Eyer

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Observability

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Ivar Sagemo, Marius Storsten
Pre-Seed
Europe
AI, B2B
Value Creation: Eyer creates value by providing Operational Intelligence that sees failures coming, allowing businesses to prevent incidents before they impact production, revenue, or customer experience. The platform creates a "living fingerprint" of optimal system operations to maintain stability and resilience. It captures further value by reducing alert noise, fewer escalations, and faster resolutions, which in turn reduces labor costs and dependency on scarce experts. Target Customers: The company sells to enterprise operations teams in two primary verticals: Enterprise IT: Current customers include Legrand (US) and Spie (NL), as well as system integrators like Fieldata (NO) and Codit (BE) OT / IoT: High-value use cases in manufacturing and aquaculture, with proof of value (PoV) projects scheduled with companies like Aker Qrill and Akvatech. Revenue Streams and Sales Model Tiered ARR Pricing: Typical IT infrastructure deployments generate $10K ARR, while more complex manufacturing and process control deployments generate $100K ARR. Outcome-Based Expansion: The business utilizes a model that begins with downtime prevention and expands into process optimization and full-scale operational implementation. Sales Strategy: Revenue is driven through a repeatable sales playbook that includes lead generation efforts, targeted monthly funnel goals (e.g., 8 qualified meetings leading to 1 signed customer), and a 90-day performance validation period to measure outcomes.
Early, actionable alerts — not noise

Eyer is an AI-powered observability and headless AIOps platform that plugs into your existing stack via APIs. It automatically learns baselines across IT, OT, and integration data, correlates signals end to end, and delivers context-rich, root-cause-directed alerts—without thresholds, rules, or data scientists. Teams use Eyer to cut alert noise and catch meaningful anomalies early, and can validate value by running it on historical data to see what current tools missed.