AI-powered home monitoring for elderly care using IoT sensor data
Veli builds an ambient assisted living platform that analyzes energy consumption patterns in elderly residents' homes to detect anomalies and alert caregivers. The stack—Python, Go, TypeScript, Kafka, Spark, InfluxDB, Kubernetes on Azure—reflects a company architecting for real-time sensor ingestion and ML inference at scale. Active projects span IoT device management, real-time AI pipelines, and sensor data capture, while pain points cluster around scaling from hundreds to millions of households and operationalizing continuous data flows—a classic infrastructure-first scaling challenge for an early-stage deep-tech play.
Veli is a Kassel-based startup (founded 2023) addressing demographic shifts by enabling elderly residents to age in place safely. The core product monitors energy consumption anomalies in homes using IoT sensors and AI to notify caregivers of potential emergencies or changes in resident behavior. The company operates as a public company and is currently focused on expanding from pilot households toward 1,000-home deployment milestones. Teams span backend infrastructure (configuration, operations, data pipelines), full-stack web and alarm-handling features, and cloud optimization on Azure. Most hiring is concentrated in engineering and mid-to-senior technical roles, with active capital fundraising underway.
Python, Go, TypeScript, React, Next.js, Django, PostgreSQL, Kubernetes, Kafka, Spark, InfluxDB, Prometheus, Grafana, and Azure cloud infrastructure.
Real-time IoT data pipelines, AI anomaly detection, sensor data capture platforms, IoT device management, Azure infrastructure, alarm-handling systems, and scaling toward 1,000 household deployments.
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