{
  "slug": "hist",
  "name": "Hist",
  "description": "Hist empowers pathologists and researchers with comprehensive Whole Slide Imaging (WSI) datasets and AI-powered digital workflows to accelerate cancer research and discoveries without the usual hurdles. Its CellDX Platform offers AI Autopilot for model training, a vast WSI Data Hub, and tools for slide viewing, annotation, and collaboration.",
  "url": "https://optimly.ai/brand/hist",
  "websiteUrl": "https://hist.ai/",
  "logoUrl": "https://logo.clearbit.com/hist.ai",
  "baiScore": 57.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Digital Pathology Software",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-23T00:49:59.192Z",
  "verifiedVitals": {
    "website": "https://hist.ai",
    "category": "Digital Pathology",
    "what_it_does": "Hist provides a digital pathology platform called CellDX that empowers pathologists and researchers to accelerate cancer research and discoveries. It offers access to a large data hub of whole slide images (WSI), tools for slide viewing and annotation, and an AI Autopilot for training and deploying custom pathology AI models without coding.",
    "primary_audience": "Pathologists, researchers, and professionals in pharma & biotech.",
    "core_product": "CellDX Platform, which includes the Data Hub for whole slide images and the AI Autopilot for training pathology AI models.",
    "pricing_model": {
      "kind": "subscription",
      "detail": "Subscription plans (Start, Personal, Business) for platform access, with usage-based pricing for Whole Slide Images (WSI) from the Data Hub. The AI Autopilot Dataset is free of charge."
    }
  },
  "intentTags": {
    "problemIntents": [
      "Difficulty accessing large, high-quality whole slide imaging (WSI) datasets for pathology research",
      "Challenges in digital pathology workflows and data management",
      "Need to accelerate cancer research and discoveries",
      "High cost, complexity, and time required to build and deploy commercial pathology AI models",
      "Lack of infrastructure or engineering expertise for AI model development in pathology",
      "Need for transparent licensing and fair pricing for pathology WSI data",
      "Inefficient collaboration and slide sharing among pathologists and researchers",
      "Manual and time-consuming processes in pathology analysis and annotation",
      "Challenges in biomarker development and multi-cohort studies"
    ],
    "solutionIntents": [
      "Accessing comprehensive, curated whole slide imaging (WSI) datasets",
      "Utilizing AI and machine learning for pathology analysis and model training",
      "Streamlining digital pathology workflows and operations",
      "Developing and deploying custom AI pathology models without coding (no-code/low-code AI)",
      "Cloud-based collaboration tools for slide sharing, viewing, and annotation in pathology",
      "Secure and scalable cloud-based storage for pathology data",
      "Analyzing statistical distributions and creating custom cohorts from WSI data",
      "Obtaining commercial-ready licenses for pathology WSI data",
      "Accelerating biomarker development and multi-cohort studies with AI platforms"
    ],
    "evaluationIntents": [
      "Comparing digital pathology platforms for research and clinical use",
      "Evaluating AI tools and solutions for pathology analysis",
      "Assessing providers of whole slide imaging (WSI) data hubs and datasets",
      "Reviewing pricing models and licensing terms for pathology data and AI compute",
      "Considering platforms that offer no-code AI model building and deployment",
      "Searching for pathology solutions with integrated slide viewers, annotation tools, and collaboration features",
      "Investigating open-source contributions and community support in pathology AI",
      "Evaluating pathology platforms suitable for pathologists, researchers, pharma, and biotech companies"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790391106437
}