Sample
by Sample · AI document workflows for medical records and clinical documents
BenchRank score
Screenshots of Sample
Homepage
Overview
Sample is a document-processing platform for healthcare that extracts, classifies and analyses medical records and clinical documents. It offers copilot interfaces over EHR and internal database data, a workflow designer that routes extracted information between systems and teams, models fine-tuned on customer data, and audit trails across each step.
- Best for
- Healthcare clinical and RCM teams that process medical records and clinical documents at volume.
- Pricing
- No prices are shown on the captured pages; the site directs buyers to a contact form and to sales@samplehc.com.
Strengths and trade-offs
Strengths
- Covers intake, prior authorisation and record abstraction
- Connects to EMR, EHR, RCM systems and internal databases
- Audit trails trace any value back to its source document
- Base models can be fine-tuned on your own data and terminology
Trade-offs
- No pricing published; access runs through a contact form and sales email
- Speed claims (10x, 4x, 75%) are vendor figures with no evidence shown
- Scoped to healthcare documents, not general document processing
- Custom models and integration work imply a forward-deployed engagement
How Sample markets itself
A structured read of the promise, proof and page design on Sample’s captured homepage.
Homepage capture
“AI-powered Document Workflows for Healthcare”
- Angle: Outcome / benefit-led
- Hero: Abstract graphic
Pricing
Published plans and prices from Sample’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
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Where this comes from
The Sample pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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