MarqVisionSummer 2021Active☆Watch⊞Compare

MarqVision is one of 43 Legaltech companies tracked from San Francisco, CA, USA, 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”

IP operating software for brands and content companies

MarqVision’s mission is to protect and build a future shaped by original ideas, innovations, and creativity. As a leading online brand protection solution, we help global brands identify and remove counterfeits and combat piracy from over 1,500 platforms and thousands of rogue websites in over 118 countries. In a time when counterfeiting poses an increasingly serious challenge, we believe that democratizing legal expertise and access to the latest in generative AI technology is critical for continuing to support the inventors, developers, and artists of the world who work tirelessly to deliver safe, high-quality products. MarqVision’s technology powers everything from detection, monitoring, and even enforcement to protect brands at scale. Founded in 2020 by Harvard Law graduates, MarqVision is proudly backed by Altos Ventures, DST Global Partners, Softbank, Atinum Investments and Y Combinator. Our commitment to innovation has also been recognized with a prestigious 2022 Innovation Award from LVMH Louis Vuitton Moët Hennessy (LVMH), and we are honored to be part of the LVMH accelerator program, La Maison des Startups, at the Station F incubator. As we bring forth the next evolution of brand protection, we invite businesses everywhere to join us in safeguarding the creativity that drives our world.

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 43 companies in Legaltech. 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.

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

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