{
  "id": 4884742,
  "title": "DataAgent, which is developing AI agents that autonomously fix failures inside companies' own cloud infrastructure, emerges from stealth with a $10M pre-seed (CTech)",
  "url": "https://urgent.news/2026/09/01/dataagent-which-is-developing-ai-agents-that-autonomously-fix",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T15:40:03.000Z",
  "source": {
    "name": "Techmeme",
    "slug": "techmeme",
    "url": "https://www.calcalistech.com/ctechnews/article/h1vdhnvoge"
  },
  "original_language": "en",
  "account": "Israëli startup DataAgent, specializing in AI agents designed to autonomously resolve issues within companies' cloud infrastructure, has stepped out of stealth mode, securing $10 million in pre-Seed funding, targeting a burgeoning cost within modern software systems management. Headquartered in Tel Aviv, the firm leverages a remediation-first platform tailored for Kubernetes and interconnected systems. Rather than merely notifying engineers of system failures and assisting in diagnosis, DataAgent's technology autonomously identifies faults and implements verified fixes. This approach contrasts significantly with conventional observability methods, which typically require external analysis of vast logs, metrics, and telemetry, leading to escalated costs and complexity. DataAgent's solution integrates directly into the customer's infrastructure, allowing for real-time system actions, thereby optimizing operational efficiency. The platform's core is its self-healing infrastructure, as emphasized by Ishay Yaari, the co-founder and CEO. DataAgent's recent $10 million pre-Seed funding, spearheaded by MizMaa Ventures and Alicorn Venture Partners, will fuel its market rollout and accelerate adoption in North America. The company, comprised of 15 employees and expanding its go-to-market team in the U.S. and Israel, adopts a novel approach to software failure management. Contrasting with the conventional sequence of problem detection, information transmission to an observability platform, and eventual engineer intervention, DataAgent aims to expedite service restoration by identifying system causes and applying fixes directly. This method promises to reduce mean time to resolution (MTTR), bypassing the time-intensive diagnostic phase. Additionally, DataAgent envisions significant cost reductions in observability, as its internal data processing negates the need for continuous telemetry transmission to external clouds for analysis.",
  "summary": "The Israeli startup is taking aim at the cost and complexity of observability by putting autonomous agents directly inside production environments.",
  "key_points": [
    "Israeli startup DataAgent unveils AI agents for autonomous cloud infrastructure repair",
    "$10 million pre-Seed funding secured from MizMaa Ventures and Alicorn Venture Partners",
    "Platform autonomously identifies and implements fixes, reducing mean time to resolution"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}