Edtech companies tracked from Santa Monica, CA, USA; Remote, on record since 2016. 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”

RocketLit is an adaptive learning and assessment platform.

RocketLit gives all students better access to learning and educators access to the data they need to be most impactful. Our first product, RocketLit, is an adaptive and personalized learning platform that serves reading to students at their independent level. Students read the same content at different levels of complexity and fluidly move up reading levels as they improve. InnerOrbit is our new Science Assessment platform, giving students, teachers and administrators the practice and data they need to be successful on science tests. We serve the highest quality content and feature the most detailed reporting on the market. We’re a small and focused team working to change the world through science education. Our company has served over 650k students and we’re on track to more than double that number in the next year. We’re looking for folks who’ll grow into a leadership role within the organization.

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.

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

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