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Etiq AI – 2025’s Game‑Changing MLOps Debugger { "@context": "https://schema.org", "@type": "TechArticle", "headline": "Etiq AI – 2025’s Game‑Changing MLOps Debugger", "datePublished": "2025-11-08", "dateModified": "2025-11-08", "author": { "@type": "Person", "name": "Senior Tech Journalist" }, "publisher": { "@type": "Organization", "name": "Tech Insight Daily" } } Etiq AI – 2025’s Game‑Changing MLOps Debugger Executive Snapshot (Nov 08, 2025) Seed round: €900 k led by GapMinder VC on 30 April 2025. Founders: Iris Anson (CEO) & Raluca Crisan (CTO), both PhDs with NVIDIA/DeepMind experience. Core product: Data Science Copilot , a post‑training robustness & fairness platform that claims to reduce debugging from weeks to minutes. Revenue model: Freemium + subscription; $50–$150 per user/month for enterprise pipelines, plus a bias‑compliance add‑on. Market opportunity: Data‑science tooling projected to exceed $320 B by 2026. MTTR reduction: 3 weeks → 5 days Compliance ready for EU AI Act 2025: automated audit trail built‑in Partner ecosystem: native plugins for SageMaker, Vertex AI, Azure ML Annual revenue potential: $300 k+ per enterprise user This article translates those facts into actionable insights for investors, founders, and product leaders looking to capitalize on the intersection of MLOps, regulatory compliance, and AI tooling in 2025. Strategic Business Implications The core value proposition of Etiq AI lies in speed‑to‑insight . In a landscape where foundation models such as Gemini 1.5 and Claude 3.5 are deployed at scale across finance, health, and autonomous systems, the cost of debugging can be measured in lost revenue, regulatory fines, or reputational damage. By slashing debugging time from weeks to minutes, Etiq positions itself as an essential layer in every enterprise’s MLOps pipeline. From a funding perspective, the €900 k seed round signals that impact‑focused VCs are still willing to back niche, high‑barrier tech with clear regulatory hooks. GapMi