FrizzleSummer 2025Active☆Watch⊞Compare

Frizzle is one of 2067 AI / ML companies tracked from New York City, NY, 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 Grading for Teachers

Frizzle uses AI to grade handwritten math assignments for teachers and transform them into rich analytics and differentiated assessment to help personalize instruction for every student. Teachers spend over 10 hours a week or 25% of all their work grading - Frizzle does it in minutes. Frizzle is the most valuable piece of software for teachers ever, as it eliminates the most time-consuming part of their workflow so they can focus on teaching. Frizzle shifts education from waterfall to agile learning. Instead of waiting for end-of-unit tests to discover gaps, teachers get continuous, real-time insight into student thinking from everyday work. Feedback becomes immediate, instruction adapts weekly, and learning iterates (measure, adjust, improve) so every student progresses faster with less teacher burnout. Frizzle was named an official White House AI Education Partner alongside OpenAI and Meta: https://www.whitehouse.gov/edai/. Frizzle was co-founded by Abhay Gupta and Shyam Sai, who met in high school over 10 years ago.

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.

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

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