Editing Stamen Health (section)

== Competitive Landscape ==

=== What Exists Today ===

{| class="wikitable"
! Competitor !! Country !! What They Do !! Critical Gap for Stamen
|---
| [[PicnicHealth]] || US || Patient-anchored medical records, 10K+ facilities, $60M+ raised || US-only, no knowledge graphs, no FAIRification
|---
| [[Better]] || Slovenia || Open-source FHIR platform || No AI curation, no NLP, infrastructure not intelligence
|---
| [[InterSystems]] || US/EU || HealthShare in 100+ countries, ~$1B+ revenue || Enterprise infrastructure, no automation, no patient-facing explainability
|---
| [[Castor EDC]] || Netherlands || Clinical trial FAIRification, 10K+ studies || Trials only, not hospital data, no NLP
|---
| [[Cogstack]] || UK || NHS clinical NLP (open-source) || NHS-specific, no knowledge graphs, no FAIRification
|---
| [[Healx]] || UK || Knowledge graphs for drug discovery, $47M+ raised || Drug repurposing, not patient records, no hospital data
|---
| [[1upHealth]] || US || FHIR patient platform, $40M raised || Data access layer, no curation, no NLP, no KG
|---
| [[Averbis]] || Germany || German clinical NLP || One language, no KG, no hospital integration
|---
| [[Qantev]] || France || AI claims processing, €30M raised (2025) || Insurance claims, not hospital records, no KG
|---
| [[Owkin]] || France || Federated learning, $300M+ raised || Model training, not data curation, no KG
|---
| [[LynxCare]] || Belgium || Clinical data platform, real-world evidence || No KG, no NLP, hospital-focused but not PHKG
|---
| AIDAVA (research) || EU || Full PHKG pipeline prototype || Research only, ends Aug 2026, no commercial product
|}

=== The Gap Stamen Fills ===

No current competitor offers EHDS-compliant PHKG infrastructure purpose-built for private hospitals, production-grade automated curation (AIDAVA reached 45%, target 80%+), multi-language NLP (Norwegian, Swedish, Danish, then German/English), SNOMED CT ontology-backed knowledge graphs, patient-facing explainable AI for health record understanding, and "curate once, reuse many" for private hospital chains.

=== Who Could Close the Gap ===

*PicnicHealth* — could add FAIRification and KG on top of US data, but US-only and no EHDS angle
*Better* — could add AI curation layer, but Slovenian/enterprise sales motion is slow
*Owkin* — could add patient-facing features with $300M, but federated learning is a different architecture bet
*InterSystems* — could add automation, but enterprise sales cycles are 12-18 months, no startup speed
*Google Cloud / Microsoft* — could dominate with FHIR APIs, but hospitals distrust big tech and EU regulatory complexity

'''Stamen's advantage:''' Startup speed + AIDAVA research foundation + Norwegian EHDS leadership + EU private hospital focus.