{
  "slug": "radiant-labs",
  "name": "Radiant Labs",
  "description": "Radiant Labs provides a learning layer for production AI agents, enabling them to specialize and learn from past actions, expert feedback, and business data. It helps organizations improve agent performance, reduce token costs, ensure auditable changes, and achieve measured production results, integrating with existing agent stacks.",
  "url": "https://optimly.ai/brand/radiant-labs",
  "websiteUrl": "https://getradiant.ai/",
  "logoUrl": "https://logo.clearbit.com/getradiant.ai",
  "baiScore": 57.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Agent Evaluation Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-08T02:51:48.724Z",
  "verifiedVitals": {
    "website": "https://getradiant.ai",
    "category": "Artificial Intelligence / Machine Learning",
    "what_it_does": "Radiant Labs provides a learning layer for production agents, enabling them to specialize and learn from past actions, expert feedback, and business data. It captures real agent behavior, turns observations into accurate business context, and optimizes the full agent system to improve performance, reduce inference costs, and enhance reliability.",
    "primary_audience": "Businesses and organizations that deploy AI agent systems in production environments, including those in finance (FTSE 100 banks, PE firms), healthcare (clinical settings), and advisory firms.",
    "core_product": "A learning layer and optimization system for AI agents that integrates with existing agent stacks, providing continuous learning from real usage, improving prompts, harness logic, routing, tools, evals, and domain context. They also offer Polaris, an open-source harness for building observable, traceable, and reliable agent systems.",
    "pricing_model": {
      "kind": "custom",
      "detail": "The company works with clients on high-value workflows, integrating with existing systems and delivering measured production improvements within six weeks, suggesting a custom, service-oriented pricing model rather than a standard subscription or one-time purchase."
    }
  },
  "intentTags": null,
  "businessProfileClaims": [],
  "timestamp": 1789792412829
}