For healthcare builders

Turn synthetic cohorts into better demos, safer QA, and faster integration work.

MediSynth gives product and data teams repeatable patient populations across simulated upstream networks with realistic availability gaps, identity variance, and export-ready records.

Open console View pricing Read API docs

Demo readiness10 minSeed a believable cohort before a sales call.

QA coverage4 feedsModel provider spread, availability gaps, and identity drift.

Export fitFHIR R4Use Bundle or NDJSON outputs downstream.

Usage controlMeteredAccount credits, key limits, and quotas.

Buyer workflowProblem to proof

Buyer problem Current demo lacks realistic patient variation.

Tailored cohort Choose population, geography, conditions, and prevalence.

Simulated upstream feeds Return the same patients across messy provider sources.

Proof package Hand off API payload, FHIR export, and repeatable seed.

Buyer visualization

Show the real integration problem before the buyer sends data.

The sales page can now visualize source variance, not just describe it in a paragraph.

Pricing

Pricing that stays quiet until you generate data.

Start small, top up credits when needed, and keep retained cohort storage bounded with a 30-day saved export window.

Developer$19/mo25k patients included

Team$49/mo100k patients included

Scale$149/mo500k patients included

Compare plans

Sales-assisted workflows

Show the buyer their problem before implementation begins.

Pre-sales demos

Create a named cohort matching the prospect's workflow: chronic care, maternal health, identity matching, upstream availability, or ED utilization.

Solution design

Use deterministic seeds to keep sales engineering, product, and implementation teams aligned on the same patients across divergent upstream feeds.

Proof checkpoints

Export the same cohort through APIs, FHIR files, and test environments so buyers can verify behavior repeatedly.

Who it helps

A cleaner path for teams that cannot use real patient data in every environment.

Sales engineers can tell a sharper story. QA teams can build repeatable regressions. Data teams can test mapping logic. Product teams can demo complete workflows without waiting on protected datasets.

Sales engineeringDemos

Product QARegression

Data teamsMapping

ImplementationMigration

Example pitch workflow

Generate the same buyer-specific cohort from a slide demo or automated test.

A sales engineer can build a cohort in the console, then hand the API payload to a solution engineer so every follow-up environment sees the same upstream-network frustrations.

{
  "name": "enterprise-mpi-evaluation",
  "population": 1000,
  "seed": 4107,
  "conditions": [
    { "name": "diabetes-type-2", "prevalence": 0.42 },
    { "name": "hypertension", "prevalence": 0.64 }
  ],
  "hie": {
    "sourceSystems": ["regional-hie", "county-provider", "claims-feed", "lab-network"],
    "duplicateRate": 0.11,
    "addressDriftRate": 0.22,
    "missingPhoneRate": 0.14
  }
}