Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2024 · https://www.freestyle.sh
Diligence memoA one-page analyst read on Freestyle — recommendation, valuation, rhythm, risks.→Freestyle: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Freestyle is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2024. 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”
We run and deploy code your AI wrote
Ben and Jacob met in Calculus class in 10th grade, and tried founding a startup in high school — it didn’t go anywhere. During high school, Ben lead the frontend team for the World Health Organization’s COVID-19 App Team. After high school, Jacob went to Apple and Ben went to college. When there was an opening on his team, Jacob had Ben apply, and Ben left UChicago to go work at Apple. They spent about 2 years at Apple as Senior Engineers in the Conversational Engineering Department, before leaving to found Freestyle. Freestyle is directly inspired by what they saw as their failures of the tech they worked with at Apple.
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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Freestyle 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.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 14.ai | AI / ML | — | — | — | same sector |
| 21st | AI / ML | — | — | — | same sector |
| Absurd | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Aether | AI / ML | — | — | — | same sector |
| AfterQuery | AI / ML | — | — | — | same sector |
| AgentMail | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Codecademy The leading online learning platform for technical skills. | Edtech | — | — | 74% |
| Startup Coach AI Inc | AI / ML | Pre-Seed | $917K | 74% |
| Hello Chair | AI / ML | — | — | 73% |
| authzed Authorization Infrastructure securing AI at OpenAI, Zoom, & more | AI / ML | — | — | 73% |
| Wordware AI agents you can rely on | AI / ML | — | — | 72% |
| Perfectly The AI-native Recruiting OS | AI / ML | — | — | 72% |
| Taskade One prompt. One app. One living workspace for teams. | SaaS / Software | — | — | 72% |
| Clueso Create beautiful videos & docs for any product or process in minutes | AI / ML | — | — | 71% |
See where Freestyle sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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