{
  "slug": "feelit",
  "name": "Feelit",
  "description": "Feelit provides unique ink-based nanotechnology sensing solutions for industrial critical assets. It combines printed sensors, wireless edge devices, and AI-powered analytics to detect parameter changes and predict upcoming failures, enabling predictive and condition-based maintenance to increase uptime, reduce costs, and mitigate safety, health, and environmental risks.",
  "url": "https://optimly.ai/brand/feelit",
  "websiteUrl": "https://feelit.tech/",
  "logoUrl": "https://logo.clearbit.com/feelit.tech",
  "baiScore": 55,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Industrial Condition Monitoring & Predictive Maintenance",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-21T20:28:39.301Z",
  "verifiedVitals": {
    "website": "https://feelit.tech",
    "category": "Industrial IoT and Predictive Maintenance",
    "what_it_does": "Feelit provides unique ink-based nanotechnology sensing solutions, combining printed nano-sticker sensors, wireless edge devices, and proprietary analytics to detect parameter changes and predict failures in industrial process systems. This enables predictive and condition-based maintenance, aiming to increase uptime, reduce costs, and mitigate safety, health, and environmental risks.",
    "primary_audience": "Manufacturers and industrial leaders in sectors such as Oil & Gas, Chemicals, Power, Food & Beverage, Pharma, and Smart Infrastructure.",
    "core_product": "An end-to-end agile sensing and analytics solution featuring AI nano-sticker sensors, a wireless edge device, and proprietary analytics for predictive and condition-based maintenance of industrial assets like flanges, pipes, valves, and steam traps."
  },
  "intentTags": {
    "problemIntents": [
      "Inefficient critical asset management",
      "Unexpected equipment failures and downtime in industrial processes",
      "Lack of timely alerts for critical parameter changes",
      "High maintenance costs",
      "Safety, health, and environment risks due to equipment malfunction",
      "Need for high-resolution structural change detection",
      "Challenges with intrusive monitoring solutions"
    ],
    "solutionIntents": [
      "Predictive maintenance solutions for industrial assets",
      "Condition-based monitoring for manufacturing",
      "Industrial IoT sensing technology deployment",
      "Nanotechnology sensor solutions",
      "AI-powered analytics for industrial processes",
      "Real-time asset monitoring and alerts",
      "Optimizing maintenance operations and costs",
      "Increasing production uptime"
    ],
    "evaluationIntents": [
      "Evaluating nanotechnology sensors for industrial use",
      "Comparing predictive maintenance platforms",
      "Assessing industrial asset monitoring solutions",
      "Reviewing IoT solutions for manufacturing efficiency",
      "Seeking non-intrusive sensing technologies",
      "Looking for solutions to reduce operational costs and risks",
      "Benchmarking industrial analytics platforms"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790422211275
}