{
  "slug": "lind",
  "name": "Lind",
  "description": "Lind is an intelligent research platform built for health systems to automate patient screening and matching for clinical trials. It leverages AI and EHR integration to accelerate enrollment, optimize study design for sponsors, and ensure no patient misses a potentially life-saving trial.",
  "url": "https://optimly.ai/brand/lind",
  "websiteUrl": "https://lind.care/",
  "logoUrl": "https://logo.clearbit.com/lind.care",
  "baiScore": 57.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Clinical Trial Patient Enrollment Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-24T04:35:32.648Z",
  "verifiedVitals": {
    "website": "https://lind.care",
    "category": "Healthcare Technology",
    "what_it_does": "Lind is an intelligent research platform that uses AI to automate patient screening for clinical trials, integrating with Electronic Health Records (EHRs) to ensure eligible patients are identified for studies. It aims to accelerate enrollment for health systems and optimize trial protocols for sponsors by providing real-world patient data and site-level intelligence.",
    "primary_audience": "Health Systems, Pharmaceutical/Biotech Sponsors",
    "core_product": "The Lind Platform, an AI-powered intelligent research platform for automated clinical trial patient screening and site network management.",
    "pricing_model": {
      "kind": "custom",
      "detail": "Pricing information is not publicly available; users are prompted to request a demo."
    }
  },
  "intentTags": {
    "problemIntents": [
      "Manual chart review for clinical trials",
      "Eligible patients missing clinical trials",
      "Clinical trials experiencing enrollment delays",
      "Research teams facing resource constraints",
      "Inefficient site selection for clinical studies",
      "Lack of real-world data for protocol optimization"
    ],
    "solutionIntents": [
      "Automated patient screening for clinical trials",
      "AI-powered clinical trial matching",
      "EHR-embedded research platforms",
      "Accelerating clinical trial enrollment",
      "Optimizing clinical trial protocols with data",
      "Data-driven site activation for studies",
      "Improving patient access to clinical trials"
    ],
    "evaluationIntents": [
      "Clinical trial screening accuracy",
      "HIPAA compliance for research platforms",
      "SOC 2 certification for healthcare technology",
      "FHIR-native integration for EHRs",
      "Scalability of clinical research platforms",
      "Validation of AI in clinical trials",
      "Efficiency gains in clinical trial operations"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790444015625
}