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Kanerika Inc Tech Stack

Enterprise AI and data modernization services for Fortune 500 companies

IT Services and IT Consulting Austin, Texas 201–500 employees Founded 2015 Privately Held

Kanerika delivers custom AI agents and data platform migrations for large enterprises, with a production-ready agent portfolio (FLIP, Karl, KlarityIQ, Klara) that addresses migration, analytics, document intelligence, and compliance. The stack shows heavy investment in modern cloud platforms—Databricks, Snowflake, Microsoft Fabric, Power BI—while actively replacing legacy tools like Cognos; combined with an engineering-heavy hiring mix (18 of 44 open roles) and ongoing projects around Cognos-to-Power BI migrations and RAG-based chatbots, this signals a company scaling both delivery capacity and internal tooling maturity.

Tech Stack 200 technologies

Core StackTableau Power BI Azure DevOps Adobe Creative Cloud Adobe Illustrator Figma JavaScript Databricks Snowflake Kafka Delta Lake Python Scala Java Jira Confluence Ansible Cognos SQL Server Reporting Services Crystal Reports VB.NET DAX Photoshop InDesign Microsoft Fabric Azure Event Hubs Kinesis Synapse Visio Bash+170 more
ReplacingIBM Cognos

What Kanerika Inc Is Building

Challenges

  • Scaling seo operations
  • Migrating legacy bi tools to power bi
  • Monitoring ai interactions
  • Reducing user errors
  • Automating seo workflows
  • High-risk customer pain points
  • Fast-scaling global business financial foundation
  • Cross-border accounting compliance
  • Board-level financial reporting
  • Improving user adoption

Active Projects

  • Integration of test automation into ci/cd pipelines
  • Financial modeling for growth scenarios
  • Rag based chatbot solutions
  • Self-service reporting with power bi
  • Automation pipeline for seo operations
  • Investor pitch deck maintenance
  • Cognos-to-power bi migration
  • Power bi semantic model design
  • Global seo strategy for $35m pipeline
  • Ai-driven programmatic seo framework

Hiring Activity

Accelerating45 roles · 45 in 30d

Department

Engineering
18
Data
6
Product
5
Marketing
4
Finance
3
HR
3
Design
1
Executive
1

Seniority

Senior
23
Mid
8
Lead
7
Manager
3
Junior
2
Intern
1
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About Kanerika Inc

Kanerika is a 201–500-person enterprise services firm headquartered in Austin with delivery centers across the US, India, and Singapore. Founded in 2015, the company focuses on three service lines: custom enterprise AI (agents, generative AI, machine learning), data modernization and migration (moving legacy stacks like Alteryx, Informatica, and Oracle onto Databricks, Snowflake, Microsoft Fabric, and Power BI), and end-to-end data lifecycle services including analytics, integration, governance, and RPA. The firm holds Microsoft Top 1% Fabric Partner status and Databricks partnership credentials, and maintains a 95% client retention rate backed by ISO 9001, 27001, 27701 certifications and SOC 2 compliance.

HeadquartersAustin, Texas
Company Size201–500 employees
Founded2015
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Kanerika use?

Kanerika's primary stack spans Databricks, Snowflake, Microsoft Fabric, Power BI, Python, Java, Scala, Kafka, Azure Event Hubs, and Delta Lake for data engineering and analytics, with Jira, Confluence, and Azure DevOps for delivery. The team also uses Tableau, SQL Server Reporting Services, Cognos, and VB.NET for legacy integration work.

What are Kanerika's core service offerings?

Enterprise AI (custom agents, generative AI, ML solutions), data modernization and migration (legacy tool offboarding to Databricks, Snowflake, Fabric, Power BI), and data lifecycle services (analytics, integration, governance, RPA).

How this profile is built

Kanerika Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.