IoT and data platform for shrimp farm monitoring and feed optimization
Eruvaka builds hardware and software for aquaculture operators—focusing on feed management, health monitoring, and pond telemetry. The stack reveals a traditional enterprise foundation (SAP, Oracle, ServiceNow) layered with modern data tools (BigQuery, Python, scikit-learn, Pandas), suggesting they're moving from farm-level sensor collection toward predictive analytics. Active pain points around noisy telemetry and dataset consistency, paired with disaster recovery and security projects, indicate scaling infrastructure strain as they expand beyond India.
Eruvaka Technologies develops intelligent monitoring and management solutions for shrimp aquaculture farms. Founded in 2012 and based in Hyderabad, the company serves operators in over ten countries with products covering feed optimization, health diagnostics, and pond monitoring. The 51–200 person team operates across a full vertical stack: on-farm IoT sensors, cloud-based analytics, and operational software. Current hiring is sparse and concentrated in India across IT, data, engineering, and marketing—reflecting early-stage geographic expansion and internal infrastructure build-out.
Python, Pandas, NumPy, scikit-learn, BigQuery on GCP, plus Tableau and Looker for visualization. SAP and Oracle handle enterprise operations; ServiceNow manages IT workflows.
Hyderabad, Telangana, India. Founded in 2012, the company currently operates with 51–200 employees and serves customers across ten-plus countries.
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