Buyer problem
Current demo lacks realistic patient variation.
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.
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
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 asking the buyer for anything real.
Walk a buyer from their problem to a repeatable proof: the same patients, four messy upstream feeds, and an export they can verify themselves.
Pricing
Simple metered pricing with credit top-ups.
Start small, top up credits when needed, and keep retained cohort storage bounded with a 30-day saved export window.
Developer$39/mo125k patients included
Team$149/mo1.5M patients included
EnterpriseCustomCustom volume and support
Sales-assisted workflows
Demos that survive the handoff to implementation.
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
}
}
Enterprise contact
Start with the shape of your evaluation.
Tell us the workflow, volume, and timeline you are planning around. We aim to reply within one business day with a focused next step.
Response target1 business day
First conversationUse case + fit
Direct fallbacksupport@cloud.medisynth.io