{
  "slug": "peerdata",
  "name": "Peerdata",
  "description": "Peerdata helps businesses unlock the full value of their data by digitizing data commerce and transforming data into assets. Their DBOR™ platform provides a holistic, fact-based view of data assets, liabilities, revenues, and expenses, enabling end-to-end traceability, decision support in data usage, and monetization for data owners, consumers, and providers.",
  "url": "https://optimly.ai/brand/peerdata",
  "websiteUrl": "https://peerdata.tech/",
  "logoUrl": "https://logo.clearbit.com/peerdata.tech",
  "baiScore": 52.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Data Monetization Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-25T23:24:38.458Z",
  "verifiedVitals": {
    "website": "https://peerdata.tech",
    "category": "Data Commerce Platform",
    "what_it_does": "Peerdata offers the DBOR™ platform, a data asset management system designed to help businesses unlock the full value of their data and transform how data operates in the market. It assists organizations in understanding what data they possess, its usage rights and restrictions, how and where it's being used, and their commercial obligations. The platform aims to digitize data commerce, automate usage tracking and invoicing, increase data product discoverability, and prepare data for AI by providing context, lineage, and provenance tracking.",
    "primary_audience": "Organizations that procure data (data consumers), license data to generate revenue (data providers), and digitally capture activities and transactions (data owners).",
    "core_product": "DBOR™ platform (Data Book of Record)",
    "parent_ownership": null,
    "named_competitors": null
  },
  "intentTags": {
    "problemIntents": [
      "difficulty tracking data",
      "manual data discovery and procurement",
      "human-centric and manual data licensing workflows",
      "fragmented data management systems",
      "resource-intensive data management",
      "lack of communication between data systems",
      "data licenses disconnected from service delivery and usage",
      "duplication and dropped information in data tracking",
      "difficulty maximizing data asset value",
      "challenges with data observability, lineage, and provenance",
      "lack of clean, relevant, and well-structured data for AI models"
    ],
    "solutionIntents": [
      "unlocking full data value",
      "transforming data into assets",
      "digitizing data commerce",
      "contextual view of procured and proprietary data",
      "duplication and redundancy discovery",
      "managing data usage rights and restrictions",
      "tracking data lineage and provenance",
      "reconciling common client frameworks",
      "governing and enforcing data controls",
      "measuring ROI on data spend",
      "allocating data costs",
      "managing royalty payments and revenue share",
      "providing a Data Book of Record (DBOR™)",
      "holistic view and analysis of data assets, liabilities, revenues, and expenses",
      "integrating with existing applications and workflows",
      "end-to-end traceability of data flows",
      "decision-support in data usage and product development",
      "empowering AI future with data intelligence",
      "finding needed data and managing assets",
      "making data a value-added service",
      "increasing data gravity",
      "managing data business like an asset manager",
      "making data more discoverable",
      "monetizing data assets",
      "reducing time to context and implementation",
      "enabling agentic workflows for data management",
      "single platform for managing all data (vendor, 3rd party, own)",
      "capturing terms and conditions of data licenses",
      "connecting contract management to service delivery and accounting",
      "observing data usage down to end-user level",
      "tracking revenue and spend allocations",
      "vendor and compliance reporting",
      "reconciling invoices and customer frameworks",
      "searching for data based on tasks",
      "comparing alternative datasets based on attributes and quality",
      "onboarding datasets quickly",
      "automating data subscription processes (STP)",
      "staying up to date with service changes",
      "digitizing terms and conditions for providers",
      "automating usage tracking and invoicing",
      "forecasting revenue for data providers",
      "establishing data taxonomy"
    ],
    "evaluationIntents": [
      "how well do you track your data?",
      "what data do I have?",
      "what can and can’t I do with data?",
      "how and where am I using the data?",
      "what are my commercial obligations?",
      "what is your role in the data economy?",
      "learn more about Peerdata solutions",
      "connect with sales",
      "compare alternative datasets"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790403539011
}