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ANOX

ANOX provides automated root-cause diagnostics for complex unmanned systems by analyzing operational telemetry data. Its DeepTrace core monitors hardware, software, and mission context to quickly identify interaction effects causing abnormal behavior. This platform enables operators to resolve issues in minutes and builds long-term operational intelligence across UAVs, ROVs, and autonomous machinery.

Oslo, Norway4200+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Industrial machinery failures often require lengthy manual diagnostics, leading to unplanned downtime and substantial productivity losses. Operators lack real‑time visibility into sensor streams, making it difficult to pinpoint root causes before a fault escalates.

Solution

ANOX delivers a cloud‑native AI agent that continuously ingests high‑frequency sensor data from any equipment in a fleet. Advanced time‑series anomaly detection flags deviations the moment they occur, while a knowledge‑graph based root‑cause engine evaluates probable failure modes. The platform generates actionable recommendations and can execute predefined corrective actions autonomously or after a single‑click operator approval. Integrated dashboards provide instant alerts, status logs, and trend analytics, enabling maintenance teams to intervene before downtime materializes. Seamless REST and OPC‑UA APIs allow the agent to embed within existing SCADA, MES, or ERP workflows, extending full‑fleet visibility without extensive hardware retrofits.

Target Audience

The primary customers are asset‑intensive enterprises—such as manufacturers, energy producers, and robotics operators—that manage large fleets of critical equipment and seek to reduce unplanned downtime through predictive maintenance.

Features

  • Real‑time ingestion of thousands of heterogeneous sensor streams (vibration, temperature, pressure, voltage) with sub‑second latency
  • Machine‑learning models for anomaly detection and probabilistic root‑cause analysis built on a digital‑twin knowledge graph
  • Configurable autonomous remediation actions (e.g., power throttling, fan speed adjustment) with optional one‑click operator override
  • Cloud‑native microservices architecture supporting horizontal scaling across multiple plants and regions
  • Unified web dashboard offering heat‑map visualizations, alert prioritization, and historical trend reports
  • Open APIs (REST, OPC‑UA, MQTT) for integration with SCADA, MES, ERP, and third‑party maintenance platforms
  • End‑to‑end encryption, role‑based access control, and audit logging to meet industrial cybersecurity standards
This profile is AI-generated and may contain inaccuracies.