BERLIN — February 12, 2026 — Aigentiq, a leader in enterprise-grade agentic AI systems, today announced its recognition in the 2025 Gartner® AI Vendor Race: Essential AI Services Portfolio for Oil and Gas report. Aigentiq is positioned as a Representative Vendor in the Customer Feedback Analysis use case. Aigentiq believes, this addresses the critical need for proven, deployable AI technologies that bridge the gap between concept and measurable business outcomes. The Aigentiq Platform delivers ready-to-use agents that integrate deeply into enterprise architectures to drive immediate, specific business results.
Mastering Complexity: From Feedback to Core Operations The report identifies Aigentiq within the Customer Feedback Analysis category. Aigentiq views this specific application as a foundational use case for the platform's broader agentic capabilities. Specifically in the Oil and Gas sector, the Aigentiq Platform allows operators to instantly correlate unstructured service complaints with real-time asset telemetry, identifying critical infrastructure risks or contract deviations that isolated data silos would miss. On a broader scale, the platform transforms fragmented stakeholder feedback into structured operational intelligence, equipping leaders to address root causes—such as recurring equipment failures or service gaps—rather than merely treating symptoms.
Engineering Rigor for Enterprise. Aigentiq’s platform development follows intense R&D focused on solving enterprise integration pain points.
"Building true agentic AI demands engineering rigor far beyond standard software development," said Zoran Petrovic, CEO of Aigentiq. "We believe, this recognition is a testament to our team's relentless innovation in delivering a platform that doesn't just promise autonomy but delivers it safely in high-stakes environments. We are incredibly proud of what our engineers achieve daily, and we're just getting started."
Why Autonomous Agents Matter Aigentiq’s autonomous agents drive speed and scale in high-stakes environments by:
Handling Complexity: Agents navigate intricate backend systems, compiling dispersed information that would take human analysts hours.
Actionable Speed: By pre-processing logic and relevance, agents present "ready-to-execute" options, accelerating ROI.
Reliability for High-Stakes Deployments: Aigentiq's engineering rigor ensures agents deliver consistent, safe autonomy, critical for enterprise-grade, high-stakes environments.