Medeloop is an agentic AI platform for real-world evidence generation that deploys directly into your AWS environment, enabling researchers to go from hypothesis to publication-ready insights on patient data without the data ever leaving your tenant. Built for healthcare's scientific rigor, the platform generates fully auditable study protocols, cohorts, and results; supporting workflows from exploratory RWE analysis through FDA submission.
Highlights
Federated by design: Compute goes to the data. Your data never leaves your infrastructure.
Data-agnostic architecture: Works on EHRs, claims, registries, or custom datasets. No CDM conversion required.
Validated at every step: Built-in checks on code selection, statistical methodology, and output quality.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy this platform under a contract, priced per user across three options that differ by which data you analyze. EvidenceKit pairs the analytics platform with an all-payer claims dataset, so you can run studies without supplying your own data. The Research Tier runs the analytics on your own institutional data, such as EHR/EMR and operational records. The Pro Tier bundles both, giving you access to all-payer claims plus your institutional data. You pick the tier based on whether you bring your own data, use provided data, or need both.
Top-of-mind questions for buyers
What counts as one user for billing across these three tiers?
Each tier is priced per user, meaning one named seat for a person running research. You add seats for each researcher who needs access. The count drives your cost, so scaling depends on how many team members use the platform, not on data volume or query count.
What drives the difference in cost between the three tiers?
All three are per-user. The difference is data access. EvidenceKit adds an all-payer claims dataset. The Research Tier runs on your own institutional data, like EHR or operational records. The Pro Tier bundles both. You choose based on which data you analyze, not on user count alone.
Do I need to convert or transfer my data to use the Research or Pro Tier?
No conversion is required. The semantic engine reads your data natively, with no common data model mapping. Analysis runs where your data lives through federated execution, so raw data stays in your infrastructure. Only aggregated, de-identified results are returned. This applies to tiers that use your institutional data.
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Vendor refund policy
Refunds may be considered within 7 days of initial purchase for technical issues that cannot be resolved by our support team. To request a refund, contact support@medeloop.ai with your AWS account ID and reason for the request. All refund decisions are at our discretion.
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You can reach us at support@medeloop.ai - we'll get back to you within 24 hours.
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