Companies · Biotech
San Francisco · CA, USA · Biotech · founded 2025 · https://www.frekil.com
Diligence memoA one-page analyst read on Frekil — recommendation, valuation, rhythm, risks.→Frekil: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Frekil is one of 233 Biotech companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks mid-pack (ahead of 67% 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”
RWE Generation in minutes
Today, it takes months to understand how drugs perform in the real world, delaying safety insights and leaving patients exposed to unknown risks and benefits for far too long. Frekil turns that months-long process into minutes, with full auditability and scientific rigor. Frekil accelerates real world evidence (RWE) generation for life sciences companies on their own clinical data from months to minutes. It connects to fragmented clinical data (EHR, Claims, etc.) and lets teams run end-to-end studies from study design, cohort extraction to SAP, statistical analysis, and final reports.
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 233 companies in Biotech. 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 67% of sector peers (real $). Modeled value above 67% 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.
Frekil 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 |
|---|---|---|---|---|---|
| 10x Science | Biotech | — | — | — | same sector |
| 1849 bio | Biotech | — | — | — | same sector |
| 1910 | Biotech | — | — | — | same sector |
| 20n | Biotech | — | — | — | same sector |
| 54Gene, Inc. | Biotech | Series B | $48.3M | $598.4M | same sector |
| Abacus Bioscience Inc. | Biotech | Series A | $4.4M | $46.6M | same sector |
| Abalone Bio | Biotech | — | — | — | same sector |
| Acoustic Wave Cell Therapy, Inc. | Biotech | Series A | $20.5M | $84.9M | 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 |
|---|---|---|---|---|
| Rhizome AI Agent Platform for Life Sciences | AI / ML | — | — | 76% |
| UrbanKisaan Foundation models and autonomous chambers for plant biology | Biotech | — | — | 76% |
| Miracle Accelerate clinical trials with real-time, actionable insights | Biotech | — | — | 75% |
| BioStack Platforms Real world training envs for healthcare AI models | Pharma | — | — | 74% |
| Unima Fast and low-cost diagnostics for real time disease surveillance | Biotech | — | — | 74% |
| BioGreen 360, Inc. | Other Technology | Pre-Seed | $1.8M | 74% |
| Rheos Medicines, Inc. | Biotechnology | Series B | $1.1B | 74% |
| RedShift BioAnalytics, Inc. | Other Technology | Series B | $31.7M | 73% |
See where Frekil sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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