Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Artificial Intelligence and Machine Learning/Medcase
Medcase

Medcase

Founded by Brad Cohen & Kyle Giddens in 2017

Connect AI teams with licensed clinicians for medical data annotation and validation

Pricing model

Demo

Rating

★ People love it

Time to value

Requires Expertise

You can use Medcase to source licensed healthcare professionals for medical AI projects. Match clinicians by specialty, sub-specialty, geography, and language to annotate medical imaging, clinical text, EHR, video, and waveform data. Run expert interviews, surveys, and advisory sessions with on-demand clinician access. Validate clinical AI products through structured reader studies and model reviews built to meet FDA and EU AI Act requirements. Medcase handles recruitment, credentialing, onboarding, training, scheduling, payments, and QA.

What Medcase does

Match clinicians by specialty and geography to annotate specific medical data typesRun structured reader studies with licensed clinicians for AI model validationConduct expert interviews and surveys with on-demand healthcare professionalsAnnotate medical imaging data for AI training datasetsReview and validate clinical AI benchmarks against FDA and EU AI Act standardsEvaluate LLM and multimodal clinical AI model outputs with active cliniciansManage clinician recruitment, credentialing, and payment end-to-endProvide specialty-matched label guidelines during AI model fine-tuningMatches projects to clinicians by specialty, sub-specialty, geography, language, and active caseloadNetwork of 20,000+ licensed clinicians across 140+ countries and 100+ specialtiesAnnotates medical imaging, EHR, clinical text, video, waveform, and audio dataHandles end-to-end project management including credentialing, onboarding, scheduling, and QAConducts reader studies and model validation for FDA and EU AI Act complianceSupports LLM and multimodal clinical AI evaluationOn-demand clinician access for surveys, interviews, and advisory inputProjects can be started within 5–10 business days of engagement

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Want a tailored answer?

See whether Medcase fits your stack.

Techbible weighs Medcase against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Medcase

Search the catalog or pick a similar tool to compare pricing, features, and fit.

More in Artificial Intelligence and Machine Learning

All tools →
Assembly AI

Assembly AI

Transcribe speech to text and extract insights from audio via API

Cerebras

Cerebras

Run AI inference up to 15x faster than GPUs using custom chips

Medcase, medical data annotation, clinical AI validation, healthcare data labeling, clinician network, medical imaging annotation, EHR annotation, clinical AI testing, FDA AI validation, EU AI Act, HIPAA compliant, ISO 27001, expert network, reader studies, MedTech AI, pharma AI, clinician matching, medical NLP, clinical LLM evaluation