Kanerika Inc

Kanerika's distinguishing characteristic is the intersection of data engineering and intelligent automation — RPA (Robotic Process Automation) combined with data pipelines. Where most data engineering firms stop at getting data into a warehouse and surfacing it in dashboards, Kanerika extends the value chain: they build automated workflows that act on the data. For manufacturing and logistics clients, this means data pipelines that feed automated order processing, inventory replenishment triggers, and exception management workflows — all without manual analyst intervention.

The firm is a Microsoft Azure specialist. Among their 200 engineers, Azure Data Factory, Azure Synapse Analytics, and Power BI represent their deepest platform expertise, making them a natural fit for organizations already operating in the Microsoft ecosystem (M365, Dynamics, Teams). Their Databricks and Snowflake practices are growing but less mature than their Azure capabilities.

Kanerika's AI/ML work focuses on practical applied AI — anomaly detection in manufacturing quality data, demand forecasting for retail/logistics, and document intelligence using Azure Cognitive Services. This is applied AI (production models solving specific business problems), not research-oriented AI/ML engineering. Organizations needing to build novel ML models or large-scale AI platforms should look at firms with deeper ML research depth.

The $10K minimum project makes Kanerika accessible to mid-market organizations that larger consultancies won't engage. At $75–$150/hr with US-based client management and blended India delivery, they offer strong value in their wheelhouse — Azure-centric, automation-heavy, manufacturing and healthcare verticals.