Deploying AI apps shouldn't be confined to a single location.

{
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  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-01-08T06:44:29.807+00:00",
  "company": {
    "name": "Nutanix",
    "domain": "nutanix.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Cloud",
      "Digital Transformation",
      "Security",
      "Analytics & Insights"
    ],
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7414667216450760704/",
    "num_likes": 46,
    "post_text": "Deploying AI apps shouldn't be confined to a single location. \n\nData is increasingly generated and consumed everywhere - across cloud, datacenter, and edge. Keeping AI in just one place creates bottlenecks, increases latency, and limits the ability to deliver real-time insights where they matter most. \n\nBy enabling AI to run seamlessly across multiple environments, organizations can optimize performance, enhance security, and respond faster to business needs - no matter where the data lives.\n\nDiscover strategies to extend AI seamlessly across hybrid multicloud environments, ensuring scalability and flexibility: https://ntnx.com/4pHsBKt",
    "posted_date": "2026-01-07T14:00:22.257Z"
  }
}

curl https://signals.autobound.ai/v1/signals/6ab3db18-8375-4ab8-8272-567d27e22a34 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"nutanix.com","limit":20}'