QualGentSpring 2025Active☆Watch⊞Compare

QualGent is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack 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”

AI Mobile App Quality Assurance Tester

QualGent is an AI Mobile App Quality Assurance Tester that mimics a real human, helping teams catch bugs and ship faster - without hiring more QA testers. One customer reached #3 in the Education category on the App Store by improving app quality with QualGent. Mobile bugs hurt: crashes kill ratings, broken checkouts drive churn. QualGent helps teams scale QA effortlessly and avoid Sonos-level disasters. The idea for QualGent was born from the founders’ experience leading engineering teams at Google across Android XR, Stadia, Quick Share, and foldable devices where shipping to billions of users meant constantly facing the painful trade-off between moving fast and maintaining quality. With prior research experience at Nvidia, Maryland, and Berkeley, the team saw a clear opportunity: use AI to scale QA. QualGent’s vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end software development.

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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.

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

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