Los Angeles · CA, USA · founded 2017 · https://www.aesculatech.com/
Diligence memoA one-page analyst read on AesculaTech — recommendation, valuation, rhythm, risks.→AesculaTech: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
Responsive materials, better lives.
AesculaTech believes in building better lives through smart chemistry. We design custom smart materials for a range of biomedical, commercial, and industrial applications. Our platform technology, AesculaGel offers adaptive response to a wide range of stimuli and can be tailor-made for biocompatibility, material strength, and a range of other attributes. Founded by one of MIT's 35 under 35 Innovators, AesculaTech is the shared vision of scientists, engineers, and medical experts. Our cornerstone product, Humidifeye, is an ophthalmic platform to treat dry eye disease. Dry eye affects more than 25 million Americans and the global treatment market is projected higher than $6 Billion within the next decade. Our thermally responsive, form-fitting materials are suitable for sustained yet reversible occlusion across a range of treatment times. In contrast to existing technologies, our product will not extrude, or cause discomfort as it adapts to patients. Though Humidifeye is not yet FDA approved, expect to hear about it soon! In coordination with partners across several sectors, we have a variety of groundbreaking technologies in the works that live up to our vision. This work has already been recognized. AesculaTech was named a Rosenman Innovator, received a National Science Foundation I-Corps grant, was a finalist in the 2019 Octane High Tech Awards, and is a graduate of both the Y Combinator and TMCx accelerator programs. In short, Y-Combinator was only the beginning.
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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.
AesculaTech is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
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 |
|---|---|---|---|---|
| Vascudyne, Inc. | Other Technology | Series B | $346.0M | 72% |
| Digistain Pioneering Breast Cancer Diagnostics for a Healthier Tomorrow | Medical Devices | — | — | 71% |
| Nabla Bio We use AI to design antibodies for intractable diseases | Biotech | — | — | 71% |
| Ångström AI Gen AI molecular simulations that reproduce wetlab results | Biotech | — | — | 71% |
| Innova Vascular, Inc. | Other Technology | Series A | $38.5M | 71% |
| BioLattice Ophthalmics, Inc, | Biotechnology | Pre-Seed | $935K | 70% |
| Forcyte Biotechnologies, Inc. Discover drugs that control how much cells "squeeze" to treat disease | Pharma | Pre-Seed | $7.6M | 70% |
| Mindstate Design Labs, Inc. Clinical-stage AI neuroengineering platform | Biotech | Series A | $56.1M | 70% |
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