{
  "slug": "moss",
  "name": "Moss",
  "description": "Moss provides a low-latency (<10 ms) retrieval layer for real-time AI systems, designed to replace traditional vector databases. It eliminates network hops and runs directly in the browser, edge, device, or cloud, enabling faster and more cost-effective AI applications like voice agents, copilots, and on-device AI.",
  "url": "https://optimly.ai/brand/moss",
  "websiteUrl": "https://moss.dev/",
  "logoUrl": "https://logo.clearbit.com/moss.dev",
  "baiScore": 47.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Agent Memory Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-24T23:00:55.430Z",
  "verifiedVitals": {
    "website": "https://moss.dev",
    "category": "AI retrieval platform",
    "what_it_does": "Moss provides a real-time retrieval layer for AI systems, designed to eliminate latency bottlenecks and replace traditional vector databases. It enables sub-10ms search directly in the browser, at the edge, on devices, or in the cloud, making AI applications like voice agents and copilots faster and more responsive.",
    "primary_audience": "Teams building real-time AI systems, including voice agents, AI copilots, in-app search, and on-device AI, where retrieval latency is critical for user experience.",
    "core_product": "A retrieval layer that replaces vector databases for real-time AI applications, offering sub-10ms search latency and running directly within the agent's process.",
    "pricing_model": null,
    "parent_ownership": null,
    "named_competitors": [
      "Pinecone",
      "Qdrant",
      "Chroma",
      "Weaviate"
    ]
  },
  "intentTags": null,
  "businessProfileClaims": [],
  "timestamp": 1790482247532
}