Companies · Mobility / Logistics
San Francisco · CA, USA · Mobility / Logistics · founded 2025 · https://pranadoc.com
Diligence memoA one-page analyst read on Prana — recommendation, valuation, rhythm, risks.→Prana: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Prana is one of 431 Mobility / Logistics companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks mid-pack (ahead of 68% 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”
An AI primary care doctor in your pocket
Prana replaces the reactive, 15-minute annual physical with continuous, proactive care. We connect to your medical records and wearables to watch for "clinical drift," catching subtle declines in health that human doctors miss between visits. Most AI health apps are just chatbots. Prana is a full-stack medical provider. Our AI acts as a always-on physician that watches your data, explains your labs, and manages your prescriptions. Safety & Scale: We automate 90% of the "grunt work" (history taking, logistics, triage) so our human doctors can focus purely on high-leverage decisions. This allows us to offer 24/7 physician care for a fraction of the cost of traditional care. The Team: - Meer Patel (CEO): JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments. - Vishvam Rawal (CTO): Ex-Quant. Building high-frequency data infrastructure for health signals. - Sanjit Menon (CHO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine. Traction: Live in beta with early users.
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 431 companies in Mobility / Logistics. 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 68% of sector peers (real $). Modeled value above 68% 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.
Prana 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 |
|---|---|---|---|---|---|
| 007 TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 05060 TAXI AS | Mobility / Logistics | — | — | — | same sector |
| 1-10 Logistics Center, LLC | Mobility / Logistics | Series A | $6.2M | $72.3M | same sector |
| 123 FLYTTING & TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 1 2 3 LØFT AS | Mobility / Logistics | — | — | — | same sector |
| 1978 INVEST AS | Mobility / Logistics | — | — | — | same sector |
| 1KELT AS | Mobility / Logistics | — | — | — | same sector |
| 1TIL2 AS | Mobility / Logistics | — | — | — | 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 |
|---|---|---|---|---|
| Galen AI Personal AI healthcare agent, powered by clinical and wearable data. | AI / ML | — | — | 78% |
| Prosper AI Phone Agents for Healthcare Operations | Healthtech | — | — | 77% |
| careCycle Voice AI teams for medicare agencies. | HR / Worktech | — | — | 77% |
| Mederva Longevity for the 99%. | AI / ML | — | — | 77% |
| Locata AI Referral Automation for Primary Care Clinics | Healthtech | — | — | 76% |
| mdhub AI-native operating system for behavioral health clinics. | Healthtech | — | — | 76% |
| Beacon Health AI Employees for Primary Care | Healthtech | — | — | 76% |
| FutureClinic Personal doctors through chat | Healthtech | — | — | 76% |
See where Prana sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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