Companies · Healthtech
San Diego · CA, USA · Healthtech · founded 2021 · https://www.letsrecover.com
Diligence memoA one-page analyst read on Recover — recommendation, valuation, rhythm, risks.→Recover: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Recover is one of 2138 Healthtech companies tracked from San Diego, CA, USA, on record since 2021. 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”
Government-funded online addiction treatment
Recover provides more effective and affordable addiction treatment via telemedicine. We partner with local governments to save lives and taxpayer dollars. More than 20 million Americans struggle with addiction, but less than 10% of people who need it receive treatment. For those that do, it usually does not work - only 8% get better. Most of this treatment is funded by governments, and goes to programs that are frequently predatory, and focus more on profit than people. We have created an effective, accessible, and affordable solution: Recover. We offer a proven approach using medication and counseling, that can improve outcomes for over 70% of patients. It reduces overdoses by 80%, death by 50%, and has years of research and application showing it works. Despite how effective this medication can be, most rehabs do not have medical professionals on staff. Not only does our program work better and bring medicine to addiction care, it also costs just 10% of traditional programs. Nick founded Recover after seeing his family and friends struggle with addiction. He was raised by a drug addict, has an alcoholic brother, and lost an uncle to heroin. He saw how hard it is for people to get the treatment they need, and how ineffective existing options are. We are working to make sure that people like Nick’s family have access to best-in-class addiction treatment so they can get and stay well.
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.
Recover 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 |
|---|---|---|---|---|
| Ophelia Medication & support to beat opioid addiction from home | Healthtech | — | — | 77% |
| Health Recovery Solutions, Inc. | Healthtech | Series B | $505.4M | 77% |
| Recovery Partners, Inc. | Other Technology | Pre-Seed | $12.7M | 75% |
| Aware Recovery Care, Inc. | Healthtech | Series B | $31.3M | 73% |
| Sober101, Inc. | Other Health Care | Pre-Seed | $9.2M | 73% |
| Recover Together, Inc. | Other Health Care | Series C | $1.1B | 73% |
| NET Recovery Corp. | Other Technology | Pre-Seed | $3.7M | 73% |
| Recovery Force Health, LLC | Healthtech | Series A | $225.7M | 73% |
See where Recover sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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