Companies · Biotech
San Francisco · CA, USA · Biotech · founded 2025 · https://exonic.ai
Diligence memoA one-page analyst read on Exonic — recommendation, valuation, rhythm, risks.→Exonic: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Exonic 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”
Unsupervised Biological AI
What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer gene therapies. In 2025, we used AI to set a new state of the art in liver cancer targeted gene therapy, validated in vitro in our lab in San Francisco. So far in 2026, we have trained a new model with unprecedented zero-shot generalization on genomic regulatory expression in hold-out biosample datasets. More to be shared soon.
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.
Exonic 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 |
|---|---|---|---|---|
| Anthrogen We're training the next generation of protein foundation models. | Biotech | — | — | 81% |
| Exin Therapeutics, Inc. AI drug discovery platform for neurotherapeutics | Biotechnology | Seed | $8.5M | 80% |
| WhiteLab Genomics Unleashing the potential of DNA and RNA based therapies using AI | Biotech | — | — | 80% |
| Output Biosciences Teaching Generative AI the Language of Biology | Biotech | — | — | 79% |
| Blank Bio RNA intelligence for precision medicine | Biotech | — | — | 79% |
| 10x Science The AI-native platform for next-generation protein characterization. | Biotech | — | — | 78% |
| Exonics Therapeutics, Inc. | Biotechnology | Series B | $874.9M | 78% |
| BioStack Platforms Real world training envs for healthcare AI models | Pharma | — | — | 78% |
See where Exonic sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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