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DatadogEarnings

Datadog targets autonomy and security with 100+ tools.

What happened

Datadog had earnings of $1.01B on Jan 1st '26.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Datadog targets autonomy and security with 100+ tools. June 12, 2026 Datadog has launched over 100 new capabilities at its annual DASH conference to solve rising AI complexity. They give organisations full visibility and autonomous control over AI in their development and security workflows. For organisations doing their next generation of digital transformation, visibility and control are critical. Without it, AI becomes another risk factor in an increasingly noisy security space. Olivier Pomel, co-founder and CEO at Datadog, said, "AI has created new operational challenges where code development has outpaced human-scale management and malicious actors now use AI to attack critical systems. "But AI didn't create this complexity - it accelerated what was already there. The companies that win on AI won't just build better models, they'll build operational control around them." Investing in solving operational complexity. As organisations grow, so does operational complexity. To solve that, many invest in a wide range of tools targeting key challenges. For example, CRM for sales and marketing, one or more security platforms to protect users and data, and ERP for manufacturing. In the last few years, every new version of the tools they use comes with some degree of AI capability to improve manageability. Datadog invests around 30% of its revenue into R&D. In the first...

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Extracted by Autobound

From the Signal API record
Event
Earnings

What this signalsEarnings results often set the next budget cycle.

Amount named
$1B
Takes effect
Jan 1, 2026

The full record

From the Signal API record

Numbers

Amount named in the story
$1B

Details

Ticker
NASDAQ:DDOG

Extraction

Confidence
81%
Detected
Jun 12, 2026
signal_type
news
signal_subtype
has_earnings

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/a575efda-620c-4b2f-8e29-04a7bd95a6b2 returns this record as JSON. POST /v1/companies/enrich returns every signal for datadoghq.com.

{
  "signal_id": "a575efda-620c-4b2f-8e29-04a7bd95a6b2",
  "signal_type": "news",
  "signal_subtype": "has_earnings",
  "detected_at": "2026-06-12T05:36:52+00:00",
  "company": {
    "name": "Datadog",
    "domain": "datadoghq.com"
  },
  "data": {
    "url": "https://www.enterprisetimes.co.uk/2026/06/12/datadog-targets-autonomy-and-security-with-100-tools",
    "title": "Datadog targets autonomy and security with 100+ tools.",
    "ticker": "NASDAQ:DDOG",
    "excerpt": "Datadog targets autonomy and security with 100+ tools.\n\nJune 12, 2026\n\nDatadog has launched over 100 new capabilities at its annual DASH conference to solve rising AI complexity. They give organisations full visibility and autonomous control over AI in their development and security workflows. For organisations doing their next generation of digital transformation, visibility and control are critical. Without it, AI becomes another risk factor in an increasingly noisy security space.\n\nOlivier Pomel, co-founder and CEO at Datadog, said, \"AI has created new operational challenges where code development has outpaced human-scale management and malicious actors now use AI to attack critical systems.\n\n\"But AI didn't create this complexity - it accelerated what was already there. The companies that win on AI won't just build better models, they'll build operational control around them.\"\n\nInvesting in solving operational complexity.\n\nAs organisations grow, so does operational complexity. To solve that, many invest in a wide range of tools targeting key challenges. For example, CRM for sales and marketing, one or more security platforms to protect users and data, and ERP for manufacturing. In the last few years, every new version of the tools they use comes with some degree of AI capability to improve manageability.\n\nDatadog invests around 30% of its revenue into R&D. In the first...",
    "summary": "Datadog had earnings of $1.01B on Jan 1st '26.",
    "planning": false,
    "image_url": "https://www.enterprisetimes.co.uk/wp-content/uploads/2026/06/Firefly_A-high-resolution-photorealistic-cybersecurity-concept-image.jpg",
    "confidence": 0.8117,
    "published_at": "2026-06-12T05:36:52Z",
    "effective_date": "2026-01-01",
    "article_sentence": "Datadog invests around 30% of its revenue into R&D. In the first quarter of 2026, the company reported earnings of $1.006 billion and predicted a similar figure for Q2.",
    "amount_normalized": 1006000000
  }
}

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