mdhubSummer 2024Active☆Watch⊞Compare

mdhub is one of 2138 Healthtech companies tracked from San Francisco, CA, USA, on record since 2024. 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”

AI-native operating system for behavioral health clinics.

mdhub is the AI-native operating system for behavioral health. We combine AI workers with a purpose-built EHR, CRM, and RCM into one platform where clinical teams and AI collaborate across every workflow. Mid to large-sized behavioral health clinics run on disconnected legacy systems that weren't designed for today's demand. The result: clinician burnout, admin bloat, and patients waiting weeks for care. mdhub replaces the entire fragmented stack with a single AI-first platform. Our AI workers: Emma, AI Clinical Assistant: automates documentation and gives clinicians back hours every day. Sarah, AI Admissions Coordinator: handles 100% of inbound calls, verifies insurance, and books patients 24/7. Eric, AI Billing Agent: manages coding, claims submission, and denial management same-day. Our platform: mdhub EHR: the first clinical workspace built for AI from day one. Documentation, intake, treatment planning, e-prescribing, and billing in one place. mdhub CRM: every lead captured, every follow-up automated, nothing falls through the cracks. mdhub RCM: end-to-end revenue cycle management. From claim submission to collections, AI-powered and fully integrated. We're not another EHR with AI bolted on. We're not a point solution. We're the full operating system where AI workers and human teams run a clinic together. Hundreds of mid to large-sized behavioral health clinics use mdhub today, including some of the largest organizations in the country. One platform, less overhead, more patients seen.

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.

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.

mdhub 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.

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.

See where mdhub sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at mdhub, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.