{
  "slug": "io-net",
  "name": "io.net",
  "description": "io.net is a decentralized physical infrastructure network (DePIN) that aggregates GPU resources from a global network of data centers, crypto miners, and consumers, making them accessible to machine learning engineers and companies at a fraction of the cost of traditional cloud providers. It aims to solve the problem of GPU scarcity and high costs for AI/ML workloads.",
  "url": "https://optimly.ai/brand/io-net",
  "websiteUrl": "https://ionet.com/",
  "logoUrl": "https://logo.clearbit.com/ionet.com",
  "baiScore": 43,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": "Challenger",
  "archetype_status": "active",
  "category": "Decentralized Computing",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-09T00:02:28.616Z",
  "verifiedVitals": {
    "website": "https://ionet.com",
    "founded": "2023",
    "headquarters": "London, UK",
    "pricing_model": "Pay-per-use, hourly billing for GPU resources.",
    "core_products": "Decentralized GPU network for AI/ML training and inference, Io.net Compute marketplace.",
    "key_differentiator": "Decentralized architecture providing access to a globally distributed, cost-effective, and flexible pool of GPUs, mitigating scarcity and high costs of traditional cloud.",
    "target_markets": "AI startups, Machine Learning engineers, researchers, Web3 developers, organizations requiring scalable and cost-effective GPU compute.",
    "employee_count": "50-200",
    "funding_stage": "Seed/Series A",
    "subcategory": "AI Infrastructure, GPU Cloud"
  },
  "intentTags": {
    "problemIntents": [
      "On-premise GPU Clusters: Building and maintaining your own physical GPU servers and infrastructure, requiring significant upfront investment, operational overhead, and expertise.",
      "Limit AI/ML ambitions: Delaying or reducing the scope of AI/ML projects due to high costs or unavailability of necessary compute resources.",
      "Managed AI Infrastructure Services: Hiring a specialized agency or consulting firm to procure, set up, and manage GPU infrastructure for AI projects, often at a premium."
    ],
    "solutionIntents": [
      "io.net decentralized GPU",
      "io.net AI cloud",
      "io.net competitors",
      "decentralized compute for AI",
      "rent GPU for machine learning",
      "io.net stock",
      "Traditional Cloud Providers (AWS, GCP, Azure): Utilizing centralized cloud services to rent GPU instances for AI/ML workloads, often more expensive and subject to supply constraints."
    ],
    "evaluationIntents": [
      "io.net pricing",
      "io.net vs AWS GPU"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1786617579149
}