Companies · Healthtech
San Francisco · CA, USA · Healthtech · founded 2022 · http://www.knowtex.ai/
Diligence memoA one-page analyst read on Knowtex — recommendation, valuation, rhythm, risks.→Knowtex: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Knowtex is one of 2138 Healthtech companies tracked from San Francisco, CA, USA, on record since 2022. By capital raised it ranks in the long tail (ahead of 8% of sector peers), and in the long tail 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”
Making doctors 2x more efficient with AI note-taking & charge capture
We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. Knowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation.
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 2138 companies in Healthtech. 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 8% of sector peers (real $). Modeled value above 8% 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.
Knowtex 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 | Healthtech | — | — | — | same sector |
| 1 Health Providence, Inc. | Healthtech | Pre-Seed | $175K | $1.9M | same sector |
| 4C Health Solutions, Inc. | Healthtech | Seed | $1.3M | $1.9M | same sector |
| Aatru Medical LLC | Healthtech | Seed | $5.7M | $335K | same sector |
| Acolyte Health Inc. | Healthtech | Seed | $2.1M | $1.2M | same sector |
| AcQumen Medical, Inc. | Healthtech | Pre-Seed | $341K | $758K | same sector |
| Adentris | Healthtech | — | — | — | same sector |
| Advanta Health Solutions, Inc. | Healthtech | Pre-Seed | $487K | $2.8M | 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 |
|---|---|---|---|---|
| Codes Health Medical Record Retrieval with Zero Human Error | Legaltech | — | — | 80% |
| 10x AI Sales Teams for Dental Practices | Healthtech | — | — | 79% |
| Latent Medical language models to automate healthcare operations | Healthtech | — | — | 78% |
| Known Medicine Combining 3D cell culture & AI to translate drugs to clinical success | Healthtech | — | — | 78% |
| Arintra Medical coding automation | Healthtech | — | — | 77% |
| Commure, Inc. Commure is reshaping the healthcare landscape with AI-powered solutions that streamline operations, reduce costs, and improve patient and provider experiences. | Healthtech | Growth/Late | $56.3M | 76% |
| Semantix AI for medical billing | AI / ML | — | — | 76% |
| Claim Health AI Revenue Platform for Post-Acute Care | Healthtech | — | — | 76% |
See where Knowtex sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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