Data integration, analytics, and AI/ML services for enterprise transformation
Kanerika is a data and AI services firm built around enterprise integration and automation challenges. The stack reveals a full-spectrum approach: Databricks + Snowflake + Delta Lake for analytics infrastructure, Kafka + Event Hubs + Kinesis for streaming, Azure + AWS + GCP for cloud. Current hiring is engineering-heavy (21 roles) with strong data discipline (11 roles), aligned to active projects on RAG chatbots, data lineage, cloud migration, and AI deployment — indicating a shift from pure services delivery toward productized AI/ML solutions.
Kanerika is a data integration and AI/ML services provider founded in 2015, headquartered in Austin, Texas. The firm operates across 6 offices globally with 300+ consultants and serves mid-market to enterprise clients on data strategy, analytics, automation, and AI implementation. Core offerings span custom data pipelines, business intelligence, robotic process automation, and their flagship product FLIP, a low-code DataOps platform for managing complex workflows. The company holds Microsoft Solutions Partner status (Data & AI on Azure) and Databricks Consulting Partner certification. Recent hiring acceleration signals expansion beyond services into product and deeper cloud-native capabilities.
Kanerika uses Databricks, Snowflake, Azure, AWS, GCP, Kafka, Delta Lake, Power BI, Python, Java, Scala, and Tableau for core data and analytics work. Also runs on Synapse, PostgreSQL, and Oracle databases with Git and CI/CD infrastructure.
Kanerika is headquartered in Austin, Texas. The company operates 6 offices globally and is actively hiring in India.
Other companies in the same industry, closest in size